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This<00:00:00.400><c> is</c><00:00:00.560><c> one</c><00:00:00.719><c> of</c><00:00:00.800><c> the</c><00:00:00.960><c> most</c><00:00:01.199><c> underrated</c><00:00:01.920><c> AI</c>

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This is one of the most underrated AI
 

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This is one of the most underrated AI
breakthroughs<00:00:03.200><c> so</c><00:00:03.520><c> far.</c><00:00:04.080><c> These</c><00:00:04.400><c> researchers</c>

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breakthroughs so far. These researchers
 

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breakthroughs so far. These researchers
made<00:00:05.120><c> an</c><00:00:05.279><c> AI</c><00:00:05.600><c> that</c><00:00:05.839><c> can</c><00:00:06.080><c> understand</c><00:00:06.400><c> the</c><00:00:06.640><c> code</c>

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made an AI that can understand the code
 

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made an AI that can understand the code
of<00:00:07.040><c> life,</c><00:00:07.520><c> DNA.</c><00:00:08.320><c> In</c><00:00:08.559><c> fact,</c><00:00:08.960><c> they</c><00:00:09.200><c> can</c><00:00:09.360><c> use</c><00:00:09.519><c> this</c>

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of life, DNA. In fact, they can use this
 

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of life, DNA. In fact, they can use this
to<00:00:10.160><c> detect</c><00:00:10.559><c> cancer</c><00:00:11.040><c> or</c><00:00:11.360><c> other</c><00:00:11.679><c> diseases,</c><00:00:12.320><c> or</c>

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to detect cancer or other diseases, or
 

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to detect cancer or other diseases, or
it<00:00:12.719><c> can</c><00:00:12.880><c> even</c><00:00:13.120><c> predict</c><00:00:13.440><c> the</c><00:00:13.679><c> effects</c><00:00:14.000><c> of</c>

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it can even predict the effects of
 

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it can even predict the effects of
genetic<00:00:14.639><c> mutations,</c><00:00:15.360><c> and</c><00:00:15.519><c> it</c><00:00:15.759><c> can</c><00:00:15.839><c> even</c>

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genetic mutations, and it can even
 

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genetic mutations, and it can even
generate<00:00:16.560><c> the</c><00:00:16.880><c> complete</c><00:00:17.359><c> DNA</c><00:00:17.920><c> of</c><00:00:18.160><c> a</c><00:00:18.400><c> living</c>

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generate the complete DNA of a living
 

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generate the complete DNA of a living
thing.<00:00:19.279><c> The</c><00:00:19.520><c> implications</c><00:00:20.080><c> of</c><00:00:20.240><c> this</c><00:00:20.560><c> are</c>

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thing. The implications of this are
 

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thing. The implications of this are
wild.<00:00:21.600><c> This</c><00:00:21.920><c> technology</c><00:00:22.560><c> could</c><00:00:22.800><c> help</c>

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wild. This technology could help
 

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wild. This technology could help
scientists<00:00:23.519><c> engineer</c><00:00:24.080><c> better</c><00:00:24.480><c> crops</c><00:00:24.960><c> and</c>

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scientists engineer better crops and
 

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scientists engineer better crops and
unlock<00:00:25.680><c> new</c><00:00:26.000><c> solutions</c><00:00:26.480><c> for</c><00:00:26.800><c> energy</c><00:00:27.199><c> and</c><00:00:27.519><c> food</c>

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unlock new solutions for energy and food
 

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unlock new solutions for energy and food
security.<00:00:28.400><c> And</c><00:00:28.560><c> this</c><00:00:28.800><c> is</c><00:00:28.960><c> also</c><00:00:29.199><c> great</c><00:00:29.439><c> for</c>

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security. And this is also great for
 

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security. And this is also great for
personalized<00:00:30.560><c> medicine.</c><00:00:31.199><c> We</c><00:00:31.439><c> could</c><00:00:31.599><c> even</c><00:00:31.840><c> use</c>

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personalized medicine. We could even use
 

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personalized medicine. We could even use
this<00:00:32.320><c> to</c><00:00:32.559><c> design</c><00:00:33.040><c> entirely</c><00:00:33.600><c> new</c><00:00:33.920><c> species</c><00:00:34.480><c> or</c>

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this to design entirely new species or
 

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this to design entirely new species or
even<00:00:35.040><c> make</c><00:00:35.360><c> ourselves</c><00:00:35.920><c> better.</c><00:00:36.559><c> In</c><00:00:36.800><c> this</c>

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even make ourselves better. In this
 

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even make ourselves better. In this
video,<00:00:37.280><c> I'm</c><00:00:37.440><c> going</c><00:00:37.520><c> to</c><00:00:37.680><c> break</c><00:00:37.920><c> down</c><00:00:38.399><c> exactly</c>

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video, I'm going to break down exactly
 

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video, I'm going to break down exactly
how<00:00:39.360><c> they</c><00:00:39.600><c> did</c><00:00:39.760><c> this,</c><00:00:40.079><c> how</c><00:00:40.320><c> it</c><00:00:40.480><c> works,</c><00:00:40.800><c> and</c>

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how they did this, how it works, and
 

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how they did this, how it works, and
some<00:00:41.360><c> insane</c><00:00:41.920><c> findings</c><00:00:42.399><c> from</c><00:00:42.719><c> this</c><00:00:42.960><c> project.</c>

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some insane findings from this project.
 

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some insane findings from this project.
Now,<00:00:43.680><c> this</c><00:00:43.840><c> is</c><00:00:43.920><c> a</c><00:00:44.160><c> very</c><00:00:44.399><c> technical</c><00:00:44.960><c> paper,</c><00:00:45.600><c> but</c>

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Now, this is a very technical paper, but
 

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Now, this is a very technical paper, but
as<00:00:46.239><c> always,</c><00:00:46.640><c> I'm</c><00:00:46.800><c> going</c><00:00:46.879><c> to</c><00:00:46.960><c> break</c><00:00:47.200><c> this</c><00:00:47.360><c> down</c>

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as always, I'm going to break this down
 

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as always, I'm going to break this down
into<00:00:47.920><c> simple</c><00:00:48.239><c> terms</c><00:00:48.480><c> so</c><00:00:48.719><c> that</c><00:00:48.879><c> anyone</c><00:00:49.280><c> can</c>

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into simple terms so that anyone can
 

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into simple terms so that anyone can
understand.<00:00:50.320><c> Let's</c><00:00:50.640><c> jump</c><00:00:50.960><c> right</c><00:00:51.200><c> in.</c><00:00:51.680><c> Now,</c><00:00:51.920><c> to</c>

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understand. Let's jump right in. Now, to
 

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understand. Let's jump right in. Now, to
understand<00:00:52.719><c> what</c><00:00:53.039><c> they</c><00:00:53.280><c> did</c><00:00:53.440><c> in</c><00:00:53.680><c> this</c><00:00:53.920><c> paper,</c>

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understand what they did in this paper,
 

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understand what they did in this paper,
let's<00:00:54.800><c> start</c><00:00:55.039><c> with</c><00:00:55.360><c> the</c><00:00:55.600><c> basics.</c><00:00:56.239><c> You</c><00:00:56.480><c> see,</c>

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let's start with the basics. You see,
 

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let's start with the basics. You see,
current<00:00:57.039><c> AI</c><00:00:57.440><c> models</c><00:00:57.680><c> that</c><00:00:57.840><c> we</c><00:00:58.000><c> use</c><00:00:58.160><c> today</c><00:00:58.480><c> like</c>

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current AI models that we use today like
 

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current AI models that we use today like
Chat<00:00:59.039><c> GPT</c><00:00:59.760><c> and</c><00:01:00.000><c> Gemini,</c><00:01:00.800><c> these</c><00:01:01.120><c> are</c><00:01:01.359><c> large</c>

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Chat GPT and Gemini, these are large
 

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Chat GPT and Gemini, these are large
language<00:01:02.160><c> models.</c><00:01:02.719><c> They're</c><00:01:03.039><c> designed</c><00:01:03.280><c> to</c><00:01:03.440><c> do</c>

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language models. They're designed to do
 

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language models. They're designed to do
really<00:01:03.920><c> good</c><00:01:04.080><c> at</c><00:01:04.320><c> understanding</c><00:01:04.879><c> and</c>

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really good at understanding and
 

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really good at understanding and
outputting<00:01:05.760><c> natural</c><00:01:06.159><c> language.</c><00:01:06.799><c> That's</c><00:01:06.960><c> why</c>

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outputting natural language. That's why
 

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outputting natural language. That's why
it<00:01:07.439><c> can</c><00:01:07.600><c> generate</c><00:01:08.000><c> a</c><00:01:08.320><c> beautiful</c><00:01:08.799><c> poem</c><00:01:09.280><c> or</c><00:01:09.520><c> a</c>

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it can generate a beautiful poem or a
 

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it can generate a beautiful poem or a
flawless<00:01:10.400><c> essay</c><00:01:11.200><c> or</c><00:01:11.600><c> even</c><00:01:11.920><c> do</c><00:01:12.159><c> a</c><00:01:12.400><c> full</c><00:01:12.880><c> medical</c>

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flawless essay or even do a full medical
 

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flawless essay or even do a full medical
research<00:01:13.920><c> report</c><00:01:14.320><c> for</c><00:01:14.560><c> you.</c><00:01:15.119><c> But</c><00:01:15.360><c> here's</c><00:01:15.680><c> the</c>

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research report for you. But here's the
 

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research report for you. But here's the
interesting<00:01:16.400><c> question.</c><00:01:16.960><c> Instead</c><00:01:17.280><c> of</c><00:01:17.439><c> the</c>

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interesting question. Instead of the
 

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interesting question. Instead of the
natural<00:01:18.080><c> language</c><00:01:18.560><c> that</c><00:01:18.960><c> you</c><00:01:19.119><c> and</c><00:01:19.280><c> I</c><00:01:19.520><c> use</c><00:01:19.759><c> to</c>

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natural language that you and I use to
 

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natural language that you and I use to
communicate,<00:01:20.720><c> you</c><00:01:20.880><c> know</c><00:01:20.960><c> what</c><00:01:21.119><c> else</c><00:01:21.360><c> is</c>

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communicate, you know what else is
 

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communicate, you know what else is
similar?<00:01:22.240><c> DNA</c><00:01:23.040><c> or</c><00:01:23.280><c> the</c><00:01:23.520><c> language</c><00:01:23.920><c> of</c><00:01:24.159><c> life.</c>

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similar? DNA or the language of life.
 

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similar? DNA or the language of life.
What<00:01:24.880><c> if</c><00:01:24.960><c> we</c><00:01:25.119><c> took</c><00:01:25.360><c> the</c><00:01:25.600><c> same</c><00:01:25.840><c> logic</c><00:01:26.240><c> from</c>

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What if we took the same logic from
 

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What if we took the same logic from
these<00:01:26.799><c> large</c><00:01:27.200><c> language</c><00:01:27.600><c> models</c><00:01:28.000><c> and</c><00:01:28.320><c> apply</c><00:01:28.640><c> it</c>

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these large language models and apply it
 

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these large language models and apply it
to<00:01:29.200><c> train</c><00:01:29.600><c> an</c><00:01:29.840><c> AI</c><00:01:30.400><c> that</c><00:01:30.720><c> can</c><00:01:30.880><c> understand</c><00:01:31.280><c> and</c>

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to train an AI that can understand and
 

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to train an AI that can understand and
generate<00:01:32.000><c> DNA?</c><00:01:32.799><c> Well,</c><00:01:33.040><c> that's</c><00:01:33.439><c> exactly</c><00:01:34.000><c> what</c>

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generate DNA? Well, that's exactly what
 

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generate DNA? Well, that's exactly what
these<00:01:34.799><c> researchers</c><00:01:35.360><c> did.</c><00:01:35.840><c> So,</c><00:01:36.000><c> the</c><00:01:36.159><c> paper</c><00:01:36.479><c> is</c>

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these researchers did. So, the paper is
 

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these researchers did. So, the paper is
called<00:01:37.200><c> genome</c><00:01:37.600><c> modeling</c><00:01:37.920><c> and</c><00:01:38.159><c> design</c><00:01:38.400><c> across</c>

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called genome modeling and design across
 

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called genome modeling and design across
all<00:01:39.040><c> domains</c><00:01:39.439><c> of</c><00:01:39.600><c> life</c><00:01:39.920><c> with</c><00:01:40.320><c> EVO</c><00:01:40.880><c> 2.</c><00:01:41.200><c> And</c><00:01:41.360><c> this</c>

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all domains of life with EVO 2. And this
 

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all domains of life with EVO 2. And this
was<00:01:41.759><c> published</c><00:01:42.240><c> recently</c><00:01:42.880><c> in</c><00:01:43.360><c> nature</c><00:01:43.840><c> which</c>

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was published recently in nature which
 

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was published recently in nature which
is<00:01:44.159><c> like</c><00:01:44.320><c> the</c><00:01:44.479><c> most</c><00:01:44.720><c> prestigious</c><00:01:45.280><c> scientific</c>

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is like the most prestigious scientific
 

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is like the most prestigious scientific
journal<00:01:46.159><c> in</c><00:01:46.320><c> the</c><00:01:46.479><c> world.</c><00:01:46.960><c> Now,</c><00:01:47.200><c> before</c><00:01:47.439><c> we</c>

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journal in the world. Now, before we
 

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journal in the world. Now, before we
dive<00:01:47.920><c> into</c><00:01:48.640><c> why</c><00:01:48.960><c> this</c><00:01:49.200><c> is</c><00:01:49.360><c> so</c><00:01:49.600><c> important,</c><00:01:50.240><c> we</c>

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dive into why this is so important, we
 

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dive into why this is so important, we
first<00:01:50.720><c> need</c><00:01:50.880><c> to</c><00:01:51.040><c> understand</c><00:01:51.520><c> what</c><00:01:51.920><c> DNA</c><00:01:52.479><c> is.</c>

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first need to understand what DNA is.
 

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first need to understand what DNA is.
You<00:01:53.200><c> see,</c><00:01:53.439><c> DNA</c><00:01:54.000><c> is</c><00:01:54.159><c> like</c><00:01:54.399><c> the</c><00:01:54.640><c> instruction</c>

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You see, DNA is like the instruction
 

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You see, DNA is like the instruction
manual<00:01:55.680><c> for</c><00:01:56.000><c> life.</c><00:01:56.479><c> Inside</c><00:01:56.960><c> almost</c><00:01:57.360><c> every</c>

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manual for life. Inside almost every
 

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manual for life. Inside almost every
cell<00:01:58.000><c> in</c><00:01:58.320><c> every</c><00:01:58.719><c> living</c><00:01:59.040><c> thing,</c><00:01:59.600><c> there's</c><00:02:00.000><c> DNA.</c>

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cell in every living thing, there's DNA.
 

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cell in every living thing, there's DNA.
And<00:02:00.799><c> it</c><00:02:00.960><c> stores</c><00:02:01.520><c> information</c><00:02:02.399><c> needed</c><00:02:02.799><c> to</c>

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And it stores information needed to
 

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And it stores information needed to
build<00:02:03.360><c> and</c><00:02:03.680><c> run</c><00:02:03.920><c> the</c><00:02:04.159><c> organism.</c><00:02:04.799><c> Now,</c><00:02:05.119><c> DNA</c><00:02:05.680><c> is</c>

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build and run the organism. Now, DNA is
 

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build and run the organism. Now, DNA is
made<00:02:06.399><c> of</c><00:02:06.960><c> only</c><00:02:07.360><c> four</c><00:02:07.759><c> letters</c><00:02:08.479><c> G,</c><00:02:08.800><c> C,</c><00:02:09.119><c> A</c><00:02:09.360><c> or</c><00:02:09.599><c> T.</c>

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made of only four letters G, C, A or T.
 

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made of only four letters G, C, A or T.
And<00:02:10.160><c> these</c><00:02:10.479><c> letters</c><00:02:11.039><c> bond</c><00:02:11.440><c> in</c><00:02:11.680><c> pairs.</c><00:02:12.319><c> So,</c><00:02:12.640><c> G</c>

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And these letters bond in pairs. So, G
 

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And these letters bond in pairs. So, G
bonds<00:02:13.200><c> with</c><00:02:13.440><c> C</c><00:02:13.760><c> and</c><00:02:14.000><c> A</c><00:02:14.239><c> bonds</c><00:02:14.560><c> with</c><00:02:14.800><c> T</c><00:02:15.120><c> and</c><00:02:15.440><c> vice</c>

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bonds with C and A bonds with T and vice
 

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bonds with C and A bonds with T and vice
versa.<00:02:16.239><c> So</c><00:02:16.480><c> from</c><00:02:16.720><c> this</c><00:02:17.040><c> bonding</c><00:02:17.520><c> it</c><00:02:17.760><c> creates</c>

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versa. So from this bonding it creates
 

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versa. So from this bonding it creates
two<00:02:18.480><c> strands</c><00:02:18.959><c> like</c><00:02:19.200><c> this</c><00:02:19.840><c> which</c><00:02:20.400><c> wind</c>

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two strands like this which wind
 

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two strands like this which wind
together<00:02:21.120><c> in</c><00:02:21.360><c> a</c><00:02:21.520><c> spiral</c><00:02:22.000><c> or</c><00:02:22.319><c> double</c><00:02:22.720><c> helix</c>

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together in a spiral or double helix
 

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together in a spiral or double helix
shape<00:02:23.599><c> like</c><00:02:23.920><c> this.</c><00:02:24.400><c> So</c><00:02:24.640><c> this</c><00:02:24.800><c> is</c><00:02:24.959><c> the</c><00:02:25.200><c> classic</c>

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shape like this. So this is the classic
 

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shape like this. So this is the classic
DNA<00:02:26.319><c> shape</c><00:02:26.640><c> that</c><00:02:26.879><c> you</c><00:02:27.040><c> might</c><00:02:27.200><c> be</c><00:02:27.360><c> familiar</c>

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DNA shape that you might be familiar
 

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DNA shape that you might be familiar
with.<00:02:28.080><c> Now</c><00:02:28.319><c> the</c><00:02:28.560><c> sequence</c><00:02:29.120><c> of</c><00:02:29.440><c> these</c><00:02:29.760><c> letters</c>

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with. Now the sequence of these letters
 

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with. Now the sequence of these letters
is<00:02:30.400><c> what</c><00:02:30.640><c> contains</c><00:02:31.120><c> the</c><00:02:31.360><c> instructions</c><00:02:32.000><c> of</c>

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is what contains the instructions of
 

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is what contains the instructions of
life.<00:02:32.800><c> It</c><00:02:32.959><c> encodes</c><00:02:33.599><c> thousands</c><00:02:34.080><c> of</c><00:02:34.319><c> traits</c><00:02:34.640><c> and</c>

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life. It encodes thousands of traits and
 

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life. It encodes thousands of traits and
biological<00:02:35.519><c> processes.</c><00:02:36.319><c> For</c><00:02:36.480><c> example,</c><00:02:36.959><c> for</c>

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biological processes. For example, for
 

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biological processes. For example, for
humans<00:02:37.920><c> this</c><00:02:38.160><c> includes</c><00:02:38.720><c> eye</c><00:02:38.959><c> color,</c><00:02:39.440><c> height,</c>

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humans this includes eye color, height,
 

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humans this includes eye color, height,
risk<00:02:40.239><c> of</c><00:02:40.480><c> disease,</c><00:02:41.040><c> our</c><00:02:41.280><c> immune</c><00:02:41.680><c> system,</c><00:02:42.160><c> how</c>

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risk of disease, our immune system, how
 

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risk of disease, our immune system, how
we<00:02:42.640><c> metabolize,</c><00:02:43.519><c> and</c><00:02:43.760><c> more.</c><00:02:44.160><c> It's</c><00:02:44.400><c> the</c>

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we metabolize, and more. It's the
 

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we metabolize, and more. It's the
blueprint<00:02:45.040><c> for</c><00:02:45.280><c> how</c><00:02:45.519><c> living</c><00:02:45.840><c> things</c><00:02:46.160><c> function</c>

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blueprint for how living things function
 

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blueprint for how living things function
and<00:02:46.879><c> stay</c><00:02:47.120><c> alive.</c><00:02:47.840><c> All</c><00:02:47.840><c> right.</c><00:02:48.160><c> Now,</c><00:02:48.319><c> back</c><00:02:48.560><c> to</c>

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and stay alive. All right. Now, back to
 

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and stay alive. All right. Now, back to
this<00:02:49.040><c> paper</c><00:02:49.599><c> here.</c><00:02:49.920><c> They</c><00:02:50.239><c> created</c><00:02:50.640><c> this</c><00:02:51.040><c> EVO2</c>

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this paper here. They created this EVO2
 

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this paper here. They created this EVO2
biological<00:02:53.280><c> foundation</c><00:02:53.840><c> model</c><00:02:54.400><c> trained</c><00:02:54.800><c> on</c><00:02:55.120><c> 9</c>

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biological foundation model trained on 9
 

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biological foundation model trained on 9
trillion<00:02:56.160><c> DNA</c><00:02:56.720><c> base</c><00:02:57.040><c> pairs.</c><00:02:57.840><c> So,</c><00:02:58.000><c> this</c><00:02:58.160><c> is</c>

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trillion DNA base pairs. So, this is
 

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trillion DNA base pairs. So, this is
actually<00:02:58.879><c> very</c><00:02:59.280><c> similar</c><00:02:59.760><c> to</c><00:03:00.400><c> large</c><00:03:00.720><c> language</c>

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actually very similar to large language
 

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actually very similar to large language
models<00:03:01.360><c> like</c><00:03:01.599><c> Chat</c><00:03:01.920><c> GPT.</c><00:03:02.480><c> But</c><00:03:02.640><c> instead</c><00:03:02.879><c> of</c>

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models like Chat GPT. But instead of
 

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models like Chat GPT. But instead of
being<00:03:03.280><c> trained</c><00:03:03.519><c> on</c><00:03:03.760><c> all</c><00:03:03.920><c> the</c><00:03:04.080><c> data</c><00:03:04.319><c> from</c><00:03:04.560><c> the</c>

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being trained on all the data from the
 

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being trained on all the data from the
internet,<00:03:05.280><c> this</c><00:03:05.599><c> EVO</c><00:03:06.159><c> 2</c><00:03:06.560><c> was</c><00:03:06.879><c> trained</c><00:03:07.200><c> on</c><00:03:07.760><c> 9</c>

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internet, this EVO 2 was trained on 9
 

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internet, this EVO 2 was trained on 9
trillion<00:03:08.720><c> DNA</c><00:03:09.360><c> base</c><00:03:09.599><c> pairs.</c><00:03:10.480><c> Specifically,</c>

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trillion DNA base pairs. Specifically,
 

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trillion DNA base pairs. Specifically,
they<00:03:11.440><c> trained</c><00:03:11.760><c> it</c><00:03:12.000><c> on</c><00:03:12.319><c> a</c><00:03:12.640><c> data</c><00:03:12.879><c> set</c><00:03:13.200><c> called</c>

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they trained it on a data set called
 

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they trained it on a data set called
Open<00:03:14.159><c> Genome</c><00:03:14.720><c> 2.</c><00:03:15.120><c> And</c><00:03:15.360><c> this</c><00:03:15.519><c> data</c><00:03:15.840><c> set</c>

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Open Genome 2. And this data set
 

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Open Genome 2. And this data set
essentially<00:03:16.800><c> takes</c><00:03:17.200><c> millions</c><00:03:17.680><c> of</c><00:03:17.920><c> diverse</c>

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essentially takes millions of diverse
 

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essentially takes millions of diverse
living<00:03:18.800><c> things</c><00:03:19.280><c> from</c><00:03:19.519><c> across</c><00:03:19.840><c> the</c><00:03:20.080><c> entire</c>

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living things from across the entire
 

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living things from across the entire
spectrum<00:03:20.959><c> of</c><00:03:21.200><c> life</c><00:03:21.599><c> and</c><00:03:21.840><c> puts</c><00:03:22.159><c> their</c><00:03:22.319><c> DNA</c><00:03:22.800><c> into</c>

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spectrum of life and puts their DNA into
 

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spectrum of life and puts their DNA into
a<00:03:23.440><c> massive</c><00:03:23.920><c> digital</c><00:03:24.400><c> library.</c><00:03:24.959><c> So,</c><00:03:25.120><c> as</c><00:03:25.280><c> you</c>

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a massive digital library. So, as you
 

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a massive digital library. So, as you
can<00:03:25.440><c> see,</c><00:03:25.680><c> this</c><00:03:25.840><c> includes</c><00:03:26.319><c> everything</c><00:03:26.800><c> from</c>

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can see, this includes everything from
 

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can see, this includes everything from
bacteria,<00:03:28.000><c> plants,</c><00:03:28.480><c> fungi,</c><00:03:29.120><c> and</c><00:03:29.519><c> animals,</c>

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bacteria, plants, fungi, and animals,
 

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bacteria, plants, fungi, and animals,
including<00:03:30.640><c> of</c><00:03:30.879><c> course</c><00:03:31.120><c> humans.</c><00:03:31.840><c> The</c><00:03:32.000><c> total</c>

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including of course humans. The total
 

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including of course humans. The total
size<00:03:32.560><c> of</c><00:03:32.720><c> this</c><00:03:32.959><c> is</c><00:03:33.200><c> like</c><00:03:33.680><c> 9</c><00:03:34.080><c> trillion</c><00:03:34.799><c> DNA</c><00:03:35.360><c> base</c>

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size of this is like 9 trillion DNA base
 

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size of this is like 9 trillion DNA base
pairs.<00:03:36.159><c> So</c><00:03:36.400><c> afterwards</c><00:03:36.879><c> they</c><00:03:37.120><c> used</c><00:03:37.360><c> all</c><00:03:37.599><c> this</c>

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pairs. So afterwards they used all this
 

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pairs. So afterwards they used all this
DNA<00:03:38.400><c> to</c><00:03:38.640><c> train</c><00:03:39.040><c> an</c><00:03:39.280><c> AI</c><00:03:39.680><c> model.</c><00:03:40.159><c> And</c><00:03:40.319><c> here's</c><00:03:40.560><c> the</c>

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DNA to train an AI model. And here's the
 

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DNA to train an AI model. And here's the
technical<00:03:41.200><c> detail</c><00:03:41.519><c> that</c><00:03:41.840><c> really</c><00:03:42.159><c> stands</c><00:03:42.480><c> out</c>

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technical detail that really stands out
 

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technical detail that really stands out
here.<00:03:43.040><c> It</c><00:03:43.280><c> says</c><00:03:43.440><c> that</c><00:03:43.760><c> this</c><00:03:44.080><c> EVO2</c><00:03:44.879><c> model</c><00:03:45.280><c> has</c><00:03:45.519><c> a</c>

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here. It says that this EVO2 model has a
 

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here. It says that this EVO2 model has a
million<00:03:46.239><c> token</c><00:03:46.959><c> context</c><00:03:47.440><c> window</c><00:03:48.080><c> with</c><00:03:48.480><c> single</c>

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million token context window with single
 

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million token context window with single
nucleotide<00:03:50.000><c> resolution.</c><00:03:50.640><c> In</c><00:03:50.879><c> simple</c><00:03:51.120><c> terms,</c>

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nucleotide resolution. In simple terms,
 

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nucleotide resolution. In simple terms,
that<00:03:51.680><c> means</c><00:03:52.000><c> the</c><00:03:52.239><c> AI</c><00:03:52.720><c> can</c><00:03:52.959><c> hold</c><00:03:53.680><c> 1</c><00:03:54.000><c> million</c><00:03:54.640><c> DNA</c>

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that means the AI can hold 1 million DNA
 

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that means the AI can hold 1 million DNA
letters<00:03:55.599><c> in</c><00:03:55.840><c> its</c><00:03:56.080><c> prompt</c><00:03:56.560><c> or</c><00:03:56.799><c> working</c><00:03:57.200><c> memory</c>

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letters in its prompt or working memory
 

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letters in its prompt or working memory
at<00:03:57.840><c> once.</c><00:03:58.480><c> Now,</c><00:03:58.720><c> why</c><00:03:58.959><c> would</c><00:03:59.120><c> we</c><00:03:59.280><c> need</c><00:03:59.439><c> that?</c>

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at once. Now, why would we need that?
 

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at once. Now, why would we need that?
After<00:04:00.000><c> all,</c><00:04:00.319><c> a</c><00:04:00.560><c> single</c><00:04:00.799><c> gene</c><00:04:01.200><c> might</c><00:04:01.439><c> only</c><00:04:01.680><c> be</c><00:04:01.840><c> a</c>

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After all, a single gene might only be a
 

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After all, a single gene might only be a
few<00:04:02.239><c> thousand</c><00:04:02.640><c> letters</c><00:04:03.040><c> long.</c><00:04:03.360><c> Shouldn't</c>

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few thousand letters long. Shouldn't
 

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few thousand letters long. Shouldn't
that<00:04:03.840><c> be</c><00:04:03.920><c> enough?</c><00:04:04.560><c> The</c><00:04:04.879><c> problem</c><00:04:05.120><c> is</c><00:04:05.519><c> that</c>

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that be enough? The problem is that
 

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that be enough? The problem is that
biology<00:04:06.560><c> almost</c><00:04:07.040><c> never</c><00:04:07.360><c> works</c><00:04:07.599><c> in</c><00:04:07.920><c> isolation.</c>

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biology almost never works in isolation.
 

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biology almost never works in isolation.
Here's<00:04:08.799><c> an</c><00:04:08.959><c> example.</c><00:04:09.519><c> You</c><00:04:09.680><c> see,</c><00:04:09.920><c> a</c><00:04:10.159><c> gene,</c>

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Here's an example. You see, a gene,
 

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Here's an example. You see, a gene,
which<00:04:10.720><c> is</c><00:04:10.879><c> just</c><00:04:11.040><c> a</c><00:04:11.280><c> section</c><00:04:11.439><c> of</c><00:04:11.680><c> DNA,</c><00:04:12.239><c> might</c>

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which is just a section of DNA, might
 

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which is just a section of DNA, might
contain<00:04:12.799><c> the</c><00:04:13.040><c> instructions</c><00:04:13.680><c> to</c><00:04:14.080><c> do</c>

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contain the instructions to do
 

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contain the instructions to do
something,<00:04:15.040><c> but</c><00:04:15.439><c> whether</c><00:04:15.760><c> that</c><00:04:16.000><c> gene</c><00:04:16.239><c> is</c>

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something, but whether that gene is
 

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something, but whether that gene is
actually<00:04:16.799><c> activated</c><00:04:17.359><c> or</c><00:04:17.680><c> how</c><00:04:18.000><c> strongly</c><00:04:18.400><c> it's</c>

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actually activated or how strongly it's
 

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actually activated or how strongly it's
executed<00:04:19.359><c> or</c><00:04:19.600><c> when</c><00:04:19.759><c> it</c><00:04:19.919><c> turns</c><00:04:20.160><c> on</c><00:04:20.560><c> often</c>

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executed or when it turns on often
 

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executed or when it turns on often
depends<00:04:21.359><c> on</c><00:04:21.759><c> other</c><00:04:22.160><c> regions</c><00:04:22.800><c> of</c><00:04:23.040><c> DNA</c><00:04:23.680><c> called</c>

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depends on other regions of DNA called
 

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depends on other regions of DNA called
regulatory<00:04:24.880><c> elements.</c><00:04:25.440><c> And</c><00:04:25.600><c> these</c><00:04:25.840><c> elements</c>

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regulatory elements. And these elements
 

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regulatory elements. And these elements
aren't<00:04:26.639><c> always</c><00:04:27.040><c> nearby.</c><00:04:27.600><c> They</c><00:04:27.840><c> might</c><00:04:28.000><c> be</c>

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aren't always nearby. They might be
 

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aren't always nearby. They might be
hundreds<00:04:28.560><c> of</c><00:04:28.800><c> thousands</c><00:04:29.360><c> of</c><00:04:29.680><c> letters</c><00:04:30.160><c> away</c>

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hundreds of thousands of letters away
 

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hundreds of thousands of letters away
along<00:04:30.960><c> the</c><00:04:31.199><c> DNA</c><00:04:31.600><c> strand.</c><00:04:32.160><c> So</c><00:04:32.400><c> the</c>

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along the DNA strand. So the
 

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along the DNA strand. So the
instructions<00:04:33.120><c> and</c><00:04:33.360><c> the</c><00:04:33.520><c> controls</c><00:04:34.000><c> can</c><00:04:34.240><c> be</c>

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instructions and the controls can be
 

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instructions and the controls can be
separated<00:04:34.880><c> by</c><00:04:35.199><c> enormous</c><00:04:35.840><c> distances.</c><00:04:36.639><c> If</c><00:04:36.800><c> the</c>

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separated by enormous distances. If the
 

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separated by enormous distances. If the
model's<00:04:37.360><c> context</c><00:04:37.759><c> window</c><00:04:38.160><c> is</c><00:04:38.400><c> small,</c><00:04:38.960><c> say</c>

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model's context window is small, say
 

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model's context window is small, say
only<00:04:39.600><c> a</c><00:04:39.919><c> few</c><00:04:40.080><c> hundred</c><00:04:40.320><c> thousand</c><00:04:40.720><c> tokens,</c><00:04:41.440><c> it</c>

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only a few hundred thousand tokens, it
 

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only a few hundred thousand tokens, it
might<00:04:41.840><c> not</c><00:04:42.000><c> be</c><00:04:42.240><c> able</c><00:04:42.479><c> to</c><00:04:42.720><c> capture</c><00:04:43.120><c> all</c><00:04:43.360><c> the</c>

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might not be able to capture all the
 

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might not be able to capture all the
relevant<00:04:44.000><c> parts</c><00:04:44.240><c> of</c><00:04:44.400><c> a</c><00:04:44.560><c> DNA</c><00:04:44.960><c> strand.</c><00:04:45.440><c> Because</c>

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relevant parts of a DNA strand. Because
 

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relevant parts of a DNA strand. Because
this<00:04:46.000><c> new</c><00:04:46.160><c> EVO2</c><00:04:46.880><c> has</c><00:04:47.040><c> a</c><00:04:47.280><c> much</c><00:04:47.440><c> larger</c><00:04:48.080><c> million</c>

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this new EVO2 has a much larger million
 

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this new EVO2 has a much larger million
token<00:04:48.960><c> context</c><00:04:49.440><c> window,</c><00:04:49.919><c> it</c><00:04:50.160><c> can</c><00:04:50.320><c> understand</c>

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token context window, it can understand
 

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token context window, it can understand
context<00:04:51.360><c> across</c><00:04:52.160><c> DNA</c><00:04:52.720><c> a</c><00:04:52.960><c> lot</c><00:04:53.199><c> better.</c><00:04:53.680><c> Now,</c>

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context across DNA a lot better. Now,
 

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context across DNA a lot better. Now,
holding<00:04:54.320><c> that</c><00:04:54.560><c> much</c><00:04:54.800><c> information</c><00:04:55.199><c> is</c><00:04:55.520><c> one</c>

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holding that much information is one
 

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holding that much information is one
thing,<00:04:56.000><c> but</c><00:04:56.320><c> actually</c><00:04:56.639><c> being</c><00:04:56.880><c> able</c><00:04:57.040><c> to</c>

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thing, but actually being able to
 

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thing, but actually being able to
understand,<00:04:58.080><c> remember,</c><00:04:58.479><c> and</c><00:04:58.800><c> analyze</c><00:04:59.280><c> all</c>

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understand, remember, and analyze all
 

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understand, remember, and analyze all
this<00:04:59.759><c> data</c><00:05:00.080><c> is</c><00:05:00.400><c> something</c><00:05:00.639><c> else.</c><00:05:01.199><c> To</c><00:05:01.440><c> prove</c>

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this data is something else. To prove
 

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this data is something else. To prove
their<00:05:02.000><c> system</c><00:05:02.400><c> could</c><00:05:02.720><c> actually</c><00:05:03.040><c> handle</c><00:05:03.520><c> a</c>

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their system could actually handle a
 

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their system could actually handle a
million<00:05:04.160><c> DNA</c><00:05:04.639><c> letters</c><00:05:04.960><c> at</c><00:05:05.199><c> once,</c><00:05:05.600><c> the</c>

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million DNA letters at once, the
 

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million DNA letters at once, the
researchers<00:05:06.320><c> ran</c><00:05:06.639><c> a</c><00:05:06.880><c> simple</c><00:05:07.199><c> but</c><00:05:07.520><c> brutal</c>

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researchers ran a simple but brutal
 

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researchers ran a simple but brutal
test.<00:05:08.479><c> Something</c><00:05:08.800><c> called</c><00:05:09.039><c> a</c><00:05:09.280><c> needle</c><00:05:09.600><c> in</c>

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test. Something called a needle in
 

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test. Something called a needle in
haststack<00:05:10.400><c> test.</c><00:05:10.880><c> It's</c><00:05:11.120><c> a</c><00:05:11.280><c> very</c><00:05:11.440><c> standard</c>

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haststack test. It's a very standard
 

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haststack test. It's a very standard
test<00:05:12.000><c> in</c><00:05:12.160><c> AI</c><00:05:12.720><c> and</c><00:05:13.039><c> basically</c><00:05:13.440><c> they</c><00:05:13.680><c> generated</c>

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test in AI and basically they generated
 

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test in AI and basically they generated
a<00:05:14.560><c> completely</c><00:05:15.039><c> random</c><00:05:15.520><c> and</c><00:05:15.759><c> meaningless</c>

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a completely random and meaningless
 

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a completely random and meaningless
sequence<00:05:16.800><c> of</c><00:05:17.280><c> 1</c><00:05:17.520><c> million</c><00:05:18.000><c> DNA</c><00:05:18.639><c> letters.</c>

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sequence of 1 million DNA letters.
 

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sequence of 1 million DNA letters.
That's<00:05:19.520><c> the</c><00:05:19.680><c> haystack.</c><00:05:20.320><c> Then</c><00:05:20.560><c> they</c><00:05:20.800><c> took</c><00:05:21.039><c> a</c>

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That's the haystack. Then they took a
 

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That's the haystack. Then they took a
very<00:05:21.600><c> specific</c><00:05:22.400><c> 100let</c><00:05:23.280><c> sequence</c><00:05:23.919><c> and</c><00:05:24.160><c> hid</c><00:05:24.479><c> it</c>

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very specific 100let sequence and hid it
 

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very specific 100let sequence and hid it
somewhere<00:05:25.280><c> inside</c><00:05:25.840><c> this</c><00:05:26.160><c> massive</c><00:05:26.639><c> random</c>

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somewhere inside this massive random
 

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somewhere inside this massive random
jumble<00:05:27.440><c> of</c><00:05:27.600><c> letters.</c><00:05:28.240><c> This</c><00:05:28.560><c> 100let</c><00:05:29.280><c> sequence</c>

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jumble of letters. This 100let sequence
 

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jumble of letters. This 100let sequence
is<00:05:29.840><c> the</c><00:05:30.080><c> needle.</c><00:05:30.479><c> and</c><00:05:30.639><c> they</c><00:05:30.880><c> asked</c><00:05:31.039><c> Evo</c><00:05:31.600><c> 2</c><00:05:31.840><c> to</c>

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is the needle. and they asked Evo 2 to
 

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is the needle. and they asked Evo 2 to
find<00:05:32.320><c> it.</c><00:05:32.960><c> And</c><00:05:33.120><c> in</c><00:05:33.440><c> short,</c><00:05:33.759><c> EVO</c><00:05:34.240><c> 2</c><00:05:34.479><c> was</c><00:05:34.639><c> able</c><00:05:34.960><c> to</c>

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find it. And in short, EVO 2 was able to
 

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find it. And in short, EVO 2 was able to
find<00:05:35.680><c> it</c><00:05:36.000><c> perfectly.</c><00:05:36.720><c> This</c><00:05:36.960><c> proves</c><00:05:37.280><c> that</c><00:05:37.520><c> it's</c>

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find it perfectly. This proves that it's
 

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find it perfectly. This proves that it's
not<00:05:38.080><c> just</c><00:05:38.320><c> skimming</c><00:05:38.720><c> the</c><00:05:38.960><c> sequence</c><00:05:39.280><c> or</c>

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not just skimming the sequence or
 

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not just skimming the sequence or
forgetting<00:05:40.000><c> stuff</c><00:05:40.320><c> in</c><00:05:40.560><c> this</c><00:05:40.960><c> 1</c><00:05:41.199><c> million</c>

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forgetting stuff in this 1 million
 

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forgetting stuff in this 1 million
letter<00:05:42.160><c> sequence.</c><00:05:42.880><c> It's</c><00:05:43.120><c> actually</c><00:05:43.520><c> reading</c>

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letter sequence. It's actually reading
 

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letter sequence. It's actually reading
and<00:05:44.160><c> retaining</c><00:05:44.560><c> the</c><00:05:44.880><c> entire</c><00:05:45.199><c> thing.</c><00:05:45.759><c> So,</c><00:05:46.000><c> at</c>

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and retaining the entire thing. So, at
 

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and retaining the entire thing. So, at
this<00:05:46.479><c> point,</c><00:05:46.720><c> we</c><00:05:46.960><c> know</c><00:05:47.199><c> a</c><00:05:47.440><c> few</c><00:05:47.600><c> things.</c><00:05:48.000><c> We</c>

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this point, we know a few things. We
 

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this point, we know a few things. We
know<00:05:48.479><c> this</c><00:05:48.720><c> model</c><00:05:49.039><c> was</c><00:05:49.199><c> trained</c><00:05:49.520><c> on</c><00:05:50.000><c> 9</c>

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know this model was trained on 9
 

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know this model was trained on 9
trillion<00:05:50.880><c> DNA</c><00:05:51.360><c> letters</c><00:05:51.840><c> across</c><00:05:52.320><c> the</c><00:05:52.639><c> entire</c>

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trillion DNA letters across the entire
 

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trillion DNA letters across the entire
spectrum<00:05:53.440><c> of</c><00:05:53.600><c> life</c><00:05:54.000><c> from</c><00:05:54.320><c> extreme</c><00:05:54.720><c> bacteria</c>

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spectrum of life from extreme bacteria
 

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spectrum of life from extreme bacteria
to<00:05:55.520><c> human</c><00:05:55.919><c> cells.</c><00:05:56.400><c> We</c><00:05:56.639><c> know</c><00:05:56.720><c> that</c><00:05:56.960><c> it</c><00:05:57.120><c> can</c>

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to human cells. We know that it can
 

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to human cells. We know that it can
remember<00:05:57.600><c> what</c><00:05:57.759><c> it</c><00:05:57.919><c> reads</c><00:05:58.320><c> even</c><00:05:58.479><c> if</c><00:05:58.639><c> it's</c>

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remember what it reads even if it's
 

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remember what it reads even if it's
given<00:05:59.120><c> a</c><00:05:59.440><c> million</c><00:05:59.919><c> letters.</c><00:06:00.639><c> But</c><00:06:00.800><c> here's</c><00:06:01.120><c> the</c>

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given a million letters. But here's the
 

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given a million letters. But here's the
deeper<00:06:01.680><c> question.</c><00:06:02.160><c> Can</c><00:06:02.400><c> it</c><00:06:02.560><c> actually</c>

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deeper question. Can it actually
 

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deeper question. Can it actually
recognize<00:06:03.680><c> patterns?</c><00:06:04.319><c> Can</c><00:06:04.560><c> it</c><00:06:04.720><c> actually</c>

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recognize patterns? Can it actually
 

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recognize patterns? Can it actually
understand<00:06:05.919><c> the</c><00:06:06.240><c> language</c><00:06:06.560><c> of</c><00:06:06.800><c> DNA?</c><00:06:07.600><c> You</c><00:06:07.759><c> see,</c>

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understand the language of DNA? You see,
 

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understand the language of DNA? You see,
when<00:06:08.319><c> Evo2</c><00:06:08.960><c> was</c><00:06:09.199><c> trained,</c><00:06:09.680><c> it</c><00:06:09.919><c> wasn't</c><00:06:10.319><c> given</c>

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when Evo2 was trained, it wasn't given
 

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when Evo2 was trained, it wasn't given
any<00:06:10.960><c> labels</c><00:06:11.360><c> or</c><00:06:11.680><c> answers.</c><00:06:12.160><c> It</c><00:06:12.319><c> was</c><00:06:12.479><c> never</c><00:06:12.639><c> told</c>

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any labels or answers. It was never told
 

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any labels or answers. It was never told
that<00:06:13.280><c> this</c><00:06:13.680><c> particular</c><00:06:14.160><c> sequence</c><00:06:14.479><c> of</c><00:06:14.639><c> DNA</c>

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that this particular sequence of DNA
 

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that this particular sequence of DNA
triggers<00:06:15.360><c> a</c><00:06:15.600><c> disease</c><00:06:16.000><c> or</c><00:06:16.319><c> this</c><00:06:16.639><c> one</c><00:06:16.960><c> is</c><00:06:17.199><c> a</c>

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triggers a disease or this one is a
 

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triggers a disease or this one is a
mutation<00:06:17.840><c> that</c><00:06:18.080><c> could</c><00:06:18.319><c> kill</c><00:06:18.560><c> the</c><00:06:18.800><c> cell</c><00:06:19.199><c> or</c>

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mutation that could kill the cell or
 

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mutation that could kill the cell or
that<00:06:19.759><c> this</c><00:06:20.000><c> one,</c><00:06:20.400><c> for</c><00:06:20.479><c> example,</c><00:06:21.199><c> controls</c>

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that this one, for example, controls
 

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that this one, for example, controls
leaf<00:06:22.000><c> color.</c><00:06:22.400><c> The</c><00:06:22.639><c> model</c><00:06:23.039><c> never</c><00:06:23.360><c> received</c>

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leaf color. The model never received
 

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leaf color. The model never received
these<00:06:24.160><c> labels</c><00:06:24.639><c> or</c><00:06:24.880><c> answers.</c><00:06:25.440><c> It</c><00:06:25.759><c> simply</c><00:06:26.080><c> read</c>

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these labels or answers. It simply read
 

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these labels or answers. It simply read
raw<00:06:26.960><c> unlabeled</c><00:06:27.680><c> DNA</c><00:06:28.319><c> like</c><00:06:28.560><c> this.</c><00:06:29.280><c> So</c><00:06:29.600><c> how</c><00:06:29.759><c> can</c>

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raw unlabeled DNA like this. So how can
 

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raw unlabeled DNA like this. So how can
we<00:06:30.160><c> tell</c><00:06:30.560><c> whether</c><00:06:30.960><c> it</c><00:06:31.199><c> actually</c><00:06:31.600><c> understands</c>

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we tell whether it actually understands
 

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we tell whether it actually understands
DNA?<00:06:33.120><c> This</c><00:06:33.280><c> is</c><00:06:33.360><c> where</c><00:06:33.600><c> a</c><00:06:33.840><c> concept</c><00:06:34.319><c> called</c>

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DNA? This is where a concept called
 

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DNA? This is where a concept called
zeroshot<00:06:35.840><c> prediction</c><00:06:36.479><c> comes</c><00:06:36.720><c> in.</c><00:06:37.120><c> Zero</c><00:06:37.520><c> shot</c>

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zeroshot prediction comes in. Zero shot
 

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zeroshot prediction comes in. Zero shot
means<00:06:38.000><c> the</c><00:06:38.160><c> AI</c><00:06:38.479><c> can</c><00:06:38.639><c> answer</c><00:06:38.960><c> something</c>

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means the AI can answer something
 

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means the AI can answer something
without<00:06:39.600><c> being</c><00:06:40.000><c> explicitly</c><00:06:40.800><c> trained</c><00:06:41.280><c> on</c><00:06:41.520><c> it.</c>

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without being explicitly trained on it.
 

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without being explicitly trained on it.
But<00:06:42.000><c> that</c><00:06:42.160><c> raises</c><00:06:42.560><c> an</c><00:06:42.720><c> obvious</c><00:06:43.039><c> question.</c><00:06:43.759><c> If</c>

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But that raises an obvious question. If
 

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But that raises an obvious question. If
the<00:06:44.240><c> model</c><00:06:44.479><c> was</c><00:06:44.880><c> never</c><00:06:45.199><c> taught</c><00:06:45.600><c> what</c><00:06:45.759><c> a</c>

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the model was never taught what a
 

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the model was never taught what a
disease<00:06:46.319><c> is,</c><00:06:46.720><c> how</c><00:06:46.880><c> could</c><00:06:47.039><c> it</c><00:06:47.280><c> possibly</c><00:06:47.759><c> know</c>

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disease is, how could it possibly know
 

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disease is, how could it possibly know
that<00:06:48.479><c> a</c><00:06:48.720><c> certain</c><00:06:49.039><c> snippet</c><00:06:49.360><c> of</c><00:06:49.520><c> DNA</c><00:06:50.000><c> would</c>

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that a certain snippet of DNA would
 

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that a certain snippet of DNA would
cause<00:06:50.479><c> disease?</c><00:06:51.199><c> The</c><00:06:51.440><c> answer</c><00:06:51.919><c> lies</c><00:06:52.319><c> in</c>

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cause disease? The answer lies in
 

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cause disease? The answer lies in
evolution.<00:06:53.440><c> If</c><00:06:53.680><c> a</c><00:06:53.840><c> genetic</c><00:06:54.240><c> sequence</c><00:06:54.720><c> is</c>

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evolution. If a genetic sequence is
 

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evolution. If a genetic sequence is
absolutely<00:06:55.840><c> essential</c><00:06:56.240><c> for</c><00:06:56.560><c> life,</c><00:06:57.039><c> for</c>

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absolutely essential for life, for
 

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absolutely essential for life, for
example,<00:06:57.600><c> the</c><00:06:57.919><c> proteins</c><00:06:58.319><c> that</c><00:06:58.560><c> allow</c><00:06:58.800><c> a</c><00:06:59.039><c> cell</c>

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example, the proteins that allow a cell
 

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example, the proteins that allow a cell
to<00:06:59.680><c> generate</c><00:07:00.080><c> energy,</c><00:07:00.720><c> evolution</c><00:07:01.360><c> tends</c><00:07:01.759><c> to</c>

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to generate energy, evolution tends to
 

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to generate energy, evolution tends to
keep<00:07:02.160><c> that</c><00:07:02.400><c> sequence</c><00:07:02.960><c> from</c><00:07:03.280><c> change.</c><00:07:03.919><c> You</c><00:07:04.080><c> see,</c>

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keep that sequence from change. You see,
 

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keep that sequence from change. You see,
all<00:07:04.400><c> the</c><00:07:04.560><c> living</c><00:07:04.880><c> things</c><00:07:05.120><c> in</c><00:07:05.360><c> this</c><00:07:05.599><c> data</c><00:07:05.919><c> set</c>

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all the living things in this data set
 

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all the living things in this data set
are<00:07:06.639><c> alive</c><00:07:07.120><c> because</c><00:07:07.520><c> its</c><00:07:07.840><c> DNA</c><00:07:08.319><c> works</c><00:07:08.639><c> and</c><00:07:08.960><c> is</c>

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are alive because its DNA works and is
 

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are alive because its DNA works and is
functional.<00:07:09.680><c> If</c><00:07:09.840><c> a</c><00:07:10.080><c> mutation</c><00:07:10.560><c> messed</c><00:07:10.880><c> up</c><00:07:11.039><c> the</c>

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functional. If a mutation messed up the
 

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functional. If a mutation messed up the
DNA<00:07:11.520><c> in</c><00:07:11.680><c> a</c><00:07:11.840><c> way</c><00:07:12.000><c> that</c><00:07:12.240><c> could</c><00:07:12.479><c> cause</c><00:07:12.880><c> disease</c><00:07:13.280><c> or</c>

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DNA in a way that could cause disease or
 

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DNA in a way that could cause disease or
death,<00:07:13.919><c> well,</c><00:07:14.400><c> that</c><00:07:14.720><c> organism</c><00:07:15.360><c> dies</c><00:07:15.680><c> and</c><00:07:15.919><c> that</c>

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death, well, that organism dies and that
 

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death, well, that organism dies and that
mutation<00:07:16.639><c> wouldn't</c><00:07:17.039><c> appear</c><00:07:17.280><c> in</c><00:07:17.520><c> this</c><00:07:17.680><c> gene</c>

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mutation wouldn't appear in this gene
 

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mutation wouldn't appear in this gene
pool.<00:07:18.479><c> So</c><00:07:18.720><c> over</c><00:07:19.039><c> millions</c><00:07:19.360><c> of</c><00:07:19.520><c> years</c><00:07:19.680><c> of</c>

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pool. So over millions of years of
 

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pool. So over millions of years of
evolution,<00:07:20.560><c> this</c><00:07:20.880><c> process</c><00:07:21.440><c> leaves</c><00:07:21.759><c> a</c><00:07:22.000><c> clear</c>

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evolution, this process leaves a clear
 

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evolution, this process leaves a clear
signal<00:07:22.720><c> in</c><00:07:22.880><c> the</c><00:07:23.039><c> data.</c><00:07:23.360><c> When</c><00:07:23.599><c> Evo</c><00:07:24.080><c> 2</c><00:07:24.400><c> reads</c>

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signal in the data. When Evo 2 reads
 

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signal in the data. When Evo 2 reads
these<00:07:25.280><c> 9</c><00:07:25.680><c> trillion</c><00:07:26.400><c> DNA</c><00:07:26.960><c> letters</c><00:07:27.280><c> from</c><00:07:27.520><c> across</c>

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these 9 trillion DNA letters from across
 

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these 9 trillion DNA letters from across
the<00:07:28.160><c> entire</c><00:07:28.479><c> spectrum</c><00:07:28.880><c> of</c><00:07:29.039><c> life,</c><00:07:29.680><c> it</c><00:07:29.840><c> begins</c>

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the entire spectrum of life, it begins
 

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the entire spectrum of life, it begins
to<00:07:30.319><c> notice</c><00:07:30.720><c> these</c><00:07:31.039><c> patterns.</c><00:07:31.520><c> If</c><00:07:31.680><c> it</c><00:07:31.840><c> notices</c>

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to notice these patterns. If it notices
 

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to notice these patterns. If it notices
the<00:07:32.639><c> exact</c><00:07:32.960><c> same</c><00:07:33.360><c> sequence</c><00:07:33.759><c> of</c><00:07:34.000><c> DNA</c><00:07:34.479><c> in</c><00:07:34.880><c> many</c>

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the exact same sequence of DNA in many
 

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the exact same sequence of DNA in many
different<00:07:35.520><c> species,</c><00:07:36.160><c> it</c><00:07:36.319><c> would</c><00:07:36.479><c> signal</c><00:07:36.800><c> that</c>

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different species, it would signal that
 

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different species, it would signal that
this<00:07:37.360><c> sequence</c><00:07:37.919><c> is</c><00:07:38.240><c> probably</c><00:07:38.720><c> very</c>

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this sequence is probably very
 

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this sequence is probably very
important.<00:07:39.840><c> And</c><00:07:40.080><c> conversely,</c><00:07:40.560><c> if</c><00:07:40.800><c> it</c><00:07:41.039><c> has</c>

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important. And conversely, if it has
 

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important. And conversely, if it has
never<00:07:41.599><c> seen</c><00:07:41.919><c> a</c><00:07:42.160><c> sequence</c><00:07:42.560><c> before</c><00:07:42.880><c> in</c><00:07:43.199><c> this</c>

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never seen a sequence before in this
 

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never seen a sequence before in this
spectrum<00:07:43.840><c> of</c><00:07:44.080><c> life,</c><00:07:44.400><c> it</c><00:07:44.639><c> might</c><00:07:44.800><c> mean</c><00:07:45.039><c> that</c>

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spectrum of life, it might mean that
 

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spectrum of life, it might mean that
that<00:07:45.759><c> sequence</c><00:07:46.319><c> could</c><00:07:46.560><c> be</c><00:07:46.720><c> harmful</c><00:07:47.039><c> or</c><00:07:47.360><c> cause</c>

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that sequence could be harmful or cause
 

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that sequence could be harmful or cause
death.<00:07:48.160><c> Anyways,</c><00:07:48.560><c> the</c><00:07:48.800><c> researchers</c><00:07:49.280><c> had</c><00:07:49.520><c> to</c>

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death. Anyways, the researchers had to
 

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death. Anyways, the researchers had to
prove<00:07:50.000><c> this.</c><00:07:50.400><c> They</c><00:07:50.560><c> had</c><00:07:50.720><c> to</c><00:07:50.880><c> show</c><00:07:50.960><c> that</c><00:07:51.199><c> Evo</c><00:07:51.680><c> 2</c>

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prove this. They had to show that Evo 2
 

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prove this. They had to show that Evo 2
actually<00:07:52.400><c> understood</c><00:07:52.960><c> the</c><00:07:53.199><c> language</c><00:07:53.599><c> of</c><00:07:53.840><c> DNA.</c>

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actually understood the language of DNA.
 

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actually understood the language of DNA.
So<00:07:54.720><c> to</c><00:07:54.960><c> test</c><00:07:55.120><c> it,</c><00:07:55.680><c> they</c><00:07:55.919><c> took</c><00:07:56.240><c> a</c><00:07:56.479><c> real</c><00:07:56.800><c> DNA</c>

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So to test it, they took a real DNA
 

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So to test it, they took a real DNA
sequence<00:07:58.080><c> and</c><00:07:58.400><c> changed</c><00:07:59.039><c> one</c><00:07:59.280><c> letter</c><00:07:59.759><c> and</c><00:08:00.000><c> then</c>

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sequence and changed one letter and then
 

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sequence and changed one letter and then
asked<00:08:00.639><c> the</c><00:08:00.800><c> model</c><00:08:01.120><c> a</c><00:08:01.360><c> simple</c><00:08:01.599><c> question.</c><00:08:02.080><c> Based</c>

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asked the model a simple question. Based
 

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asked the model a simple question. Based
on<00:08:02.479><c> your</c><00:08:02.720><c> understanding,</c><00:08:03.360><c> how</c><00:08:03.599><c> likely</c><00:08:04.080><c> will</c>

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on your understanding, how likely will
 

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on your understanding, how likely will
this<00:08:04.800><c> DNA</c><00:08:05.520><c> exist</c><00:08:05.840><c> in</c><00:08:06.080><c> nature?</c><00:08:06.800><c> If</c><00:08:07.039><c> EVO</c><00:08:07.520><c> assigns</c>

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this DNA exist in nature? If EVO assigns
 

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this DNA exist in nature? If EVO assigns
an<00:08:08.160><c> extremely</c><00:08:08.879><c> low</c><00:08:09.360><c> probability,</c><00:08:10.240><c> the</c><00:08:10.479><c> model</c>

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an extremely low probability, the model
 

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an extremely low probability, the model
essentially<00:08:11.520><c> is</c><00:08:11.840><c> raising</c><00:08:12.160><c> a</c><00:08:12.400><c> red</c><00:08:12.639><c> flag.</c><00:08:13.120><c> It's</c>

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essentially is raising a red flag. It's
 

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essentially is raising a red flag. It's
saying<00:08:13.599><c> like</c><00:08:13.919><c> this</c><00:08:14.160><c> mutation</c><00:08:14.639><c> is</c><00:08:14.960><c> probably</c>

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saying like this mutation is probably
 

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saying like this mutation is probably
harmful<00:08:16.000><c> because</c><00:08:16.240><c> it</c><00:08:16.479><c> wouldn't</c><00:08:16.879><c> exist</c><00:08:17.199><c> in</c>

00:08:17.430 --> 00:08:17.440 align:start position:0%
harmful because it wouldn't exist in
 

00:08:17.440 --> 00:08:19.589 align:start position:0%
harmful because it wouldn't exist in
nature.<00:08:18.080><c> Well,</c><00:08:18.240><c> when</c><00:08:18.560><c> researchers</c><00:08:19.120><c> tested</c>

00:08:19.589 --> 00:08:19.599 align:start position:0%
nature. Well, when researchers tested
 

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nature. Well, when researchers tested
EVO<00:08:20.080><c> 2</c><00:08:20.240><c> this</c><00:08:20.479><c> way,</c><00:08:20.800><c> they</c><00:08:21.039><c> found</c><00:08:21.360><c> some</c>

00:08:21.830 --> 00:08:21.840 align:start position:0%
EVO 2 this way, they found some
 

00:08:21.840 --> 00:08:23.830 align:start position:0%
EVO 2 this way, they found some
incredible<00:08:22.560><c> things.</c><00:08:23.039><c> The</c><00:08:23.280><c> model</c><00:08:23.520><c> was</c>

00:08:23.830 --> 00:08:23.840 align:start position:0%
incredible things. The model was
 

00:08:23.840 --> 00:08:26.390 align:start position:0%
incredible things. The model was
recognizing<00:08:24.560><c> very</c><00:08:24.960><c> specific</c><00:08:25.680><c> biological</c>

00:08:26.390 --> 00:08:26.400 align:start position:0%
recognizing very specific biological
 

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recognizing very specific biological
signals<00:08:26.960><c> without</c><00:08:27.440><c> ever</c><00:08:27.919><c> being</c><00:08:28.240><c> taught</c><00:08:28.560><c> this.</c>

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signals without ever being taught this.
 

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signals without ever being taught this.
For<00:08:29.360><c> example,</c><00:08:29.919><c> it</c><00:08:30.160><c> correctly</c><00:08:30.879><c> identified</c>

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For example, it correctly identified
 

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For example, it correctly identified
mutations<00:08:32.240><c> in</c><00:08:32.640><c> start</c><00:08:33.039><c> codons</c><00:08:33.519><c> and</c><00:08:33.680><c> stop</c>

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mutations in start codons and stop
 

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mutations in start codons and stop
codons.<00:08:34.560><c> To</c><00:08:34.880><c> understand</c><00:08:35.360><c> why</c><00:08:35.680><c> this</c><00:08:36.000><c> matters,</c>

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codons. To understand why this matters,
 

00:08:36.399 --> 00:08:38.550 align:start position:0%
codons. To understand why this matters,
we<00:08:36.560><c> need</c><00:08:36.719><c> to</c><00:08:36.880><c> briefly</c><00:08:37.360><c> look</c><00:08:37.599><c> at</c><00:08:37.839><c> how</c><00:08:38.240><c> cells</c>

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we need to briefly look at how cells
 

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we need to briefly look at how cells
read<00:08:38.880><c> DNA.</c><00:08:39.519><c> You</c><00:08:39.680><c> see,</c><00:08:39.919><c> DNA</c><00:08:40.399><c> is</c><00:08:40.560><c> interpreted</c><00:08:41.039><c> in</c>

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read DNA. You see, DNA is interpreted in
 

00:08:41.360 --> 00:08:43.670 align:start position:0%
read DNA. You see, DNA is interpreted in
groups<00:08:41.599><c> of</c><00:08:41.839><c> three</c><00:08:42.159><c> letters</c><00:08:42.719><c> called</c><00:08:42.959><c> codons.</c>

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groups of three letters called codons.
 

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groups of three letters called codons.
Now,<00:08:43.839><c> a</c><00:08:44.080><c> start</c><00:08:44.320><c> codon,</c><00:08:44.880><c> usually</c><00:08:45.200><c> the</c><00:08:45.360><c> sequence</c>

00:08:45.750 --> 00:08:45.760 align:start position:0%
Now, a start codon, usually the sequence
 

00:08:45.760 --> 00:08:48.710 align:start position:0%
Now, a start codon, usually the sequence
ATG,<00:08:46.640><c> tells</c><00:08:46.880><c> the</c><00:08:47.120><c> cell's</c><00:08:47.440><c> machinery</c><00:08:48.160><c> where</c><00:08:48.480><c> to</c>

00:08:48.710 --> 00:08:48.720 align:start position:0%
ATG, tells the cell's machinery where to
 

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ATG, tells the cell's machinery where to
begin<00:08:49.360><c> building</c><00:08:49.680><c> a</c><00:08:49.920><c> protein.</c><00:08:50.399><c> It</c><00:08:50.640><c> basically</c>

00:08:51.030 --> 00:08:51.040 align:start position:0%
begin building a protein. It basically
 

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begin building a protein. It basically
means<00:08:51.440><c> start</c><00:08:51.760><c> here.</c><00:08:52.320><c> A</c><00:08:52.560><c> stop</c><00:08:52.800><c> codon</c><00:08:53.360><c> does</c><00:08:53.600><c> the</c>

00:08:53.750 --> 00:08:53.760 align:start position:0%
means start here. A stop codon does the
 

00:08:53.760 --> 00:08:55.990 align:start position:0%
means start here. A stop codon does the
opposite.<00:08:54.160><c> It</c><00:08:54.399><c> tells</c><00:08:54.560><c> the</c><00:08:54.800><c> cell</c><00:08:55.120><c> when</c><00:08:55.440><c> to</c><00:08:55.600><c> stop</c>

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opposite. It tells the cell when to stop
 

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opposite. It tells the cell when to stop
building.<00:08:56.640><c> So,</c><00:08:56.800><c> if</c><00:08:56.959><c> you</c><00:08:57.120><c> mutate</c><00:08:57.760><c> the</c><00:08:58.160><c> start</c>

00:08:58.550 --> 00:08:58.560 align:start position:0%
building. So, if you mutate the start
 

00:08:58.560 --> 00:09:00.230 align:start position:0%
building. So, if you mutate the start
codon,<00:08:59.040><c> in</c><00:08:59.279><c> other</c><00:08:59.360><c> words,</c><00:08:59.600><c> if</c><00:08:59.760><c> you</c><00:08:59.920><c> mess</c><00:09:00.080><c> up</c>

00:09:00.230 --> 00:09:00.240 align:start position:0%
codon, in other words, if you mess up
 

00:09:00.240 --> 00:09:02.150 align:start position:0%
codon, in other words, if you mess up
the<00:09:00.399><c> letters,</c><00:09:01.040><c> the</c><00:09:01.200><c> protein</c><00:09:01.600><c> is</c><00:09:01.839><c> never</c>

00:09:02.150 --> 00:09:02.160 align:start position:0%
the letters, the protein is never
 

00:09:02.160 --> 00:09:04.470 align:start position:0%
the letters, the protein is never
produced.<00:09:02.800><c> And</c><00:09:02.959><c> if</c><00:09:03.120><c> you</c><00:09:03.360><c> mutate</c><00:09:03.839><c> the</c><00:09:04.080><c> stop</c>

00:09:04.470 --> 00:09:04.480 align:start position:0%
produced. And if you mutate the stop
 

00:09:04.480 --> 00:09:06.070 align:start position:0%
produced. And if you mutate the stop
code<00:09:04.640><c> on,</c><00:09:04.959><c> then</c><00:09:05.120><c> the</c><00:09:05.279><c> cell</c><00:09:05.600><c> just</c><00:09:05.760><c> keeps</c>

00:09:06.070 --> 00:09:06.080 align:start position:0%
code on, then the cell just keeps
 

00:09:06.080 --> 00:09:08.150 align:start position:0%
code on, then the cell just keeps
working<00:09:06.399><c> and</c><00:09:06.640><c> working</c><00:09:07.120><c> far</c><00:09:07.440><c> past</c><00:09:07.839><c> the</c>

00:09:08.150 --> 00:09:08.160 align:start position:0%
working and working far past the
 

00:09:08.160 --> 00:09:10.230 align:start position:0%
working and working far past the
intended<00:09:08.720><c> endpoint.</c><00:09:09.360><c> It</c><00:09:09.600><c> just</c><00:09:09.760><c> produces</c>

00:09:10.230 --> 00:09:10.240 align:start position:0%
intended endpoint. It just produces
 

00:09:10.240 --> 00:09:12.070 align:start position:0%
intended endpoint. It just produces
something<00:09:10.480><c> that</c><00:09:10.720><c> often</c><00:09:11.040><c> does</c><00:09:11.279><c> not</c><00:09:11.440><c> work.</c><00:09:11.920><c> So</c>

00:09:12.070 --> 00:09:12.080 align:start position:0%
something that often does not work. So
 

00:09:12.080 --> 00:09:14.230 align:start position:0%
something that often does not work. So
when<00:09:12.399><c> scientists</c><00:09:13.040><c> added</c><00:09:13.440><c> mutations</c><00:09:14.000><c> to</c>

00:09:14.230 --> 00:09:14.240 align:start position:0%
when scientists added mutations to
 

00:09:14.240 --> 00:09:17.269 align:start position:0%
when scientists added mutations to
either<00:09:14.640><c> the</c><00:09:14.959><c> start</c><00:09:15.279><c> or</c><00:09:15.600><c> stop</c><00:09:15.920><c> codons,</c><00:09:16.480><c> EVO</c><00:09:16.959><c> 2</c>

00:09:17.269 --> 00:09:17.279 align:start position:0%
either the start or stop codons, EVO 2
 

00:09:17.279 --> 00:09:19.990 align:start position:0%
either the start or stop codons, EVO 2
was<00:09:17.519><c> able</c><00:09:17.839><c> to</c><00:09:18.080><c> correctly</c><00:09:18.720><c> flag</c><00:09:19.120><c> this</c><00:09:19.279><c> mutation</c>

00:09:19.990 --> 00:09:20.000 align:start position:0%
was able to correctly flag this mutation
 

00:09:20.000 --> 00:09:22.630 align:start position:0%
was able to correctly flag this mutation
as<00:09:20.320><c> highly</c><00:09:20.800><c> destructive,</c><00:09:21.519><c> which</c><00:09:21.839><c> is</c><00:09:22.000><c> correct.</c>

00:09:22.630 --> 00:09:22.640 align:start position:0%
as highly destructive, which is correct.
 

00:09:22.640 --> 00:09:24.870 align:start position:0%
as highly destructive, which is correct.
And<00:09:22.800><c> it</c><00:09:23.040><c> was</c><00:09:23.279><c> even</c><00:09:23.519><c> able</c><00:09:23.839><c> to</c><00:09:24.000><c> understand</c><00:09:24.560><c> more</c>

00:09:24.870 --> 00:09:24.880 align:start position:0%
And it was even able to understand more
 

00:09:24.880 --> 00:09:27.269 align:start position:0%
And it was even able to understand more
subtle<00:09:25.279><c> things.</c><00:09:25.760><c> So</c><00:09:26.000><c> here's</c><00:09:26.320><c> another</c><00:09:26.720><c> insane</c>

00:09:27.269 --> 00:09:27.279 align:start position:0%
subtle things. So here's another insane
 

00:09:27.279 --> 00:09:29.269 align:start position:0%
subtle things. So here's another insane
finding.<00:09:27.920><c> The</c><00:09:28.160><c> researchers</c><00:09:28.640><c> found</c><00:09:28.880><c> that</c><00:09:29.040><c> the</c>

00:09:29.269 --> 00:09:29.279 align:start position:0%
finding. The researchers found that the
 

00:09:29.279 --> 00:09:31.670 align:start position:0%
finding. The researchers found that the
model<00:09:29.519><c> could</c><00:09:29.920><c> identify</c><00:09:30.560><c> things</c><00:09:30.880><c> like</c><00:09:31.360><c> the</c>

00:09:31.670 --> 00:09:31.680 align:start position:0%
model could identify things like the
 

00:09:31.680 --> 00:09:34.550 align:start position:0%
model could identify things like the
Shine<00:09:32.240><c> Delgarno</c><00:09:33.040><c> sequence</c><00:09:33.519><c> and</c><00:09:33.760><c> the</c><00:09:33.920><c> KAC</c>

00:09:34.550 --> 00:09:34.560 align:start position:0%
Shine Delgarno sequence and the KAC
 

00:09:34.560 --> 00:09:36.870 align:start position:0%
Shine Delgarno sequence and the KAC
sequence.<00:09:35.200><c> Now,</c><00:09:35.440><c> what</c><00:09:35.760><c> on</c><00:09:36.000><c> earth</c><00:09:36.240><c> are</c><00:09:36.399><c> these?</c>

00:09:36.870 --> 00:09:36.880 align:start position:0%
sequence. Now, what on earth are these?
 

00:09:36.880 --> 00:09:38.790 align:start position:0%
sequence. Now, what on earth are these?
Think<00:09:37.120><c> of</c><00:09:37.279><c> them</c><00:09:37.440><c> as</c><00:09:37.600><c> like</c><00:09:37.920><c> landing</c><00:09:38.240><c> pads</c><00:09:38.640><c> for</c>

00:09:38.790 --> 00:09:38.800 align:start position:0%
Think of them as like landing pads for
 

00:09:38.800 --> 00:09:41.269 align:start position:0%
Think of them as like landing pads for
the<00:09:39.040><c> cell's</c><00:09:39.519><c> protein</c><00:09:40.080><c> building</c><00:09:40.480><c> machinery.</c>

00:09:41.269 --> 00:09:41.279 align:start position:0%
the cell's protein building machinery.
 

00:09:41.279 --> 00:09:43.910 align:start position:0%
the cell's protein building machinery.
You<00:09:41.440><c> see,</c><00:09:41.760><c> before</c><00:09:42.240><c> a</c><00:09:42.560><c> protein</c><00:09:43.040><c> can</c><00:09:43.279><c> be</c><00:09:43.440><c> made,</c>

00:09:43.910 --> 00:09:43.920 align:start position:0%
You see, before a protein can be made,
 

00:09:43.920 --> 00:09:45.990 align:start position:0%
You see, before a protein can be made,
something<00:09:44.240><c> called</c><00:09:44.480><c> a</c><00:09:44.720><c> ribosome</c><00:09:45.440><c> has</c><00:09:45.680><c> to</c>

00:09:45.990 --> 00:09:46.000 align:start position:0%
something called a ribosome has to
 

00:09:46.000 --> 00:09:47.829 align:start position:0%
something called a ribosome has to
attach<00:09:46.399><c> to</c><00:09:46.560><c> it</c><00:09:46.720><c> at</c><00:09:46.959><c> exactly</c><00:09:47.360><c> the</c><00:09:47.600><c> right</c>

00:09:47.829 --> 00:09:47.839 align:start position:0%
attach to it at exactly the right
 

00:09:47.839 --> 00:09:49.829 align:start position:0%
attach to it at exactly the right
location.<00:09:48.560><c> And</c><00:09:48.640><c> if</c><00:09:48.800><c> it</c><00:09:49.040><c> docks</c><00:09:49.360><c> in</c><00:09:49.519><c> the</c><00:09:49.680><c> wrong</c>

00:09:49.829 --> 00:09:49.839 align:start position:0%
location. And if it docks in the wrong
 

00:09:49.839 --> 00:09:51.910 align:start position:0%
location. And if it docks in the wrong
place,<00:09:50.160><c> the</c><00:09:50.399><c> entire</c><00:09:50.720><c> protein</c><00:09:51.360><c> might</c><00:09:51.600><c> not</c><00:09:51.760><c> be</c>

00:09:51.910 --> 00:09:51.920 align:start position:0%
place, the entire protein might not be
 

00:09:51.920 --> 00:09:54.310 align:start position:0%
place, the entire protein might not be
built<00:09:52.240><c> correctly</c><00:09:52.800><c> or</c><00:09:53.040><c> even</c><00:09:53.279><c> at</c><00:09:53.600><c> all.</c><00:09:53.920><c> So</c><00:09:54.080><c> the</c>

00:09:54.310 --> 00:09:54.320 align:start position:0%
built correctly or even at all. So the
 

00:09:54.320 --> 00:09:56.710 align:start position:0%
built correctly or even at all. So the
cell<00:09:54.560><c> has</c><00:09:54.800><c> to</c><00:09:55.040><c> also</c><00:09:55.440><c> code</c><00:09:55.680><c> up</c><00:09:56.000><c> this</c><00:09:56.320><c> landing</c>

00:09:56.710 --> 00:09:56.720 align:start position:0%
cell has to also code up this landing
 

00:09:56.720 --> 00:09:59.110 align:start position:0%
cell has to also code up this landing
pad<00:09:57.040><c> region.</c><00:09:57.519><c> And</c><00:09:57.839><c> for</c><00:09:58.160><c> bacteria,</c><00:09:58.880><c> this</c>

00:09:59.110 --> 00:09:59.120 align:start position:0%
pad region. And for bacteria, this
 

00:09:59.120 --> 00:10:01.350 align:start position:0%
pad region. And for bacteria, this
region<00:09:59.440><c> is</c><00:09:59.600><c> called</c><00:09:59.839><c> the</c><00:10:00.080><c> shine</c><00:10:00.560><c> delgo</c>

00:10:01.350 --> 00:10:01.360 align:start position:0%
region is called the shine delgo
 

00:10:01.360 --> 00:10:03.350 align:start position:0%
region is called the shine delgo
sequence.<00:10:01.920><c> And</c><00:10:02.080><c> then</c><00:10:02.240><c> for</c><00:10:02.480><c> more</c><00:10:02.800><c> complex</c>

00:10:03.350 --> 00:10:03.360 align:start position:0%
sequence. And then for more complex
 

00:10:03.360 --> 00:10:05.509 align:start position:0%
sequence. And then for more complex
organisms<00:10:04.000><c> such</c><00:10:04.240><c> as</c><00:10:04.480><c> humans</c><00:10:04.800><c> and</c><00:10:05.040><c> plants,</c>

00:10:05.509 --> 00:10:05.519 align:start position:0%
organisms such as humans and plants,
 

00:10:05.519 --> 00:10:07.190 align:start position:0%
organisms such as humans and plants,
this<00:10:05.760><c> sequence</c><00:10:06.160><c> is</c><00:10:06.320><c> called</c><00:10:06.480><c> the</c><00:10:06.640><c> KAC</c>

00:10:07.190 --> 00:10:07.200 align:start position:0%
this sequence is called the KAC
 

00:10:07.200 --> 00:10:09.509 align:start position:0%
this sequence is called the KAC
sequence.<00:10:07.920><c> These</c><00:10:08.160><c> sequences</c><00:10:08.720><c> sit</c><00:10:09.040><c> basically</c>

00:10:09.509 --> 00:10:09.519 align:start position:0%
sequence. These sequences sit basically
 

00:10:09.519 --> 00:10:11.350 align:start position:0%
sequence. These sequences sit basically
next<00:10:09.760><c> to</c><00:10:09.920><c> the</c><00:10:10.080><c> start</c><00:10:10.320><c> of</c><00:10:10.480><c> the</c><00:10:10.640><c> gene</c><00:10:11.040><c> and</c>

00:10:11.350 --> 00:10:11.360 align:start position:0%
next to the start of the gene and
 

00:10:11.360 --> 00:10:13.910 align:start position:0%
next to the start of the gene and
basically<00:10:12.080><c> guide</c><00:10:12.399><c> the</c><00:10:12.640><c> ribosome</c><00:10:13.440><c> to</c><00:10:13.680><c> the</c>

00:10:13.910 --> 00:10:13.920 align:start position:0%
basically guide the ribosome to the
 

00:10:13.920 --> 00:10:15.750 align:start position:0%
basically guide the ribosome to the
correct<00:10:14.320><c> starting</c><00:10:14.720><c> point.</c><00:10:15.279><c> Without</c><00:10:15.600><c> them,</c>

00:10:15.750 --> 00:10:15.760 align:start position:0%
correct starting point. Without them,
 

00:10:15.760 --> 00:10:17.670 align:start position:0%
correct starting point. Without them,
the<00:10:15.920><c> ribosome</c><00:10:16.480><c> might</c><00:10:16.720><c> simply</c><00:10:17.120><c> drift</c><00:10:17.440><c> past</c>

00:10:17.670 --> 00:10:17.680 align:start position:0%
the ribosome might simply drift past
 

00:10:17.680 --> 00:10:19.990 align:start position:0%
the ribosome might simply drift past
this<00:10:17.920><c> and</c><00:10:18.160><c> never</c><00:10:18.560><c> latch</c><00:10:18.800><c> on</c><00:10:19.040><c> to</c><00:10:19.200><c> it</c><00:10:19.360><c> to</c><00:10:19.600><c> make</c><00:10:19.760><c> a</c>

00:10:19.990 --> 00:10:20.000 align:start position:0%
this and never latch on to it to make a
 

00:10:20.000 --> 00:10:21.829 align:start position:0%
this and never latch on to it to make a
protein.<00:10:20.480><c> What's</c><00:10:20.800><c> remarkable</c><00:10:21.279><c> is</c><00:10:21.519><c> that</c><00:10:21.680><c> the</c>

00:10:21.829 --> 00:10:21.839 align:start position:0%
protein. What's remarkable is that the
 

00:10:21.839 --> 00:10:24.310 align:start position:0%
protein. What's remarkable is that the
AI<00:10:22.320><c> also</c><00:10:22.640><c> figured</c><00:10:22.959><c> out</c><00:10:23.200><c> these</c><00:10:23.519><c> landing</c><00:10:23.839><c> pads</c>

00:10:24.310 --> 00:10:24.320 align:start position:0%
AI also figured out these landing pads
 

00:10:24.320 --> 00:10:26.870 align:start position:0%
AI also figured out these landing pads
purely<00:10:24.800><c> from</c><00:10:25.200><c> context.</c><00:10:25.839><c> If</c><00:10:26.079><c> the</c><00:10:26.320><c> scientists</c>

00:10:26.870 --> 00:10:26.880 align:start position:0%
purely from context. If the scientists
 

00:10:26.880 --> 00:10:29.670 align:start position:0%
purely from context. If the scientists
added<00:10:27.279><c> mutations</c><00:10:27.920><c> in</c><00:10:28.240><c> these</c><00:10:28.480><c> areas,</c><00:10:29.040><c> the</c><00:10:29.200><c> AI</c>

00:10:29.670 --> 00:10:29.680 align:start position:0%
added mutations in these areas, the AI
 

00:10:29.680 --> 00:10:32.389 align:start position:0%
added mutations in these areas, the AI
was<00:10:30.000><c> able</c><00:10:30.320><c> to</c><00:10:30.640><c> successfully</c><00:10:31.440><c> flag</c><00:10:31.839><c> this</c><00:10:32.160><c> as</c>

00:10:32.389 --> 00:10:32.399 align:start position:0%
was able to successfully flag this as
 

00:10:32.399 --> 00:10:34.870 align:start position:0%
was able to successfully flag this as
highly<00:10:32.800><c> damaging.</c><00:10:33.680><c> And</c><00:10:33.920><c> there's</c><00:10:34.240><c> more.</c><00:10:34.640><c> It</c>

00:10:34.870 --> 00:10:34.880 align:start position:0%
highly damaging. And there's more. It
 

00:10:34.880 --> 00:10:37.030 align:start position:0%
highly damaging. And there's more. It
also<00:10:35.200><c> figured</c><00:10:35.440><c> out</c><00:10:35.680><c> the</c><00:10:36.000><c> difference</c><00:10:36.399><c> between</c>

00:10:37.030 --> 00:10:37.040 align:start position:0%
also figured out the difference between
 

00:10:37.040 --> 00:10:39.990 align:start position:0%
also figured out the difference between
what<00:10:37.279><c> is</c><00:10:37.440><c> called</c><00:10:37.680><c> a</c><00:10:38.240><c> synonymous</c><00:10:38.959><c> mutation</c><00:10:39.760><c> as</c>

00:10:39.990 --> 00:10:40.000 align:start position:0%
what is called a synonymous mutation as
 

00:10:40.000 --> 00:10:42.630 align:start position:0%
what is called a synonymous mutation as
well<00:10:40.160><c> as</c><00:10:40.480><c> a</c><00:10:40.720><c> frame</c><00:10:41.120><c> shift</c><00:10:41.440><c> mutation.</c><00:10:42.320><c> Let's</c>

00:10:42.630 --> 00:10:42.640 align:start position:0%
well as a frame shift mutation. Let's
 

00:10:42.640 --> 00:10:44.710 align:start position:0%
well as a frame shift mutation. Let's
explain<00:10:42.959><c> these</c><00:10:43.279><c> in</c><00:10:43.519><c> simple</c><00:10:43.839><c> terms.</c><00:10:44.320><c> So,</c><00:10:44.560><c> a</c>

00:10:44.710 --> 00:10:44.720 align:start position:0%
explain these in simple terms. So, a
 

00:10:44.720 --> 00:10:46.870 align:start position:0%
explain these in simple terms. So, a
synonymous<00:10:45.279><c> mutation</c><00:10:45.680><c> is</c><00:10:45.839><c> when</c><00:10:46.079><c> you</c><00:10:46.320><c> change</c><00:10:46.640><c> a</c>

00:10:46.870 --> 00:10:46.880 align:start position:0%
synonymous mutation is when you change a
 

00:10:46.880 --> 00:10:48.790 align:start position:0%
synonymous mutation is when you change a
single<00:10:47.120><c> letter</c><00:10:47.279><c> of</c><00:10:47.440><c> DNA.</c><00:10:48.079><c> But</c><00:10:48.160><c> because</c><00:10:48.399><c> of</c><00:10:48.560><c> the</c>

00:10:48.790 --> 00:10:48.800 align:start position:0%
single letter of DNA. But because of the
 

00:10:48.800 --> 00:10:50.790 align:start position:0%
single letter of DNA. But because of the
redundancy<00:10:49.440><c> of</c><00:10:49.680><c> the</c><00:10:49.839><c> genetic</c><00:10:50.320><c> code,</c><00:10:50.640><c> and</c>

00:10:50.790 --> 00:10:50.800 align:start position:0%
redundancy of the genetic code, and
 

00:10:50.800 --> 00:10:52.949 align:start position:0%
redundancy of the genetic code, and
because<00:10:51.040><c> it's</c><00:10:51.279><c> just</c><00:10:51.600><c> one</c><00:10:51.920><c> change,</c><00:10:52.480><c> it</c><00:10:52.720><c> doesn't</c>

00:10:52.949 --> 00:10:52.959 align:start position:0%
because it's just one change, it doesn't
 

00:10:52.959 --> 00:10:55.430 align:start position:0%
because it's just one change, it doesn't
really<00:10:53.279><c> mess</c><00:10:53.680><c> anything</c><00:10:54.079><c> up.</c><00:10:54.560><c> So,</c><00:10:54.720><c> when</c><00:10:54.880><c> Evo</c><00:10:55.279><c> 2</c>

00:10:55.430 --> 00:10:55.440 align:start position:0%
really mess anything up. So, when Evo 2
 

00:10:55.440 --> 00:10:57.430 align:start position:0%
really mess anything up. So, when Evo 2
was<00:10:55.600><c> shown</c><00:10:55.839><c> these</c><00:10:56.160><c> mutations,</c><00:10:56.720><c> it</c><00:10:56.959><c> recognized</c>

00:10:57.430 --> 00:10:57.440 align:start position:0%
was shown these mutations, it recognized
 

00:10:57.440 --> 00:10:59.509 align:start position:0%
was shown these mutations, it recognized
them<00:10:57.600><c> and</c><00:10:57.839><c> said,</c><00:10:58.160><c> "This</c><00:10:58.480><c> is</c><00:10:58.640><c> fine.</c><00:10:59.120><c> It's</c><00:10:59.279><c> a</c>

00:10:59.509 --> 00:10:59.519 align:start position:0%
them and said, "This is fine. It's a
 

00:10:59.519 --> 00:11:01.829 align:start position:0%
them and said, "This is fine. It's a
high<00:10:59.680><c> likelihood</c><00:11:00.240><c> of</c><00:11:00.480><c> survival."</c><00:11:01.440><c> But</c><00:11:01.600><c> a</c>

00:11:01.829 --> 00:11:01.839 align:start position:0%
high likelihood of survival." But a
 

00:11:01.839 --> 00:11:03.990 align:start position:0%
high likelihood of survival." But a
frame<00:11:02.160><c> shift</c><00:11:02.480><c> mutation</c><00:11:03.040><c> is</c><00:11:03.279><c> different.</c><00:11:03.760><c> It's</c>

00:11:03.990 --> 00:11:04.000 align:start position:0%
frame shift mutation is different. It's
 

00:11:04.000 --> 00:11:06.949 align:start position:0%
frame shift mutation is different. It's
catastrophic.<00:11:05.040><c> You</c><00:11:05.200><c> see,</c><00:11:05.600><c> DNA</c><00:11:06.079><c> is</c><00:11:06.320><c> read</c><00:11:06.640><c> in</c>

00:11:06.949 --> 00:11:06.959 align:start position:0%
catastrophic. You see, DNA is read in
 

00:11:06.959 --> 00:11:09.269 align:start position:0%
catastrophic. You see, DNA is read in
chunks<00:11:07.360><c> of</c><00:11:07.680><c> three.</c><00:11:08.079><c> So</c><00:11:08.240><c> if</c><00:11:08.399><c> you</c><00:11:08.560><c> insert</c><00:11:09.040><c> or</c>

00:11:09.269 --> 00:11:09.279 align:start position:0%
chunks of three. So if you insert or
 

00:11:09.279 --> 00:11:12.069 align:start position:0%
chunks of three. So if you insert or
delete<00:11:09.920><c> just</c><00:11:10.320><c> one</c><00:11:10.640><c> single</c><00:11:11.040><c> letter,</c><00:11:11.680><c> every</c>

00:11:12.069 --> 00:11:12.079 align:start position:0%
delete just one single letter, every
 

00:11:12.079 --> 00:11:14.470 align:start position:0%
delete just one single letter, every
single<00:11:12.560><c> threelet</c><00:11:13.200><c> chunk</c><00:11:13.519><c> downstream</c><00:11:14.160><c> is</c>

00:11:14.470 --> 00:11:14.480 align:start position:0%
single threelet chunk downstream is
 

00:11:14.480 --> 00:11:16.949 align:start position:0%
single threelet chunk downstream is
shifted<00:11:14.959><c> by</c><00:11:15.200><c> one.</c><00:11:15.760><c> So</c><00:11:15.920><c> the</c><00:11:16.160><c> entire</c><00:11:16.640><c> rest</c><00:11:16.800><c> of</c>

00:11:16.949 --> 00:11:16.959 align:start position:0%
shifted by one. So the entire rest of
 

00:11:16.959 --> 00:11:18.710 align:start position:0%
shifted by one. So the entire rest of
the<00:11:17.120><c> sequence</c><00:11:17.519><c> becomes</c><00:11:17.839><c> messed</c><00:11:18.160><c> up.</c><00:11:18.480><c> Well,</c>

00:11:18.710 --> 00:11:18.720 align:start position:0%
the sequence becomes messed up. Well,
 

00:11:18.720 --> 00:11:20.949 align:start position:0%
the sequence becomes messed up. Well,
when<00:11:18.959><c> EVO2</c><00:11:19.600><c> was</c><00:11:19.839><c> shown</c><00:11:20.240><c> these</c><00:11:20.560><c> types</c><00:11:20.800><c> of</c>

00:11:20.949 --> 00:11:20.959 align:start position:0%
when EVO2 was shown these types of
 

00:11:20.959 --> 00:11:23.670 align:start position:0%
when EVO2 was shown these types of
mutations,<00:11:21.760><c> it</c><00:11:21.920><c> was</c><00:11:22.160><c> also</c><00:11:22.560><c> able</c><00:11:22.880><c> to</c><00:11:23.120><c> correctly</c>

00:11:23.670 --> 00:11:23.680 align:start position:0%
mutations, it was also able to correctly
 

00:11:23.680 --> 00:11:26.150 align:start position:0%
mutations, it was also able to correctly
say<00:11:24.000><c> that</c><00:11:24.399><c> these</c><00:11:24.880><c> would</c><00:11:25.120><c> be</c><00:11:25.519><c> severely</c>

00:11:26.150 --> 00:11:26.160 align:start position:0%
say that these would be severely
 

00:11:26.160 --> 00:11:27.990 align:start position:0%
say that these would be severely
damaging.<00:11:26.720><c> So</c><00:11:26.880><c> as</c><00:11:27.040><c> you</c><00:11:27.120><c> can</c><00:11:27.200><c> see,</c><00:11:27.440><c> EVO</c><00:11:27.839><c> 2</c>

00:11:27.990 --> 00:11:28.000 align:start position:0%
damaging. So as you can see, EVO 2
 

00:11:28.000 --> 00:11:29.670 align:start position:0%
damaging. So as you can see, EVO 2
didn't<00:11:28.240><c> just</c><00:11:28.399><c> memorize</c><00:11:28.959><c> letters.</c><00:11:29.440><c> It</c>

00:11:29.670 --> 00:11:29.680 align:start position:0%
didn't just memorize letters. It
 

00:11:29.680 --> 00:11:31.670 align:start position:0%
didn't just memorize letters. It
actually<00:11:29.920><c> reverse</c><00:11:30.399><c> engineered</c><00:11:30.880><c> how</c><00:11:31.200><c> DNA</c>

00:11:31.670 --> 00:11:31.680 align:start position:0%
actually reverse engineered how DNA
 

00:11:31.680 --> 00:11:33.509 align:start position:0%
actually reverse engineered how DNA
works<00:11:32.079><c> without</c><00:11:32.480><c> ever</c><00:11:32.800><c> being</c><00:11:33.040><c> taught</c>

00:11:33.509 --> 00:11:33.519 align:start position:0%
works without ever being taught
 

00:11:33.519 --> 00:11:36.230 align:start position:0%
works without ever being taught
anything.<00:11:34.160><c> And</c><00:11:34.320><c> it</c><00:11:34.480><c> gets</c><00:11:34.800><c> even</c><00:11:35.200><c> crazier.</c><00:11:36.000><c> The</c>

00:11:36.230 --> 00:11:36.240 align:start position:0%
anything. And it gets even crazier. The
 

00:11:36.240 --> 00:11:38.310 align:start position:0%
anything. And it gets even crazier. The
researchers<00:11:36.720><c> did</c><00:11:36.959><c> an</c><00:11:37.200><c> even</c><00:11:37.360><c> more</c><00:11:37.760><c> challenging</c>

00:11:38.310 --> 00:11:38.320 align:start position:0%
researchers did an even more challenging
 

00:11:38.320 --> 00:11:40.870 align:start position:0%
researchers did an even more challenging
test<00:11:38.640><c> called</c><00:11:38.959><c> the</c><00:11:39.120><c> ciliate</c><00:11:39.680><c> code</c><00:11:40.079><c> test.</c><00:11:40.640><c> You</c>

00:11:40.870 --> 00:11:40.880 align:start position:0%
test called the ciliate code test. You
 

00:11:40.880 --> 00:11:42.630 align:start position:0%
test called the ciliate code test. You
see,<00:11:41.120><c> for</c><00:11:41.360><c> most</c><00:11:41.680><c> life</c><00:11:41.920><c> on</c><00:11:42.079><c> Earth,</c><00:11:42.399><c> the</c>

00:11:42.630 --> 00:11:42.640 align:start position:0%
see, for most life on Earth, the
 

00:11:42.640 --> 00:11:45.269 align:start position:0%
see, for most life on Earth, the
sequence<00:11:43.120><c> TGA</c><00:11:43.760><c> is</c><00:11:44.000><c> a</c><00:11:44.160><c> stop</c><00:11:44.560><c> codon,</c><00:11:45.120><c> a</c>

00:11:45.269 --> 00:11:45.279 align:start position:0%
sequence TGA is a stop codon, a
 

00:11:45.279 --> 00:11:47.990 align:start position:0%
sequence TGA is a stop codon, a
universal<00:11:46.079><c> stop</c><00:11:46.399><c> sign</c><00:11:46.720><c> that</c><00:11:47.040><c> tells</c><00:11:47.519><c> the</c><00:11:47.760><c> cell</c>

00:11:47.990 --> 00:11:48.000 align:start position:0%
universal stop sign that tells the cell
 

00:11:48.000 --> 00:11:50.790 align:start position:0%
universal stop sign that tells the cell
to<00:11:48.240><c> stop</c><00:11:48.560><c> building</c><00:11:48.880><c> a</c><00:11:49.120><c> protein.</c><00:11:49.760><c> But</c><00:11:50.000><c> biology</c>

00:11:50.790 --> 00:11:50.800 align:start position:0%
to stop building a protein. But biology
 

00:11:50.800 --> 00:11:52.949 align:start position:0%
to stop building a protein. But biology
loves<00:11:51.279><c> exceptions.</c><00:11:52.079><c> And</c><00:11:52.320><c> there's</c><00:11:52.480><c> a</c><00:11:52.720><c> group</c><00:11:52.800><c> of</c>

00:11:52.949 --> 00:11:52.959 align:start position:0%
loves exceptions. And there's a group of
 

00:11:52.959 --> 00:11:55.509 align:start position:0%
loves exceptions. And there's a group of
organisms<00:11:53.519><c> called</c><00:11:53.920><c> ciliates</c><00:11:54.560><c> that</c><00:11:54.800><c> evolved</c><00:11:55.200><c> a</c>

00:11:55.509 --> 00:11:55.519 align:start position:0%
organisms called ciliates that evolved a
 

00:11:55.519 --> 00:11:57.509 align:start position:0%
organisms called ciliates that evolved a
slightly<00:11:55.920><c> different</c><00:11:56.240><c> genetic</c><00:11:56.720><c> pattern.</c><00:11:57.279><c> In</c>

00:11:57.509 --> 00:11:57.519 align:start position:0%
slightly different genetic pattern. In
 

00:11:57.519 --> 00:12:00.630 align:start position:0%
slightly different genetic pattern. In
their<00:11:57.760><c> DNA,</c><00:11:58.320><c> TGA</c><00:11:59.120><c> doesn't</c><00:11:59.519><c> mean</c><00:11:59.920><c> stop.</c><00:12:00.480><c> It</c>

00:12:00.630 --> 00:12:00.640 align:start position:0%
their DNA, TGA doesn't mean stop. It
 

00:12:00.640 --> 00:12:02.949 align:start position:0%
their DNA, TGA doesn't mean stop. It
actually<00:12:00.880><c> means</c><00:12:01.200><c> keep</c><00:12:01.519><c> going</c><00:12:02.079><c> just</c><00:12:02.320><c> for</c><00:12:02.480><c> them.</c>

00:12:02.949 --> 00:12:02.959 align:start position:0%
actually means keep going just for them.
 

00:12:02.959 --> 00:12:04.870 align:start position:0%
actually means keep going just for them.
previous<00:12:03.360><c> AI</c><00:12:03.760><c> models</c><00:12:04.079><c> that</c><00:12:04.320><c> were</c><00:12:04.480><c> trained</c><00:12:04.720><c> on</c>

00:12:04.870 --> 00:12:04.880 align:start position:0%
previous AI models that were trained on
 

00:12:04.880 --> 00:12:07.590 align:start position:0%
previous AI models that were trained on
DNA<00:12:05.519><c> would</c><00:12:05.839><c> completely</c><00:12:06.399><c> fail</c><00:12:06.720><c> this</c><00:12:06.959><c> test.</c><00:12:07.440><c> If</c>

00:12:07.590 --> 00:12:07.600 align:start position:0%
DNA would completely fail this test. If
 

00:12:07.600 --> 00:12:09.829 align:start position:0%
DNA would completely fail this test. If
they<00:12:07.760><c> were</c><00:12:07.920><c> given</c><00:12:08.399><c> ciliate</c><00:12:08.959><c> DNA</c><00:12:09.440><c> and</c><00:12:09.600><c> asked</c>

00:12:09.829 --> 00:12:09.839 align:start position:0%
they were given ciliate DNA and asked
 

00:12:09.839 --> 00:12:12.550 align:start position:0%
they were given ciliate DNA and asked
about<00:12:10.160><c> TGA,</c><00:12:10.880><c> the</c><00:12:11.040><c> AI</c><00:12:11.440><c> models</c><00:12:11.839><c> would</c><00:12:12.160><c> all</c><00:12:12.399><c> say</c>

00:12:12.550 --> 00:12:12.560 align:start position:0%
about TGA, the AI models would all say
 

00:12:12.560 --> 00:12:14.629 align:start position:0%
about TGA, the AI models would all say
that<00:12:12.880><c> this</c><00:12:13.040><c> is</c><00:12:13.200><c> a</c><00:12:13.360><c> stop</c><00:12:13.600><c> sign,</c><00:12:14.000><c> which</c><00:12:14.240><c> is</c><00:12:14.399><c> not</c>

00:12:14.629 --> 00:12:14.639 align:start position:0%
that this is a stop sign, which is not
 

00:12:14.639 --> 00:12:16.550 align:start position:0%
that this is a stop sign, which is not
correct.<00:12:15.279><c> But</c><00:12:15.440><c> the</c><00:12:15.680><c> remarkable</c><00:12:16.160><c> thing</c><00:12:16.320><c> about</c>

00:12:16.550 --> 00:12:16.560 align:start position:0%
correct. But the remarkable thing about
 

00:12:16.560 --> 00:12:18.949 align:start position:0%
correct. But the remarkable thing about
EVO<00:12:17.040><c> 2</c><00:12:17.279><c> is</c><00:12:17.519><c> that</c><00:12:17.760><c> because</c><00:12:18.000><c> it</c><00:12:18.240><c> has</c><00:12:18.399><c> a</c><00:12:18.639><c> million</c>

00:12:18.949 --> 00:12:18.959 align:start position:0%
EVO 2 is that because it has a million
 

00:12:18.959 --> 00:12:21.030 align:start position:0%
EVO 2 is that because it has a million
token<00:12:19.360><c> context</c><00:12:19.839><c> window</c><00:12:20.399><c> because</c><00:12:20.639><c> it</c><00:12:20.880><c> can</c>

00:12:21.030 --> 00:12:21.040 align:start position:0%
token context window because it can
 

00:12:21.040 --> 00:12:23.910 align:start position:0%
token context window because it can
understand<00:12:21.440><c> DNA</c><00:12:21.920><c> across</c><00:12:22.399><c> all</c><00:12:22.880><c> of</c><00:12:23.120><c> life,</c><00:12:23.680><c> it's</c>

00:12:23.910 --> 00:12:23.920 align:start position:0%
understand DNA across all of life, it's
 

00:12:23.920 --> 00:12:26.710 align:start position:0%
understand DNA across all of life, it's
able<00:12:24.160><c> to</c><00:12:24.399><c> inspect</c><00:12:24.880><c> this</c><00:12:25.279><c> entire</c><00:12:25.839><c> ciliate</c><00:12:26.320><c> DNA</c>

00:12:26.710 --> 00:12:26.720 align:start position:0%
able to inspect this entire ciliate DNA
 

00:12:26.720 --> 00:12:29.190 align:start position:0%
able to inspect this entire ciliate DNA
first.<00:12:27.279><c> And</c><00:12:27.600><c> given</c><00:12:27.920><c> its</c><00:12:28.240><c> context,</c><00:12:28.800><c> it's</c><00:12:29.040><c> able</c>

00:12:29.190 --> 00:12:29.200 align:start position:0%
first. And given its context, it's able
 

00:12:29.200 --> 00:12:31.910 align:start position:0%
first. And given its context, it's able
to<00:12:29.360><c> determine</c><00:12:29.760><c> that</c><00:12:30.079><c> TGA</c><00:12:30.880><c> inside</c><00:12:31.279><c> this</c><00:12:31.600><c> was</c>

00:12:31.910 --> 00:12:31.920 align:start position:0%
to determine that TGA inside this was
 

00:12:31.920 --> 00:12:33.910 align:start position:0%
to determine that TGA inside this was
not<00:12:32.160><c> a</c><00:12:32.399><c> stop</c><00:12:32.639><c> codon.</c><00:12:33.279><c> Note</c><00:12:33.519><c> that</c><00:12:33.680><c> the</c>

00:12:33.910 --> 00:12:33.920 align:start position:0%
not a stop codon. Note that the
 

00:12:33.920 --> 00:12:36.230 align:start position:0%
not a stop codon. Note that the
researchers<00:12:34.399><c> never</c><00:12:34.639><c> told</c><00:12:34.880><c> it</c><00:12:35.120><c> that</c><00:12:35.360><c> this</c><00:12:35.680><c> DNA</c>

00:12:36.230 --> 00:12:36.240 align:start position:0%
researchers never told it that this DNA
 

00:12:36.240 --> 00:12:39.110 align:start position:0%
researchers never told it that this DNA
belongs<00:12:36.639><c> to</c><00:12:37.120><c> this</c><00:12:37.519><c> organism</c><00:12:38.160><c> called</c><00:12:38.399><c> a</c><00:12:38.560><c> cyot.</c>

00:12:39.110 --> 00:12:39.120 align:start position:0%
belongs to this organism called a cyot.
 

00:12:39.120 --> 00:12:41.750 align:start position:0%
belongs to this organism called a cyot.
The<00:12:39.360><c> AI</c><00:12:39.920><c> also</c><00:12:40.480><c> never</c><00:12:40.880><c> learned</c><00:12:41.279><c> that</c><00:12:41.519><c> this</c>

00:12:41.750 --> 00:12:41.760 align:start position:0%
The AI also never learned that this
 

00:12:41.760 --> 00:12:43.829 align:start position:0%
The AI also never learned that this
belongs<00:12:42.079><c> to</c><00:12:42.240><c> a</c><00:12:42.399><c> ciliate</c><00:12:42.800><c> or</c><00:12:43.040><c> what</c><00:12:43.200><c> a</c><00:12:43.360><c> ciliate</c>

00:12:43.829 --> 00:12:43.839 align:start position:0%
belongs to a ciliate or what a ciliate
 

00:12:43.839 --> 00:12:46.629 align:start position:0%
belongs to a ciliate or what a ciliate
even<00:12:44.079><c> is.</c><00:12:44.720><c> Yet,</c><00:12:44.959><c> it</c><00:12:45.200><c> inferred</c><00:12:45.680><c> this</c><00:12:45.920><c> from</c><00:12:46.320><c> its</c>

00:12:46.629 --> 00:12:46.639 align:start position:0%
even is. Yet, it inferred this from its
 

00:12:46.639 --> 00:12:49.110 align:start position:0%
even is. Yet, it inferred this from its
understanding<00:12:47.279><c> of</c><00:12:47.519><c> the</c><00:12:47.760><c> grammar</c><00:12:48.160><c> of</c><00:12:48.399><c> DNA.</c>

00:12:49.110 --> 00:12:49.120 align:start position:0%
understanding of the grammar of DNA.
 

00:12:49.120 --> 00:12:51.509 align:start position:0%
understanding of the grammar of DNA.
Now,<00:12:49.440><c> so</c><00:12:49.680><c> far</c><00:12:50.079><c> we've</c><00:12:50.399><c> talked</c><00:12:50.639><c> about</c><00:12:50.880><c> tests</c><00:12:51.279><c> on</c>

00:12:51.509 --> 00:12:51.519 align:start position:0%
Now, so far we've talked about tests on
 

00:12:51.519 --> 00:12:54.069 align:start position:0%
Now, so far we've talked about tests on
bacteria<00:12:52.160><c> and</c><00:12:52.399><c> other</c><00:12:52.720><c> microorganisms.</c><00:12:53.920><c> But</c>

00:12:54.069 --> 00:12:54.079 align:start position:0%
bacteria and other microorganisms. But
 

00:12:54.079 --> 00:12:56.230 align:start position:0%
bacteria and other microorganisms. But
if<00:12:54.320><c> this</c><00:12:54.560><c> model</c><00:12:54.959><c> truly</c><00:12:55.440><c> understands</c><00:12:56.000><c> the</c>

00:12:56.230 --> 00:12:56.240 align:start position:0%
if this model truly understands the
 

00:12:56.240 --> 00:12:58.629 align:start position:0%
if this model truly understands the
language<00:12:56.639><c> of</c><00:12:56.880><c> life,</c><00:12:57.360><c> then</c><00:12:57.600><c> in</c><00:12:57.920><c> theory,</c><00:12:58.399><c> it</c>

00:12:58.629 --> 00:12:58.639 align:start position:0%
language of life, then in theory, it
 

00:12:58.639 --> 00:13:01.030 align:start position:0%
language of life, then in theory, it
should<00:12:58.880><c> also</c><00:12:59.200><c> work</c><00:12:59.440><c> with</c><00:12:59.760><c> human</c><00:13:00.079><c> DNA</c><00:13:00.560><c> as</c><00:13:00.800><c> well,</c>

00:13:01.030 --> 00:13:01.040 align:start position:0%
should also work with human DNA as well,
 

00:13:01.040 --> 00:13:02.949 align:start position:0%
should also work with human DNA as well,
right?<00:13:01.519><c> And</c><00:13:01.680><c> that's</c><00:13:02.000><c> exactly</c><00:13:02.480><c> what</c><00:13:02.800><c> the</c>

00:13:02.949 --> 00:13:02.959 align:start position:0%
right? And that's exactly what the
 

00:13:02.959 --> 00:13:05.110 align:start position:0%
right? And that's exactly what the
researchers<00:13:03.519><c> tested</c><00:13:04.000><c> next.</c><00:13:04.720><c> I've</c><00:13:04.959><c> been</c>

00:13:05.110 --> 00:13:05.120 align:start position:0%
researchers tested next. I've been
 

00:13:05.120 --> 00:13:06.870 align:start position:0%
researchers tested next. I've been
covering<00:13:05.440><c> the</c><00:13:05.680><c> best</c><00:13:06.000><c> image</c><00:13:06.320><c> and</c><00:13:06.560><c> video</c>

00:13:06.870 --> 00:13:06.880 align:start position:0%
covering the best image and video
 

00:13:06.880 --> 00:13:08.629 align:start position:0%
covering the best image and video
generators,<00:13:07.519><c> and</c><00:13:07.680><c> it</c><00:13:07.920><c> can</c><00:13:08.079><c> get</c><00:13:08.240><c> very</c>

00:13:08.629 --> 00:13:08.639 align:start position:0%
generators, and it can get very
 

00:13:08.639 --> 00:13:10.550 align:start position:0%
generators, and it can get very
overwhelming.<00:13:09.279><c> Fortunately,</c><00:13:09.839><c> Higsfield,</c>

00:13:10.550 --> 00:13:10.560 align:start position:0%
overwhelming. Fortunately, Higsfield,
 

00:13:10.560 --> 00:13:12.150 align:start position:0%
overwhelming. Fortunately, Higsfield,
the<00:13:10.720><c> sponsor</c><00:13:11.040><c> of</c><00:13:11.200><c> this</c><00:13:11.440><c> video,</c><00:13:11.839><c> brings</c>

00:13:12.150 --> 00:13:12.160 align:start position:0%
the sponsor of this video, brings
 

00:13:12.160 --> 00:13:14.629 align:start position:0%
the sponsor of this video, brings
everything<00:13:12.560><c> together</c><00:13:13.120><c> all</c><00:13:13.360><c> in</c><00:13:13.680><c> one</c><00:13:13.920><c> place.</c>

00:13:14.629 --> 00:13:14.639 align:start position:0%
everything together all in one place.
 

00:13:14.639 --> 00:13:17.269 align:start position:0%
everything together all in one place.
From<00:13:15.120><c> leading</c><00:13:15.519><c> image</c><00:13:16.000><c> and</c><00:13:16.320><c> video</c><00:13:16.720><c> generation</c>

00:13:17.269 --> 00:13:17.279 align:start position:0%
From leading image and video generation
 

00:13:17.279 --> 00:13:20.150 align:start position:0%
From leading image and video generation
models<00:13:17.760><c> to</c><00:13:18.079><c> AI</c><00:13:18.560><c> cinematic</c><00:13:19.120><c> workflows.</c><00:13:19.920><c> The</c>

00:13:20.150 --> 00:13:20.160 align:start position:0%
models to AI cinematic workflows. The
 

00:13:20.160 --> 00:13:22.550 align:start position:0%
models to AI cinematic workflows. The
idea<00:13:20.480><c> here</c><00:13:20.800><c> is</c><00:13:21.120><c> to</c><00:13:21.680><c> bring</c><00:13:22.000><c> more</c><00:13:22.240><c> of</c><00:13:22.399><c> a</c>

00:13:22.550 --> 00:13:22.560 align:start position:0%
idea here is to bring more of a
 

00:13:22.560 --> 00:13:24.629 align:start position:0%
idea here is to bring more of a
filmmaking<00:13:23.120><c> workflow</c><00:13:23.680><c> to</c><00:13:23.920><c> AI</c><00:13:24.320><c> video</c>

00:13:24.629 --> 00:13:24.639 align:start position:0%
filmmaking workflow to AI video
 

00:13:24.639 --> 00:13:26.550 align:start position:0%
filmmaking workflow to AI video
creation.<00:13:25.200><c> Instead</c><00:13:25.519><c> of</c><00:13:25.680><c> you</c><00:13:25.920><c> just</c><00:13:26.079><c> typing</c><00:13:26.399><c> a</c>

00:13:26.550 --> 00:13:26.560 align:start position:0%
creation. Instead of you just typing a
 

00:13:26.560 --> 00:13:28.389 align:start position:0%
creation. Instead of you just typing a
prompt<00:13:26.800><c> and</c><00:13:27.120><c> hoping</c><00:13:27.360><c> for</c><00:13:27.519><c> the</c><00:13:27.760><c> best,</c><00:13:28.160><c> you</c>

00:13:28.389 --> 00:13:28.399 align:start position:0%
prompt and hoping for the best, you
 

00:13:28.399 --> 00:13:30.389 align:start position:0%
prompt and hoping for the best, you
actually<00:13:28.800><c> follow</c><00:13:29.120><c> a</c><00:13:29.360><c> creative</c><00:13:29.760><c> pipeline.</c>

00:13:30.389 --> 00:13:30.399 align:start position:0%
actually follow a creative pipeline.
 

00:13:30.399 --> 00:13:32.550 align:start position:0%
actually follow a creative pipeline.
Cast<00:13:30.720><c> your</c><00:13:30.959><c> actor,</c><00:13:31.600><c> build</c><00:13:31.839><c> the</c><00:13:32.000><c> scene,</c><00:13:32.320><c> and</c>

00:13:32.550 --> 00:13:32.560 align:start position:0%
Cast your actor, build the scene, and
 

00:13:32.560 --> 00:13:34.710 align:start position:0%
Cast your actor, build the scene, and
direct<00:13:32.880><c> the</c><00:13:33.040><c> shot.</c><00:13:33.519><c> It</c><00:13:33.760><c> starts</c><00:13:34.000><c> with</c><00:13:34.399><c> sole</c>

00:13:34.710 --> 00:13:34.720 align:start position:0%
direct the shot. It starts with sole
 

00:13:34.720 --> 00:13:37.110 align:start position:0%
direct the shot. It starts with sole
cast,<00:13:35.120><c> which</c><00:13:35.360><c> is</c><00:13:35.519><c> Higsfield's</c><00:13:36.240><c> AI</c><00:13:36.639><c> actor</c>

00:13:37.110 --> 00:13:37.120 align:start position:0%
cast, which is Higsfield's AI actor
 

00:13:37.120 --> 00:13:39.030 align:start position:0%
cast, which is Higsfield's AI actor
creation<00:13:37.680><c> system.</c><00:13:38.160><c> Instead</c><00:13:38.480><c> of</c><00:13:38.560><c> prompting</c>

00:13:39.030 --> 00:13:39.040 align:start position:0%
creation system. Instead of prompting
 

00:13:39.040 --> 00:13:41.590 align:start position:0%
creation system. Instead of prompting
random<00:13:39.440><c> faces</c><00:13:39.839><c> every</c><00:13:40.160><c> time,</c><00:13:40.560><c> you</c><00:13:40.800><c> can</c><00:13:41.040><c> design</c>

00:13:41.590 --> 00:13:41.600 align:start position:0%
random faces every time, you can design
 

00:13:41.600 --> 00:13:43.750 align:start position:0%
random faces every time, you can design
fully<00:13:42.000><c> customizable</c><00:13:42.720><c> characters</c><00:13:43.120><c> that</c><00:13:43.440><c> stay</c>

00:13:43.750 --> 00:13:43.760 align:start position:0%
fully customizable characters that stay
 

00:13:43.760 --> 00:13:46.870 align:start position:0%
fully customizable characters that stay
visually<00:13:44.399><c> consistent</c><00:13:45.120><c> across</c><00:13:45.839><c> your</c><00:13:46.160><c> scenes.</c>

00:13:46.870 --> 00:13:46.880 align:start position:0%
visually consistent across your scenes.
 

00:13:46.880 --> 00:13:49.110 align:start position:0%
visually consistent across your scenes.
You<00:13:47.040><c> can</c><00:13:47.200><c> define</c><00:13:47.519><c> their</c><00:13:47.760><c> genre,</c><00:13:48.320><c> age,</c>

00:13:49.110 --> 00:13:49.120 align:start position:0%
You can define their genre, age,
 

00:13:49.120 --> 00:13:51.030 align:start position:0%
You can define their genre, age,
identity,<00:13:49.760><c> physical</c><00:13:50.160><c> features,</c><00:13:50.639><c> clothing</c>

00:13:51.030 --> 00:13:51.040 align:start position:0%
identity, physical features, clothing
 

00:13:51.040 --> 00:13:54.310 align:start position:0%
identity, physical features, clothing
style,<00:13:51.519><c> and</c><00:13:51.760><c> more.</c><00:13:52.320><c> Next</c><00:13:52.720><c> comes</c><00:13:53.279><c> Soul</c><00:13:53.760><c> Cinema,</c>

00:13:54.310 --> 00:13:54.320 align:start position:0%
style, and more. Next comes Soul Cinema,
 

00:13:54.320 --> 00:13:56.310 align:start position:0%
style, and more. Next comes Soul Cinema,
which<00:13:54.560><c> generates</c><00:13:55.040><c> cinematic</c><00:13:55.600><c> grade</c><00:13:55.920><c> images</c>

00:13:56.310 --> 00:13:56.320 align:start position:0%
which generates cinematic grade images
 

00:13:56.320 --> 00:13:58.629 align:start position:0%
which generates cinematic grade images
to<00:13:56.560><c> build</c><00:13:56.880><c> your</c><00:13:57.120><c> scenes.</c><00:13:57.680><c> The</c><00:13:57.920><c> model</c><00:13:58.160><c> focuses</c>

00:13:58.629 --> 00:13:58.639 align:start position:0%
to build your scenes. The model focuses
 

00:13:58.639 --> 00:14:00.629 align:start position:0%
to build your scenes. The model focuses
heavily<00:13:58.959><c> on</c><00:13:59.279><c> lighting,</c><00:13:59.760><c> composition,</c><00:14:00.399><c> and</c>

00:14:00.629 --> 00:14:00.639 align:start position:0%
heavily on lighting, composition, and
 

00:14:00.639 --> 00:14:03.509 align:start position:0%
heavily on lighting, composition, and
texture,<00:14:01.279><c> so</c><00:14:01.680><c> the</c><00:14:01.920><c> outputs</c><00:14:02.480><c> look</c><00:14:02.720><c> like</c><00:14:03.040><c> films</c>

00:14:03.509 --> 00:14:03.519 align:start position:0%
texture, so the outputs look like films
 

00:14:03.519 --> 00:14:05.910 align:start position:0%
texture, so the outputs look like films
instead<00:14:03.839><c> of</c><00:14:04.000><c> AI</c><00:14:04.399><c> slop.</c><00:14:04.959><c> Once</c><00:14:05.279><c> your</c><00:14:05.519><c> characters</c>

00:14:05.910 --> 00:14:05.920 align:start position:0%
instead of AI slop. Once your characters
 

00:14:05.920 --> 00:14:07.750 align:start position:0%
instead of AI slop. Once your characters
and<00:14:06.240><c> scenes</c><00:14:06.639><c> are</c><00:14:06.800><c> ready,</c><00:14:07.199><c> you</c><00:14:07.440><c> can</c><00:14:07.519><c> move</c>

00:14:07.750 --> 00:14:07.760 align:start position:0%
and scenes are ready, you can move
 

00:14:07.760 --> 00:14:10.710 align:start position:0%
and scenes are ready, you can move
everything<00:14:08.240><c> into</c><00:14:08.480><c> Sue</c><00:14:09.040><c> Cinema</c><00:14:09.600><c> Studio</c><00:14:10.160><c> 2,</c>

00:14:10.710 --> 00:14:10.720 align:start position:0%
everything into Sue Cinema Studio 2,
 

00:14:10.720 --> 00:14:12.550 align:start position:0%
everything into Sue Cinema Studio 2,
which<00:14:10.959><c> is</c><00:14:11.120><c> where</c><00:14:11.360><c> the</c><00:14:11.680><c> actual</c><00:14:12.160><c> video</c>

00:14:12.550 --> 00:14:12.560 align:start position:0%
which is where the actual video
 

00:14:12.560 --> 00:14:14.949 align:start position:0%
which is where the actual video
direction<00:14:13.199><c> happens.</c><00:14:13.920><c> This</c><00:14:14.160><c> works</c><00:14:14.480><c> like</c><00:14:14.720><c> a</c>

00:14:14.949 --> 00:14:14.959 align:start position:0%
direction happens. This works like a
 

00:14:14.959 --> 00:14:16.949 align:start position:0%
direction happens. This works like a
miniature<00:14:15.519><c> film</c><00:14:15.920><c> studio,</c><00:14:16.320><c> where</c><00:14:16.639><c> you</c><00:14:16.800><c> can</c>

00:14:16.949 --> 00:14:16.959 align:start position:0%
miniature film studio, where you can
 

00:14:16.959 --> 00:14:19.590 align:start position:0%
miniature film studio, where you can
create<00:14:17.279><c> multi-shot</c><00:14:18.079><c> sequences,</c><00:14:18.800><c> control</c><00:14:19.279><c> the</c>

00:14:19.590 --> 00:14:19.600 align:start position:0%
create multi-shot sequences, control the
 

00:14:19.600 --> 00:14:21.829 align:start position:0%
create multi-shot sequences, control the
speed<00:14:19.920><c> and</c><00:14:20.160><c> the</c><00:14:20.399><c> camera</c><00:14:20.720><c> motion,</c><00:14:21.279><c> or</c><00:14:21.519><c> you</c><00:14:21.760><c> can</c>

00:14:21.829 --> 00:14:21.839 align:start position:0%
speed and the camera motion, or you can
 

00:14:21.839 --> 00:14:23.990 align:start position:0%
speed and the camera motion, or you can
even<00:14:22.079><c> define</c><00:14:22.480><c> start</c><00:14:22.720><c> and</c><00:14:23.040><c> end</c><00:14:23.279><c> frames,</c><00:14:23.760><c> and</c>

00:14:23.990 --> 00:14:24.000 align:start position:0%
even define start and end frames, and
 

00:14:24.000 --> 00:14:25.750 align:start position:0%
even define start and end frames, and
the<00:14:24.160><c> system</c><00:14:24.480><c> generates</c><00:14:24.959><c> the</c><00:14:25.199><c> intermediate</c>

00:14:25.750 --> 00:14:25.760 align:start position:0%
the system generates the intermediate
 

00:14:25.760 --> 00:14:27.430 align:start position:0%
the system generates the intermediate
motion<00:14:26.160><c> automatically,</c><00:14:27.040><c> essentially</c>

00:14:27.430 --> 00:14:27.440 align:start position:0%
motion automatically, essentially
 

00:14:27.440 --> 00:14:29.189 align:start position:0%
motion automatically, essentially
filling<00:14:27.760><c> in</c><00:14:27.920><c> the</c><00:14:28.160><c> animation.</c><00:14:28.639><c> All</c><00:14:28.880><c> of</c><00:14:28.959><c> this</c>

00:14:29.189 --> 00:14:29.199 align:start position:0%
filling in the animation. All of this
 

00:14:29.199 --> 00:14:30.870 align:start position:0%
filling in the animation. All of this
makes<00:14:29.360><c> Higsfield</c><00:14:30.079><c> one</c><00:14:30.240><c> of</c><00:14:30.320><c> the</c><00:14:30.480><c> first</c>

00:14:30.870 --> 00:14:30.880 align:start position:0%
makes Higsfield one of the first
 

00:14:30.880 --> 00:14:33.350 align:start position:0%
makes Higsfield one of the first
platforms<00:14:31.440><c> to</c><00:14:31.680><c> truly</c><00:14:32.079><c> connect</c><00:14:32.560><c> characters,</c>

00:14:33.350 --> 00:14:33.360 align:start position:0%
platforms to truly connect characters,
 

00:14:33.360 --> 00:14:35.430 align:start position:0%
platforms to truly connect characters,
cinematic<00:14:33.920><c> image</c><00:14:34.240><c> generation,</c><00:14:34.800><c> and</c><00:14:35.120><c> video</c>

00:14:35.430 --> 00:14:35.440 align:start position:0%
cinematic image generation, and video
 

00:14:35.440 --> 00:14:37.590 align:start position:0%
cinematic image generation, and video
direction<00:14:36.000><c> in</c><00:14:36.240><c> one</c><00:14:36.560><c> seamless</c><00:14:37.040><c> workflow.</c>

00:14:37.590 --> 00:14:37.600 align:start position:0%
direction in one seamless workflow.
 

00:14:37.600 --> 00:14:39.590 align:start position:0%
direction in one seamless workflow.
Whether<00:14:38.000><c> you're</c><00:14:38.480><c> making</c><00:14:38.800><c> short</c><00:14:39.040><c> films,</c>

00:14:39.590 --> 00:14:39.600 align:start position:0%
Whether you're making short films,
 

00:14:39.600 --> 00:14:41.910 align:start position:0%
Whether you're making short films,
cinematic<00:14:40.160><c> ads,</c><00:14:40.639><c> music</c><00:14:41.040><c> videos,</c><00:14:41.440><c> or</c><00:14:41.680><c> any</c>

00:14:41.910 --> 00:14:41.920 align:start position:0%
cinematic ads, music videos, or any
 

00:14:41.920 --> 00:14:44.310 align:start position:0%
cinematic ads, music videos, or any
other<00:14:42.160><c> content,</c><00:14:42.720><c> the</c><00:14:43.040><c> entire</c><00:14:43.519><c> process</c><00:14:44.000><c> can</c>

00:14:44.310 --> 00:14:44.320 align:start position:0%
other content, the entire process can
 

00:14:44.320 --> 00:14:46.790 align:start position:0%
other content, the entire process can
happen<00:14:44.720><c> inside</c><00:14:45.440><c> one</c><00:14:45.760><c> tool.</c><00:14:46.320><c> If</c><00:14:46.560><c> you</c><00:14:46.639><c> want</c><00:14:46.720><c> to</c>

00:14:46.790 --> 00:14:46.800 align:start position:0%
happen inside one tool. If you want to
 

00:14:46.800 --> 00:14:48.710 align:start position:0%
happen inside one tool. If you want to
try<00:14:46.959><c> it</c><00:14:47.120><c> yourself,</c><00:14:47.600><c> check</c><00:14:47.760><c> out</c><00:14:47.920><c> Higsfield</c>

00:14:48.710 --> 00:14:48.720 align:start position:0%
try it yourself, check out Higsfield
 

00:14:48.720 --> 00:14:51.189 align:start position:0%
try it yourself, check out Higsfield
using<00:14:48.959><c> the</c><00:14:49.199><c> link</c><00:14:49.440><c> in</c><00:14:49.680><c> the</c><00:14:49.839><c> description</c><00:14:50.160><c> below.</c>

00:14:51.189 --> 00:14:51.199 align:start position:0%
using the link in the description below.
 

00:14:51.199 --> 00:14:53.030 align:start position:0%
using the link in the description below.
This<00:14:51.440><c> brings</c><00:14:51.680><c> us</c><00:14:51.839><c> to</c><00:14:52.000><c> the</c><00:14:52.240><c> third</c><00:14:52.639><c> major</c>

00:14:53.030 --> 00:14:53.040 align:start position:0%
This brings us to the third major
 

00:14:53.040 --> 00:14:55.110 align:start position:0%
This brings us to the third major
section<00:14:53.360><c> of</c><00:14:53.600><c> the</c><00:14:53.760><c> paper</c><00:14:54.160><c> called</c><00:14:54.639><c> human</c>

00:14:55.110 --> 00:14:55.120 align:start position:0%
section of the paper called human
 

00:14:55.120 --> 00:14:57.350 align:start position:0%
section of the paper called human
variant<00:14:55.839><c> effect</c><00:14:56.320><c> prediction.</c><00:14:56.959><c> And</c><00:14:57.199><c> this</c>

00:14:57.350 --> 00:14:57.360 align:start position:0%
variant effect prediction. And this
 

00:14:57.360 --> 00:14:59.350 align:start position:0%
variant effect prediction. And this
could<00:14:57.600><c> directly</c><00:14:58.079><c> affect</c><00:14:58.720><c> real</c><00:14:59.040><c> human</c>

00:14:59.350 --> 00:14:59.360 align:start position:0%
could directly affect real human
 

00:14:59.360 --> 00:15:01.189 align:start position:0%
could directly affect real human
patients.<00:15:00.000><c> Here's</c><00:15:00.240><c> what</c><00:15:00.399><c> they</c><00:15:00.560><c> did.</c><00:15:00.959><c> The</c>

00:15:01.189 --> 00:15:01.199 align:start position:0%
patients. Here's what they did. The
 

00:15:01.199 --> 00:15:03.350 align:start position:0%
patients. Here's what they did. The
researchers<00:15:01.600><c> took</c><00:15:01.920><c> a</c><00:15:02.160><c> huge</c><00:15:02.480><c> genetics</c><00:15:03.040><c> data</c>

00:15:03.350 --> 00:15:03.360 align:start position:0%
researchers took a huge genetics data
 

00:15:03.360 --> 00:15:06.230 align:start position:0%
researchers took a huge genetics data
set<00:15:03.680><c> called</c><00:15:04.240><c> Clinfair,</c><00:15:05.360><c> which</c><00:15:05.680><c> is</c><00:15:05.839><c> basically</c>

00:15:06.230 --> 00:15:06.240 align:start position:0%
set called Clinfair, which is basically
 

00:15:06.240 --> 00:15:09.110 align:start position:0%
set called Clinfair, which is basically
a<00:15:06.560><c> database</c><00:15:07.120><c> where</c><00:15:07.600><c> doctors</c><00:15:08.160><c> record</c><00:15:08.639><c> human</c>

00:15:09.110 --> 00:15:09.120 align:start position:0%
a database where doctors record human
 

00:15:09.120 --> 00:15:11.829 align:start position:0%
a database where doctors record human
DNA<00:15:09.680><c> variations</c><00:15:10.320><c> and</c><00:15:10.720><c> classify</c><00:15:11.199><c> them.</c><00:15:11.760><c> For</c>

00:15:11.829 --> 00:15:11.839 align:start position:0%
DNA variations and classify them. For
 

00:15:11.839 --> 00:15:14.389 align:start position:0%
DNA variations and classify them. For
example,<00:15:12.560><c> some</c><00:15:12.880><c> DNA</c><00:15:13.279><c> variants</c><00:15:13.680><c> are</c><00:15:13.920><c> labeled</c>

00:15:14.389 --> 00:15:14.399 align:start position:0%
example, some DNA variants are labeled
 

00:15:14.399 --> 00:15:16.470 align:start position:0%
example, some DNA variants are labeled
pathogenic,<00:15:15.279><c> meaning</c><00:15:15.519><c> they</c><00:15:15.760><c> cause</c><00:15:16.000><c> disease,</c>

00:15:16.470 --> 00:15:16.480 align:start position:0%
pathogenic, meaning they cause disease,
 

00:15:16.480 --> 00:15:18.550 align:start position:0%
pathogenic, meaning they cause disease,
and<00:15:16.720><c> others</c><00:15:17.040><c> are</c><00:15:17.279><c> labeled</c><00:15:17.760><c> benign,</c><00:15:18.320><c> meaning</c>

00:15:18.550 --> 00:15:18.560 align:start position:0%
and others are labeled benign, meaning
 

00:15:18.560 --> 00:15:20.629 align:start position:0%
and others are labeled benign, meaning
they<00:15:18.800><c> have</c><00:15:19.040><c> no</c><00:15:19.279><c> measurable</c><00:15:19.920><c> impact</c><00:15:20.320><c> on</c>

00:15:20.629 --> 00:15:20.639 align:start position:0%
they have no measurable impact on
 

00:15:20.639 --> 00:15:22.310 align:start position:0%
they have no measurable impact on
health.<00:15:21.120><c> Now,</c><00:15:21.519><c> the</c><00:15:21.760><c> researchers</c>

00:15:22.310 --> 00:15:22.320 align:start position:0%
health. Now, the researchers
 

00:15:22.320 --> 00:15:25.110 align:start position:0%
health. Now, the researchers
specifically<00:15:22.880><c> targeted</c><00:15:23.360><c> the</c><00:15:23.519><c> genes</c><00:15:24.160><c> BRCA</c>

00:15:25.110 --> 00:15:25.120 align:start position:0%
specifically targeted the genes BRCA
 

00:15:25.120 --> 00:15:27.269 align:start position:0%
specifically targeted the genes BRCA
from<00:15:25.360><c> this</c><00:15:25.600><c> data</c><00:15:25.920><c> set.</c><00:15:26.240><c> And</c><00:15:26.399><c> these</c><00:15:26.639><c> are</c><00:15:26.880><c> very</c>

00:15:27.269 --> 00:15:27.279 align:start position:0%
from this data set. And these are very
 

00:15:27.279 --> 00:15:28.870 align:start position:0%
from this data set. And these are very
important<00:15:27.760><c> genes,</c><00:15:28.160><c> which</c><00:15:28.399><c> you</c><00:15:28.639><c> might</c><00:15:28.800><c> have</c>

00:15:28.870 --> 00:15:28.880 align:start position:0%
important genes, which you might have
 

00:15:28.880 --> 00:15:30.550 align:start position:0%
important genes, which you might have
heard<00:15:29.120><c> of</c><00:15:29.279><c> before</c><00:15:29.760><c> because</c><00:15:30.160><c> certain</c>

00:15:30.550 --> 00:15:30.560 align:start position:0%
heard of before because certain
 

00:15:30.560 --> 00:15:33.110 align:start position:0%
heard of before because certain
mutations<00:15:31.360><c> within</c><00:15:31.920><c> these</c><00:15:32.320><c> genes</c><00:15:32.800><c> can</c>

00:15:33.110 --> 00:15:33.120 align:start position:0%
mutations within these genes can
 

00:15:33.120 --> 00:15:35.269 align:start position:0%
mutations within these genes can
drastically<00:15:33.920><c> increase</c><00:15:34.160><c> a</c><00:15:34.399><c> person's</c><00:15:34.800><c> risk</c><00:15:35.040><c> of</c>

00:15:35.269 --> 00:15:35.279 align:start position:0%
drastically increase a person's risk of
 

00:15:35.279 --> 00:15:37.509 align:start position:0%
drastically increase a person's risk of
breast<00:15:35.680><c> and</c><00:15:35.920><c> ovarian</c><00:15:36.480><c> cancer.</c><00:15:37.199><c> Imagine</c>

00:15:37.509 --> 00:15:37.519 align:start position:0%
breast and ovarian cancer. Imagine
 

00:15:37.519 --> 00:15:39.590 align:start position:0%
breast and ovarian cancer. Imagine
you're<00:15:37.680><c> a</c><00:15:37.839><c> doctor</c><00:15:38.160><c> and</c><00:15:38.480><c> you</c><00:15:38.720><c> have</c><00:15:38.959><c> the</c><00:15:39.199><c> DNA</c>

00:15:39.590 --> 00:15:39.600 align:start position:0%
you're a doctor and you have the DNA
 

00:15:39.600 --> 00:15:41.269 align:start position:0%
you're a doctor and you have the DNA
report<00:15:40.000><c> of</c><00:15:40.240><c> your</c><00:15:40.399><c> patient</c><00:15:40.880><c> and</c><00:15:41.120><c> you're</c>

00:15:41.269 --> 00:15:41.279 align:start position:0%
report of your patient and you're
 

00:15:41.279 --> 00:15:43.910 align:start position:0%
report of your patient and you're
looking<00:15:41.519><c> through</c><00:15:41.839><c> the</c><00:15:42.160><c> BRCA</c><00:15:43.040><c> genes</c><00:15:43.360><c> to</c><00:15:43.519><c> see</c><00:15:43.680><c> if</c>

00:15:43.910 --> 00:15:43.920 align:start position:0%
looking through the BRCA genes to see if
 

00:15:43.920 --> 00:15:46.310 align:start position:0%
looking through the BRCA genes to see if
there<00:15:44.160><c> are</c><00:15:44.320><c> any</c><00:15:44.720><c> mutations.</c><00:15:45.440><c> A</c><00:15:45.760><c> small</c><00:15:46.000><c> subtle</c>

00:15:46.310 --> 00:15:46.320 align:start position:0%
there are any mutations. A small subtle
 

00:15:46.320 --> 00:15:48.550 align:start position:0%
there are any mutations. A small subtle
change<00:15:46.720><c> could</c><00:15:47.040><c> be</c><00:15:47.279><c> completely</c><00:15:47.680><c> harmless</c><00:15:48.240><c> or</c>

00:15:48.550 --> 00:15:48.560 align:start position:0%
change could be completely harmless or
 

00:15:48.560 --> 00:15:51.110 align:start position:0%
change could be completely harmless or
it<00:15:48.800><c> could</c><00:15:49.040><c> mean</c><00:15:49.360><c> cancer</c><00:15:50.000><c> which</c><00:15:50.240><c> is</c><00:15:50.480><c> obviously</c>

00:15:51.110 --> 00:15:51.120 align:start position:0%
it could mean cancer which is obviously
 

00:15:51.120 --> 00:15:52.629 align:start position:0%
it could mean cancer which is obviously
life-threatening.<00:15:51.920><c> But</c><00:15:52.079><c> it's</c><00:15:52.240><c> really</c><00:15:52.480><c> hard</c>

00:15:52.629 --> 00:15:52.639 align:start position:0%
life-threatening. But it's really hard
 

00:15:52.639 --> 00:15:55.189 align:start position:0%
life-threatening. But it's really hard
for<00:15:52.880><c> a</c><00:15:53.040><c> human</c><00:15:53.600><c> to</c><00:15:53.839><c> actually</c><00:15:54.399><c> figure</c><00:15:54.639><c> out</c><00:15:54.880><c> which</c>

00:15:55.189 --> 00:15:55.199 align:start position:0%
for a human to actually figure out which
 

00:15:55.199 --> 00:15:57.670 align:start position:0%
for a human to actually figure out which
mutations<00:15:55.920><c> are</c><00:15:56.240><c> okay,</c><00:15:56.720><c> which</c><00:15:56.959><c> mutations</c><00:15:57.519><c> are</c>

00:15:57.670 --> 00:15:57.680 align:start position:0%
mutations are okay, which mutations are
 

00:15:57.680 --> 00:15:59.910 align:start position:0%
mutations are okay, which mutations are
not.<00:15:58.160><c> You</c><00:15:58.320><c> see,</c><00:15:58.639><c> every</c><00:15:58.880><c> human</c><00:15:59.199><c> has</c><00:15:59.519><c> thousands</c>

00:15:59.910 --> 00:15:59.920 align:start position:0%
not. You see, every human has thousands
 

00:15:59.920 --> 00:16:02.150 align:start position:0%
not. You see, every human has thousands
of<00:16:00.160><c> genetic</c><00:16:00.639><c> variations.</c><00:16:01.440><c> And</c><00:16:01.600><c> in</c><00:16:01.759><c> a</c><00:16:01.920><c> sense,</c>

00:16:02.150 --> 00:16:02.160 align:start position:0%
of genetic variations. And in a sense,
 

00:16:02.160 --> 00:16:04.230 align:start position:0%
of genetic variations. And in a sense,
we<00:16:02.399><c> all</c><00:16:02.639><c> have</c><00:16:02.880><c> different</c><00:16:03.199><c> mutations.</c><00:16:04.000><c> The</c>

00:16:04.230 --> 00:16:04.240 align:start position:0%
we all have different mutations. The
 

00:16:04.240 --> 00:16:06.150 align:start position:0%
we all have different mutations. The
overwhelming<00:16:04.880><c> majority</c><00:16:05.279><c> of</c><00:16:05.440><c> the</c><00:16:05.680><c> time,</c><00:16:05.920><c> these</c>

00:16:06.150 --> 00:16:06.160 align:start position:0%
overwhelming majority of the time, these
 

00:16:06.160 --> 00:16:08.389 align:start position:0%
overwhelming majority of the time, these
mutations<00:16:06.800><c> don't</c><00:16:07.120><c> actually</c><00:16:07.600><c> cause</c><00:16:07.920><c> anything.</c>

00:16:08.389 --> 00:16:08.399 align:start position:0%
mutations don't actually cause anything.
 

00:16:08.399 --> 00:16:10.870 align:start position:0%
mutations don't actually cause anything.
But<00:16:08.560><c> the</c><00:16:08.720><c> trick</c><00:16:08.880><c> is</c><00:16:09.120><c> to</c><00:16:09.440><c> identify</c><00:16:10.240><c> exactly</c>

00:16:10.870 --> 00:16:10.880 align:start position:0%
But the trick is to identify exactly
 

00:16:10.880 --> 00:16:13.110 align:start position:0%
But the trick is to identify exactly
which<00:16:11.199><c> mutations</c><00:16:12.079><c> actually</c><00:16:12.639><c> increase</c><00:16:12.880><c> the</c>

00:16:13.110 --> 00:16:13.120 align:start position:0%
which mutations actually increase the
 

00:16:13.120 --> 00:16:15.110 align:start position:0%
which mutations actually increase the
risk<00:16:13.360><c> of</c><00:16:13.600><c> cancer,</c><00:16:14.079><c> which</c><00:16:14.320><c> is</c><00:16:14.480><c> a</c><00:16:14.639><c> lot</c><00:16:14.800><c> harder</c>

00:16:15.110 --> 00:16:15.120 align:start position:0%
risk of cancer, which is a lot harder
 

00:16:15.120 --> 00:16:17.269 align:start position:0%
risk of cancer, which is a lot harder
said<00:16:15.360><c> than</c><00:16:15.600><c> done.</c><00:16:16.160><c> So</c><00:16:16.320><c> the</c><00:16:16.480><c> researchers</c><00:16:16.959><c> gave</c>

00:16:17.269 --> 00:16:17.279 align:start position:0%
said than done. So the researchers gave
 

00:16:17.279 --> 00:16:19.829 align:start position:0%
said than done. So the researchers gave
EVO<00:16:17.759><c> 2</c><00:16:18.160><c> this</c><00:16:18.480><c> data</c><00:16:18.880><c> and</c><00:16:19.120><c> they</c><00:16:19.279><c> asked</c><00:16:19.519><c> it</c><00:16:19.680><c> to</c>

00:16:19.829 --> 00:16:19.839 align:start position:0%
EVO 2 this data and they asked it to
 

00:16:19.839 --> 00:16:22.310 align:start position:0%
EVO 2 this data and they asked it to
classify<00:16:20.399><c> which</c><00:16:20.639><c> ones</c><00:16:20.959><c> are</c><00:16:21.199><c> okay,</c><00:16:21.839><c> which</c><00:16:22.000><c> ones</c>

00:16:22.310 --> 00:16:22.320 align:start position:0%
classify which ones are okay, which ones
 

00:16:22.320 --> 00:16:24.230 align:start position:0%
classify which ones are okay, which ones
are<00:16:22.560><c> damaging.</c><00:16:23.120><c> Again,</c><00:16:23.440><c> note</c><00:16:23.600><c> that</c><00:16:23.759><c> the</c><00:16:23.920><c> model</c>

00:16:24.230 --> 00:16:24.240 align:start position:0%
are damaging. Again, note that the model
 

00:16:24.240 --> 00:16:26.550 align:start position:0%
are damaging. Again, note that the model
has<00:16:24.560><c> never</c><00:16:24.880><c> been</c><00:16:25.040><c> trained</c><00:16:25.440><c> on</c><00:16:25.759><c> human</c><00:16:26.160><c> medical</c>

00:16:26.550 --> 00:16:26.560 align:start position:0%
has never been trained on human medical
 

00:16:26.560 --> 00:16:29.269 align:start position:0%
has never been trained on human medical
records.<00:16:27.199><c> It</c><00:16:27.440><c> was</c><00:16:27.600><c> never</c><00:16:28.079><c> given</c><00:16:28.480><c> any</c><00:16:28.800><c> answers</c>

00:16:29.269 --> 00:16:29.279 align:start position:0%
records. It was never given any answers
 

00:16:29.279 --> 00:16:31.749 align:start position:0%
records. It was never given any answers
on<00:16:29.680><c> which</c><00:16:30.000><c> genes</c><00:16:30.320><c> cause</c><00:16:30.639><c> cancer</c><00:16:31.040><c> and</c><00:16:31.360><c> which</c>

00:16:31.749 --> 00:16:31.759 align:start position:0%
on which genes cause cancer and which
 

00:16:31.759 --> 00:16:33.430 align:start position:0%
on which genes cause cancer and which
don't.<00:16:32.240><c> It</c><00:16:32.399><c> doesn't</c><00:16:32.560><c> even</c><00:16:32.720><c> know</c><00:16:32.880><c> what</c><00:16:33.040><c> cancer</c>

00:16:33.430 --> 00:16:33.440 align:start position:0%
don't. It doesn't even know what cancer
 

00:16:33.440 --> 00:16:36.310 align:start position:0%
don't. It doesn't even know what cancer
is.<00:16:34.079><c> Yet,</c><00:16:34.320><c> the</c><00:16:34.560><c> results</c><00:16:35.040><c> were</c><00:16:35.440><c> shocking.</c><00:16:36.079><c> The</c>

00:16:36.310 --> 00:16:36.320 align:start position:0%
is. Yet, the results were shocking. The
 

00:16:36.320 --> 00:16:39.030 align:start position:0%
is. Yet, the results were shocking. The
model<00:16:36.560><c> was</c><00:16:36.880><c> able</c><00:16:37.120><c> to</c><00:16:37.360><c> directly</c><00:16:38.079><c> identify</c><00:16:38.720><c> the</c>

00:16:39.030 --> 00:16:39.040 align:start position:0%
model was able to directly identify the
 

00:16:39.040 --> 00:16:41.350 align:start position:0%
model was able to directly identify the
mutations<00:16:39.600><c> that</c><00:16:40.000><c> don't</c><00:16:40.240><c> do</c><00:16:40.480><c> anything</c><00:16:40.880><c> and</c><00:16:41.120><c> the</c>

00:16:41.350 --> 00:16:41.360 align:start position:0%
mutations that don't do anything and the
 

00:16:41.360 --> 00:16:43.590 align:start position:0%
mutations that don't do anything and the
mutations<00:16:41.920><c> that</c><00:16:42.320><c> cause</c><00:16:42.639><c> cancer.</c><00:16:43.279><c> So,</c><00:16:43.440><c> it</c>

00:16:43.590 --> 00:16:43.600 align:start position:0%
mutations that cause cancer. So, it
 

00:16:43.600 --> 00:16:45.829 align:start position:0%
mutations that cause cancer. So, it
turns<00:16:43.759><c> out</c><00:16:43.920><c> EVO</c><00:16:44.480><c> 2</c><00:16:44.639><c> is</c><00:16:44.800><c> also</c><00:16:45.120><c> a</c><00:16:45.360><c> really</c><00:16:45.600><c> good</c>

00:16:45.829 --> 00:16:45.839 align:start position:0%
turns out EVO 2 is also a really good
 

00:16:45.839 --> 00:16:48.069 align:start position:0%
turns out EVO 2 is also a really good
detector<00:16:46.320><c> of</c><00:16:46.560><c> cancer</c><00:16:47.199><c> just</c><00:16:47.440><c> from</c><00:16:47.680><c> looking</c><00:16:47.920><c> at</c>

00:16:48.069 --> 00:16:48.079 align:start position:0%
detector of cancer just from looking at
 

00:16:48.079 --> 00:16:50.470 align:start position:0%
detector of cancer just from looking at
someone's<00:16:48.560><c> DNA.</c><00:16:49.199><c> Now,</c><00:16:49.440><c> up</c><00:16:49.680><c> to</c><00:16:49.920><c> this</c><00:16:50.160><c> point,</c>

00:16:50.470 --> 00:16:50.480 align:start position:0%
someone's DNA. Now, up to this point,
 

00:16:50.480 --> 00:16:52.389 align:start position:0%
someone's DNA. Now, up to this point,
it's<00:16:50.720><c> all</c><00:16:50.959><c> analytical.</c><00:16:51.759><c> It's</c><00:16:51.920><c> able</c><00:16:52.160><c> to</c>

00:16:52.389 --> 00:16:52.399 align:start position:0%
it's all analytical. It's able to
 

00:16:52.399 --> 00:16:54.949 align:start position:0%
it's all analytical. It's able to
analyze<00:16:52.880><c> and</c><00:16:53.199><c> interpret</c><00:16:53.680><c> DNA.</c><00:16:54.399><c> But</c><00:16:54.560><c> can</c><00:16:54.800><c> it</c>

00:16:54.949 --> 00:16:54.959 align:start position:0%
analyze and interpret DNA. But can it
 

00:16:54.959 --> 00:16:56.790 align:start position:0%
analyze and interpret DNA. But can it
generate<00:16:55.440><c> new</c><00:16:55.680><c> functional</c><00:16:56.160><c> DNA</c><00:16:56.560><c> from</c>

00:16:56.790 --> 00:16:56.800 align:start position:0%
generate new functional DNA from
 

00:16:56.800 --> 00:16:59.030 align:start position:0%
generate new functional DNA from
scratch?<00:16:57.279><c> Not</c><00:16:57.440><c> just</c><00:16:57.600><c> a</c><00:16:57.839><c> single</c><00:16:58.160><c> protein</c><00:16:58.560><c> or</c><00:16:58.800><c> a</c>

00:16:59.030 --> 00:16:59.040 align:start position:0%
scratch? Not just a single protein or a
 

00:16:59.040 --> 00:17:02.069 align:start position:0%
scratch? Not just a single protein or a
tiny<00:16:59.279><c> gene,</c><00:16:59.680><c> but</c><00:16:59.920><c> the</c><00:17:00.240><c> entire</c><00:17:00.959><c> continuous</c><00:17:01.600><c> DNA</c>

00:17:02.069 --> 00:17:02.079 align:start position:0%
tiny gene, but the entire continuous DNA
 

00:17:02.079 --> 00:17:04.069 align:start position:0%
tiny gene, but the entire continuous DNA
of<00:17:02.240><c> a</c><00:17:02.480><c> living</c><00:17:02.720><c> thing?</c><00:17:03.360><c> Well,</c><00:17:03.600><c> they</c><00:17:03.839><c> started</c>

00:17:04.069 --> 00:17:04.079 align:start position:0%
of a living thing? Well, they started
 

00:17:04.079 --> 00:17:06.230 align:start position:0%
of a living thing? Well, they started
with<00:17:04.400><c> human</c><00:17:04.799><c> mitochondria.</c><00:17:05.679><c> If</c><00:17:05.919><c> you're</c><00:17:06.000><c> not</c>

00:17:06.230 --> 00:17:06.240 align:start position:0%
with human mitochondria. If you're not
 

00:17:06.240 --> 00:17:08.309 align:start position:0%
with human mitochondria. If you're not
familiar,<00:17:06.640><c> mitochondria</c><00:17:07.520><c> is</c><00:17:07.760><c> the</c><00:17:07.919><c> part</c><00:17:08.160><c> of</c>

00:17:08.309 --> 00:17:08.319 align:start position:0%
familiar, mitochondria is the part of
 

00:17:08.319 --> 00:17:10.470 align:start position:0%
familiar, mitochondria is the part of
your<00:17:08.640><c> cell</c><00:17:08.880><c> that</c><00:17:09.199><c> generates</c><00:17:09.679><c> energy.</c><00:17:10.319><c> Think</c>

00:17:10.470 --> 00:17:10.480 align:start position:0%
your cell that generates energy. Think
 

00:17:10.480 --> 00:17:12.470 align:start position:0%
your cell that generates energy. Think
of<00:17:10.640><c> it</c><00:17:10.799><c> as</c><00:17:10.959><c> like</c><00:17:11.199><c> the</c><00:17:11.439><c> powerhouse</c><00:17:12.000><c> of</c><00:17:12.240><c> your</c>

00:17:12.470 --> 00:17:12.480 align:start position:0%
of it as like the powerhouse of your
 

00:17:12.480 --> 00:17:13.669 align:start position:0%
of it as like the powerhouse of your
cell.<00:17:12.799><c> Now,</c><00:17:12.959><c> it</c><00:17:13.120><c> turns</c><00:17:13.280><c> out</c><00:17:13.439><c> that</c>

00:17:13.669 --> 00:17:13.679 align:start position:0%
cell. Now, it turns out that
 

00:17:13.679 --> 00:17:15.829 align:start position:0%
cell. Now, it turns out that
mitochondria<00:17:14.480><c> have</c><00:17:14.640><c> their</c><00:17:14.880><c> own</c><00:17:15.120><c> DNA</c><00:17:15.600><c> that's</c>

00:17:15.829 --> 00:17:15.839 align:start position:0%
mitochondria have their own DNA that's
 

00:17:15.839 --> 00:17:17.829 align:start position:0%
mitochondria have their own DNA that's
separate<00:17:16.160><c> from</c><00:17:16.480><c> our</c><00:17:16.720><c> cell's</c><00:17:17.039><c> DNA.</c><00:17:17.600><c> And</c>

00:17:17.829 --> 00:17:17.839 align:start position:0%
separate from our cell's DNA. And
 

00:17:17.839 --> 00:17:20.470 align:start position:0%
separate from our cell's DNA. And
mitochondria<00:17:18.559><c> DNA</c><00:17:18.959><c> is</c><00:17:19.360><c> way</c><00:17:19.679><c> smaller.</c><00:17:20.160><c> It's</c>

00:17:20.470 --> 00:17:20.480 align:start position:0%
mitochondria DNA is way smaller. It's
 

00:17:20.480 --> 00:17:23.590 align:start position:0%
mitochondria DNA is way smaller. It's
only<00:17:20.799><c> roughly</c><00:17:21.520><c> 16,000</c><00:17:22.480><c> letters.</c><00:17:23.120><c> So,</c><00:17:23.360><c> it's</c>

00:17:23.590 --> 00:17:23.600 align:start position:0%
only roughly 16,000 letters. So, it's
 

00:17:23.600 --> 00:17:25.750 align:start position:0%
only roughly 16,000 letters. So, it's
tiny<00:17:23.919><c> and</c><00:17:24.240><c> manageable,</c><00:17:24.720><c> but</c><00:17:25.039><c> still</c><00:17:25.360><c> quite</c>

00:17:25.750 --> 00:17:25.760 align:start position:0%
tiny and manageable, but still quite
 

00:17:25.760 --> 00:17:27.909 align:start position:0%
tiny and manageable, but still quite
complex.<00:17:26.480><c> Now,</c><00:17:26.720><c> what</c><00:17:26.959><c> the</c><00:17:27.120><c> researchers</c><00:17:27.679><c> did</c>

00:17:27.909 --> 00:17:27.919 align:start position:0%
complex. Now, what the researchers did
 

00:17:27.919 --> 00:17:30.470 align:start position:0%
complex. Now, what the researchers did
was<00:17:28.240><c> it</c><00:17:28.559><c> just</c><00:17:28.720><c> gave</c><00:17:28.960><c> EVO</c><00:17:29.440><c> 2</c><00:17:29.840><c> just</c><00:17:30.080><c> the</c><00:17:30.320><c> first</c>

00:17:30.470 --> 00:17:30.480 align:start position:0%
was it just gave EVO 2 just the first
 

00:17:30.480 --> 00:17:32.549 align:start position:0%
was it just gave EVO 2 just the first
few<00:17:30.720><c> letters</c><00:17:30.960><c> of</c><00:17:31.120><c> a</c><00:17:31.280><c> human</c><00:17:31.679><c> mitochondria</c>

00:17:32.549 --> 00:17:32.559 align:start position:0%
few letters of a human mitochondria
 

00:17:32.559 --> 00:17:34.150 align:start position:0%
few letters of a human mitochondria
genome<00:17:33.039><c> and</c><00:17:33.280><c> then</c><00:17:33.440><c> they</c><00:17:33.600><c> asked</c><00:17:33.760><c> it</c><00:17:34.000><c> to</c>

00:17:34.150 --> 00:17:34.160 align:start position:0%
genome and then they asked it to
 

00:17:34.160 --> 00:17:36.310 align:start position:0%
genome and then they asked it to
basically<00:17:34.799><c> finish</c><00:17:35.120><c> this</c><00:17:35.360><c> blueprint.</c><00:17:36.080><c> It's</c>

00:17:36.310 --> 00:17:36.320 align:start position:0%
basically finish this blueprint. It's
 

00:17:36.320 --> 00:17:38.390 align:start position:0%
basically finish this blueprint. It's
like<00:17:36.559><c> giving</c><00:17:37.039><c> an</c><00:17:37.200><c> AI</c><00:17:37.520><c> chatbot</c><00:17:38.000><c> the</c><00:17:38.240><c> first</c>

00:17:38.390 --> 00:17:38.400 align:start position:0%
like giving an AI chatbot the first
 

00:17:38.400 --> 00:17:40.230 align:start position:0%
like giving an AI chatbot the first
sentence<00:17:38.720><c> of</c><00:17:38.960><c> an</c><00:17:39.200><c> essay</c><00:17:39.440><c> and</c><00:17:39.600><c> then</c><00:17:39.760><c> telling</c><00:17:40.000><c> it</c>

00:17:40.230 --> 00:17:40.240 align:start position:0%
sentence of an essay and then telling it
 

00:17:40.240 --> 00:17:42.870 align:start position:0%
sentence of an essay and then telling it
to<00:17:40.480><c> finish</c><00:17:40.640><c> the</c><00:17:40.960><c> essay.</c><00:17:41.600><c> And</c><00:17:41.919><c> lo</c><00:17:42.160><c> and</c><00:17:42.320><c> behold,</c>

00:17:42.870 --> 00:17:42.880 align:start position:0%
to finish the essay. And lo and behold,
 

00:17:42.880 --> 00:17:45.909 align:start position:0%
to finish the essay. And lo and behold,
EVO<00:17:43.360><c> 2</c><00:17:43.679><c> was</c><00:17:43.919><c> able</c><00:17:44.240><c> to</c><00:17:44.559><c> successfully</c><00:17:45.280><c> generate</c>

00:17:45.909 --> 00:17:45.919 align:start position:0%
EVO 2 was able to successfully generate
 

00:17:45.919 --> 00:17:48.150 align:start position:0%
EVO 2 was able to successfully generate
a<00:17:46.240><c> completely</c><00:17:46.799><c> new</c><00:17:47.039><c> mitochondria</c><00:17:47.840><c> sequence</c>

00:17:48.150 --> 00:17:48.160 align:start position:0%
a completely new mitochondria sequence
 

00:17:48.160 --> 00:17:51.510 align:start position:0%
a completely new mitochondria sequence
of<00:17:48.400><c> roughly</c><00:17:49.200><c> 16,000</c><00:17:50.000><c> letters</c><00:17:50.480><c> from</c><00:17:50.799><c> scratch.</c>

00:17:51.510 --> 00:17:51.520 align:start position:0%
of roughly 16,000 letters from scratch.
 

00:17:51.520 --> 00:17:53.909 align:start position:0%
of roughly 16,000 letters from scratch.
Now,<00:17:51.840><c> generating</c><00:17:52.320><c> this</c><00:17:52.480><c> DNA</c><00:17:52.880><c> is</c><00:17:53.120><c> one</c><00:17:53.360><c> thing.</c>

00:17:53.909 --> 00:17:53.919 align:start position:0%
Now, generating this DNA is one thing.
 

00:17:53.919 --> 00:17:56.230 align:start position:0%
Now, generating this DNA is one thing.
How<00:17:54.080><c> do</c><00:17:54.160><c> we</c><00:17:54.320><c> know</c><00:17:54.480><c> if</c><00:17:54.799><c> this</c><00:17:55.039><c> DNA</c><00:17:55.520><c> is</c><00:17:55.760><c> actually</c>

00:17:56.230 --> 00:17:56.240 align:start position:0%
How do we know if this DNA is actually
 

00:17:56.240 --> 00:17:58.390 align:start position:0%
How do we know if this DNA is actually
legit?<00:17:57.120><c> How</c><00:17:57.360><c> do</c><00:17:57.440><c> we</c><00:17:57.600><c> know</c><00:17:57.840><c> if</c><00:17:58.080><c> it's</c>

00:17:58.390 --> 00:17:58.400 align:start position:0%
legit? How do we know if it's
 

00:17:58.400 --> 00:18:01.190 align:start position:0%
legit? How do we know if it's
biologically<00:17:59.440><c> viable?</c><00:18:00.080><c> So,</c><00:18:00.320><c> the</c><00:18:00.559><c> researchers</c>

00:18:01.190 --> 00:18:01.200 align:start position:0%
biologically viable? So, the researchers
 

00:18:01.200 --> 00:18:04.310 align:start position:0%
biologically viable? So, the researchers
used<00:18:01.600><c> some</c><00:18:02.080><c> external</c><00:18:02.640><c> validation</c><00:18:03.280><c> tools</c><00:18:04.000><c> to</c>

00:18:04.310 --> 00:18:04.320 align:start position:0%
used some external validation tools to
 

00:18:04.320 --> 00:18:06.710 align:start position:0%
used some external validation tools to
assess<00:18:04.960><c> this</c><00:18:05.360><c> generation.</c><00:18:06.080><c> They</c><00:18:06.320><c> started</c>

00:18:06.710 --> 00:18:06.720 align:start position:0%
assess this generation. They started
 

00:18:06.720 --> 00:18:09.669 align:start position:0%
assess this generation. They started
with<00:18:06.960><c> a</c><00:18:07.200><c> tool</c><00:18:07.520><c> called</c><00:18:08.000><c> Maidoz,</c><00:18:09.200><c> which</c><00:18:09.440><c> is</c><00:18:09.520><c> a</c>

00:18:09.669 --> 00:18:09.679 align:start position:0%
with a tool called Maidoz, which is a
 

00:18:09.679 --> 00:18:12.150 align:start position:0%
with a tool called Maidoz, which is a
wellestablished<00:18:10.720><c> software</c><00:18:11.200><c> for</c><00:18:11.520><c> analyzing</c>

00:18:12.150 --> 00:18:12.160 align:start position:0%
wellestablished software for analyzing
 

00:18:12.160 --> 00:18:14.470 align:start position:0%
wellestablished software for analyzing
this<00:18:12.400><c> mitochondria</c><00:18:13.200><c> DNA.</c><00:18:13.760><c> And</c><00:18:13.919><c> the</c><00:18:14.080><c> results</c>

00:18:14.470 --> 00:18:14.480 align:start position:0%
this mitochondria DNA. And the results
 

00:18:14.480 --> 00:18:17.270 align:start position:0%
this mitochondria DNA. And the results
were<00:18:14.799><c> astonishing.</c><00:18:15.600><c> Mitoz</c><00:18:16.400><c> confirmed</c><00:18:16.880><c> that</c>

00:18:17.270 --> 00:18:17.280 align:start position:0%
were astonishing. Mitoz confirmed that
 

00:18:17.280 --> 00:18:19.750 align:start position:0%
were astonishing. Mitoz confirmed that
EVO<00:18:17.760><c> 2's</c><00:18:18.320><c> madeup</c><00:18:18.799><c> generation</c><00:18:19.440><c> of</c>

00:18:19.750 --> 00:18:19.760 align:start position:0%
EVO 2's madeup generation of
 

00:18:19.760 --> 00:18:22.310 align:start position:0%
EVO 2's madeup generation of
mitochondria<00:18:20.640><c> DNA</c><00:18:21.360><c> actually</c><00:18:21.679><c> contained</c><00:18:22.080><c> the</c>

00:18:22.310 --> 00:18:22.320 align:start position:0%
mitochondria DNA actually contained the
 

00:18:22.320 --> 00:18:24.549 align:start position:0%
mitochondria DNA actually contained the
correct<00:18:22.640><c> number</c><00:18:22.880><c> of</c><00:18:23.200><c> protein</c><00:18:23.760><c> coding</c><00:18:24.080><c> genes</c>

00:18:24.549 --> 00:18:24.559 align:start position:0%
correct number of protein coding genes
 

00:18:24.559 --> 00:18:28.310 align:start position:0%
correct number of protein coding genes
as<00:18:24.720><c> well</c><00:18:24.880><c> as</c><00:18:25.120><c> tRNA</c><00:18:25.840><c> genes</c><00:18:26.160><c> and</c><00:18:26.559><c> rRNA</c><00:18:27.280><c> genes</c><00:18:28.000><c> as</c>

00:18:28.310 --> 00:18:28.320 align:start position:0%
as well as tRNA genes and rRNA genes as
 

00:18:28.320 --> 00:18:31.270 align:start position:0%
as well as tRNA genes and rRNA genes as
expected<00:18:28.880><c> in</c><00:18:29.440><c> real</c><00:18:29.919><c> human</c><00:18:30.240><c> mitochondria.</c><00:18:31.039><c> Now</c>

00:18:31.270 --> 00:18:31.280 align:start position:0%
expected in real human mitochondria. Now
 

00:18:31.280 --> 00:18:33.430 align:start position:0%
expected in real human mitochondria. Now
what<00:18:31.520><c> exactly</c><00:18:31.919><c> do</c><00:18:32.160><c> all</c><00:18:32.320><c> of</c><00:18:32.400><c> these</c><00:18:32.640><c> terms</c><00:18:32.960><c> mean?</c>

00:18:33.430 --> 00:18:33.440 align:start position:0%
what exactly do all of these terms mean?
 

00:18:33.440 --> 00:18:36.150 align:start position:0%
what exactly do all of these terms mean?
Let's<00:18:33.679><c> break</c><00:18:33.919><c> this</c><00:18:34.160><c> down.</c><00:18:34.559><c> So</c><00:18:34.880><c> DNA</c><00:18:35.360><c> is,</c><00:18:35.760><c> as</c><00:18:36.000><c> you</c>

00:18:36.150 --> 00:18:36.160 align:start position:0%
Let's break this down. So DNA is, as you
 

00:18:36.160 --> 00:18:38.870 align:start position:0%
Let's break this down. So DNA is, as you
know,<00:18:36.320><c> the</c><00:18:36.559><c> master</c><00:18:37.120><c> blueprint</c><00:18:37.760><c> of</c><00:18:38.000><c> life.</c><00:18:38.640><c> It</c>

00:18:38.870 --> 00:18:38.880 align:start position:0%
know, the master blueprint of life. It
 

00:18:38.880 --> 00:18:40.950 align:start position:0%
know, the master blueprint of life. It
contains<00:18:39.360><c> instructions</c><00:18:39.919><c> that</c><00:18:40.240><c> tell</c><00:18:40.400><c> a</c><00:18:40.640><c> cell</c>

00:18:40.950 --> 00:18:40.960 align:start position:0%
contains instructions that tell a cell
 

00:18:40.960 --> 00:18:43.430 align:start position:0%
contains instructions that tell a cell
how<00:18:41.200><c> to</c><00:18:41.440><c> build</c><00:18:41.679><c> and</c><00:18:41.919><c> operate</c><00:18:42.320><c> itself.</c><00:18:43.039><c> Now</c>

00:18:43.430 --> 00:18:43.440 align:start position:0%
how to build and operate itself. Now
 

00:18:43.440 --> 00:18:45.350 align:start position:0%
how to build and operate itself. Now
part<00:18:43.600><c> of</c><00:18:43.760><c> these</c><00:18:44.000><c> instructions</c><00:18:44.640><c> include</c><00:18:45.120><c> how</c>

00:18:45.350 --> 00:18:45.360 align:start position:0%
part of these instructions include how
 

00:18:45.360 --> 00:18:47.350 align:start position:0%
part of these instructions include how
to<00:18:45.520><c> build</c><00:18:45.919><c> proteins</c><00:18:46.480><c> which</c><00:18:46.720><c> are</c><00:18:46.880><c> like</c><00:18:47.039><c> the</c>

00:18:47.350 --> 00:18:47.360 align:start position:0%
to build proteins which are like the
 

00:18:47.360 --> 00:18:49.430 align:start position:0%
to build proteins which are like the
machines<00:18:47.919><c> and</c><00:18:48.160><c> tools</c><00:18:48.559><c> that</c><00:18:48.720><c> are</c><00:18:48.880><c> used</c><00:18:49.039><c> for</c><00:18:49.280><c> a</c>

00:18:49.430 --> 00:18:49.440 align:start position:0%
machines and tools that are used for a
 

00:18:49.440 --> 00:18:51.510 align:start position:0%
machines and tools that are used for a
cell<00:18:49.679><c> to</c><00:18:49.919><c> function.</c><00:18:50.320><c> Now</c><00:18:50.480><c> in</c><00:18:50.720><c> order</c><00:18:50.880><c> to</c><00:18:51.120><c> create</c>

00:18:51.510 --> 00:18:51.520 align:start position:0%
cell to function. Now in order to create
 

00:18:51.520 --> 00:18:54.710 align:start position:0%
cell to function. Now in order to create
these<00:18:52.080><c> proteins</c><00:18:52.720><c> DNA</c><00:18:53.280><c> also</c><00:18:53.600><c> needs</c><00:18:53.840><c> to</c><00:18:54.160><c> code</c><00:18:54.400><c> up</c>

00:18:54.710 --> 00:18:54.720 align:start position:0%
these proteins DNA also needs to code up
 

00:18:54.720 --> 00:18:58.230 align:start position:0%
these proteins DNA also needs to code up
stuff<00:18:55.039><c> called</c><00:18:55.520><c> ribosomal</c><00:18:56.400><c> RNAs</c><00:18:57.039><c> or</c><00:18:57.360><c> rRNAs</c>

00:18:58.230 --> 00:18:58.240 align:start position:0%
stuff called ribosomal RNAs or rRNAs
 

00:18:58.240 --> 00:18:59.990 align:start position:0%
stuff called ribosomal RNAs or rRNAs
which<00:18:58.480><c> are</c><00:18:58.640><c> like</c><00:18:58.799><c> the</c><00:18:59.039><c> factory</c><00:18:59.440><c> workers.</c>

00:18:59.990 --> 00:19:00.000 align:start position:0%
which are like the factory workers.
 

00:19:00.000 --> 00:19:01.590 align:start position:0%
which are like the factory workers.
These<00:19:00.320><c> are</c><00:19:00.480><c> in</c><00:19:00.720><c> charge</c><00:19:00.880><c> of</c><00:19:01.120><c> actually</c>

00:19:01.590 --> 00:19:01.600 align:start position:0%
These are in charge of actually
 

00:19:01.600 --> 00:19:03.909 align:start position:0%
These are in charge of actually
assembling<00:19:02.240><c> the</c><00:19:02.559><c> proteins.</c><00:19:03.360><c> And</c><00:19:03.520><c> then</c><00:19:03.679><c> there</c>

00:19:03.909 --> 00:19:03.919 align:start position:0%
assembling the proteins. And then there
 

00:19:03.919 --> 00:19:06.630 align:start position:0%
assembling the proteins. And then there
are<00:19:04.320><c> transfer</c><00:19:04.960><c> RNAs</c><00:19:05.679><c> which</c><00:19:05.919><c> you</c><00:19:06.160><c> can</c><00:19:06.240><c> think</c><00:19:06.400><c> of</c>

00:19:06.630 --> 00:19:06.640 align:start position:0%
are transfer RNAs which you can think of
 

00:19:06.640 --> 00:19:09.029 align:start position:0%
are transfer RNAs which you can think of
as<00:19:06.880><c> like</c><00:19:07.360><c> delivery</c><00:19:07.840><c> trucks</c><00:19:08.240><c> that</c><00:19:08.559><c> bring</c><00:19:08.799><c> the</c>

00:19:09.029 --> 00:19:09.039 align:start position:0%
as like delivery trucks that bring the
 

00:19:09.039 --> 00:19:11.190 align:start position:0%
as like delivery trucks that bring the
right<00:19:09.200><c> raw</c><00:19:09.520><c> materials</c><00:19:10.160><c> to</c><00:19:10.480><c> the</c><00:19:10.720><c> assembly</c>

00:19:11.190 --> 00:19:11.200 align:start position:0%
right raw materials to the assembly
 

00:19:11.200 --> 00:19:14.470 align:start position:0%
right raw materials to the assembly
line.<00:19:11.760><c> Each</c><00:19:12.160><c> tRNA</c><00:19:12.960><c> carries</c><00:19:13.360><c> a</c><00:19:13.600><c> specific</c><00:19:14.080><c> amino</c>

00:19:14.470 --> 00:19:14.480 align:start position:0%
line. Each tRNA carries a specific amino
 

00:19:14.480 --> 00:19:16.789 align:start position:0%
line. Each tRNA carries a specific amino
acid<00:19:14.799><c> and</c><00:19:15.120><c> places</c><00:19:15.440><c> it</c><00:19:15.679><c> precisely</c><00:19:16.320><c> where</c><00:19:16.640><c> it</c>

00:19:16.789 --> 00:19:16.799 align:start position:0%
acid and places it precisely where it
 

00:19:16.799 --> 00:19:18.310 align:start position:0%
acid and places it precisely where it
needs<00:19:17.039><c> to</c><00:19:17.200><c> go</c><00:19:17.520><c> according</c><00:19:17.919><c> to</c><00:19:18.080><c> the</c>

00:19:18.310 --> 00:19:18.320 align:start position:0%
needs to go according to the
 

00:19:18.320 --> 00:19:20.470 align:start position:0%
needs to go according to the
instructions.<00:19:19.120><c> So</c><00:19:19.280><c> DNA</c><00:19:19.760><c> basically</c><00:19:20.160><c> needs</c><00:19:20.320><c> to</c>

00:19:20.470 --> 00:19:20.480 align:start position:0%
instructions. So DNA basically needs to
 

00:19:20.480 --> 00:19:23.350 align:start position:0%
instructions. So DNA basically needs to
code<00:19:20.720><c> up</c><00:19:21.120><c> everything</c><00:19:21.760><c> for</c><00:19:22.320><c> this</c><00:19:22.640><c> factory</c><00:19:23.039><c> to</c>

00:19:23.350 --> 00:19:23.360 align:start position:0%
code up everything for this factory to
 

00:19:23.360 --> 00:19:25.029 align:start position:0%
code up everything for this factory to
work.<00:19:23.600><c> It</c><00:19:23.840><c> needs</c><00:19:24.000><c> to</c><00:19:24.080><c> code</c><00:19:24.240><c> up</c><00:19:24.480><c> what</c><00:19:24.799><c> to</c>

00:19:25.029 --> 00:19:25.039 align:start position:0%
work. It needs to code up what to
 

00:19:25.039 --> 00:19:26.950 align:start position:0%
work. It needs to code up what to
create.<00:19:25.440><c> It</c><00:19:25.600><c> needs</c><00:19:25.760><c> to</c><00:19:25.919><c> code</c><00:19:26.080><c> up</c><00:19:26.240><c> the</c><00:19:26.480><c> delivery</c>

00:19:26.950 --> 00:19:26.960 align:start position:0%
create. It needs to code up the delivery
 

00:19:26.960 --> 00:19:28.870 align:start position:0%
create. It needs to code up the delivery
system.<00:19:27.440><c> Plus,</c><00:19:27.760><c> it</c><00:19:27.919><c> needs</c><00:19:28.080><c> to</c><00:19:28.160><c> code</c><00:19:28.400><c> up</c><00:19:28.640><c> the</c>

00:19:28.870 --> 00:19:28.880 align:start position:0%
system. Plus, it needs to code up the
 

00:19:28.880 --> 00:19:31.510 align:start position:0%
system. Plus, it needs to code up the
factory<00:19:29.440><c> workers.</c><00:19:30.160><c> And</c><00:19:30.400><c> all</c><00:19:30.720><c> three</c><00:19:31.039><c> of</c><00:19:31.200><c> these</c>

00:19:31.510 --> 00:19:31.520 align:start position:0%
factory workers. And all three of these
 

00:19:31.520 --> 00:19:34.390 align:start position:0%
factory workers. And all three of these
things<00:19:32.000><c> are</c><00:19:32.559><c> crucial</c><00:19:33.039><c> for</c><00:19:33.360><c> an</c><00:19:33.600><c> organism</c><00:19:34.080><c> to</c>

00:19:34.390 --> 00:19:34.400 align:start position:0%
things are crucial for an organism to
 

00:19:34.400 --> 00:19:36.310 align:start position:0%
things are crucial for an organism to
function<00:19:34.720><c> and</c><00:19:35.039><c> stay</c><00:19:35.280><c> alive.</c><00:19:35.840><c> Now,</c><00:19:36.080><c> what's</c>

00:19:36.310 --> 00:19:36.320 align:start position:0%
function and stay alive. Now, what's
 

00:19:36.320 --> 00:19:38.950 align:start position:0%
function and stay alive. Now, what's
remarkable<00:19:36.799><c> about</c><00:19:37.120><c> EVO</c><00:19:37.600><c> 2's</c><00:19:38.000><c> generation</c><00:19:38.720><c> of</c>

00:19:38.950 --> 00:19:38.960 align:start position:0%
remarkable about EVO 2's generation of
 

00:19:38.960 --> 00:19:41.510 align:start position:0%
remarkable about EVO 2's generation of
this<00:19:39.280><c> imaginary</c><00:19:39.919><c> mitochondria</c><00:19:40.799><c> is</c><00:19:40.960><c> that</c><00:19:41.200><c> it</c>

00:19:41.510 --> 00:19:41.520 align:start position:0%
this imaginary mitochondria is that it
 

00:19:41.520 --> 00:19:43.590 align:start position:0%
this imaginary mitochondria is that it
includes<00:19:42.080><c> all</c><00:19:42.320><c> of</c><00:19:42.480><c> these</c><00:19:42.799><c> features.</c><00:19:43.440><c> It</c>

00:19:43.590 --> 00:19:43.600 align:start position:0%
includes all of these features. It
 

00:19:43.600 --> 00:19:46.150 align:start position:0%
includes all of these features. It
includes<00:19:44.080><c> code</c><00:19:44.559><c> on</c><00:19:44.880><c> what</c><00:19:45.200><c> proteins</c><00:19:45.679><c> to</c><00:19:45.840><c> build</c>

00:19:46.150 --> 00:19:46.160 align:start position:0%
includes code on what proteins to build
 

00:19:46.160 --> 00:19:48.150 align:start position:0%
includes code on what proteins to build
and<00:19:46.400><c> also</c><00:19:46.640><c> the</c><00:19:46.880><c> workers</c><00:19:47.280><c> in</c><00:19:47.520><c> order</c><00:19:47.679><c> to</c><00:19:48.000><c> build</c>

00:19:48.150 --> 00:19:48.160 align:start position:0%
and also the workers in order to build
 

00:19:48.160 --> 00:19:50.310 align:start position:0%
and also the workers in order to build
these<00:19:48.480><c> proteins</c><00:19:49.039><c> as</c><00:19:49.280><c> well</c><00:19:49.360><c> as</c><00:19:49.520><c> the</c><00:19:49.840><c> delivery</c>

00:19:50.310 --> 00:19:50.320 align:start position:0%
these proteins as well as the delivery
 

00:19:50.320 --> 00:19:53.590 align:start position:0%
these proteins as well as the delivery
system.<00:19:50.799><c> EVO</c><00:19:51.360><c> 2</c><00:19:51.600><c> was</c><00:19:51.840><c> able</c><00:19:52.160><c> to</c><00:19:52.880><c> generate</c><00:19:53.280><c> a</c>

00:19:53.590 --> 00:19:53.600 align:start position:0%
system. EVO 2 was able to generate a
 

00:19:53.600 --> 00:19:56.710 align:start position:0%
system. EVO 2 was able to generate a
fully<00:19:54.000><c> working</c><00:19:54.640><c> DNA</c><00:19:55.200><c> for</c><00:19:55.440><c> mitochondria.</c><00:19:56.559><c> But</c>

00:19:56.710 --> 00:19:56.720 align:start position:0%
fully working DNA for mitochondria. But
 

00:19:56.720 --> 00:19:58.549 align:start position:0%
fully working DNA for mitochondria. But
the<00:19:56.880><c> researchers</c><00:19:57.360><c> didn't</c><00:19:57.679><c> stop</c><00:19:57.919><c> there.</c><00:19:58.320><c> To</c>

00:19:58.549 --> 00:19:58.559 align:start position:0%
the researchers didn't stop there. To
 

00:19:58.559 --> 00:20:00.390 align:start position:0%
the researchers didn't stop there. To
make<00:19:58.640><c> sure</c><00:19:58.799><c> these</c><00:19:59.120><c> proteins</c><00:19:59.679><c> and</c><00:20:00.000><c> everything</c>

00:20:00.390 --> 00:20:00.400 align:start position:0%
make sure these proteins and everything
 

00:20:00.400 --> 00:20:03.110 align:start position:0%
make sure these proteins and everything
else<00:20:00.799><c> actually</c><00:20:01.280><c> work,</c><00:20:01.760><c> they</c><00:20:02.000><c> next</c><00:20:02.240><c> fed</c><00:20:02.799><c> this</c>

00:20:03.110 --> 00:20:03.120 align:start position:0%
else actually work, they next fed this
 

00:20:03.120 --> 00:20:06.230 align:start position:0%
else actually work, they next fed this
generation<00:20:03.840><c> through</c><00:20:04.160><c> AlphaFold</c><00:20:05.120><c> 3.</c><00:20:05.840><c> This</c><00:20:06.080><c> is</c>

00:20:06.230 --> 00:20:06.240 align:start position:0%
generation through AlphaFold 3. This is
 

00:20:06.240 --> 00:20:08.470 align:start position:0%
generation through AlphaFold 3. This is
the<00:20:06.480><c> legendary</c><00:20:07.039><c> AI</c><00:20:07.440><c> from</c><00:20:07.679><c> Google</c><00:20:08.000><c> DeepMind</c>

00:20:08.470 --> 00:20:08.480 align:start position:0%
the legendary AI from Google DeepMind
 

00:20:08.480 --> 00:20:10.950 align:start position:0%
the legendary AI from Google DeepMind
that<00:20:08.720><c> predicts</c><00:20:09.039><c> how</c><00:20:09.280><c> proteins</c><00:20:09.760><c> fold</c><00:20:10.160><c> into</c><00:20:10.480><c> 3D</c>

00:20:10.950 --> 00:20:10.960 align:start position:0%
that predicts how proteins fold into 3D
 

00:20:10.960 --> 00:20:12.310 align:start position:0%
that predicts how proteins fold into 3D
shapes.<00:20:11.360><c> By</c><00:20:11.520><c> the</c><00:20:11.600><c> way,</c><00:20:11.760><c> let</c><00:20:11.919><c> me</c><00:20:12.000><c> know</c><00:20:12.080><c> in</c><00:20:12.240><c> the</c>

00:20:12.310 --> 00:20:12.320 align:start position:0%
shapes. By the way, let me know in the
 

00:20:12.320 --> 00:20:14.230 align:start position:0%
shapes. By the way, let me know in the
comments<00:20:12.559><c> below</c><00:20:12.799><c> if</c><00:20:13.039><c> you</c><00:20:13.120><c> want</c><00:20:13.280><c> me</c><00:20:13.440><c> to</c><00:20:13.679><c> make</c><00:20:13.919><c> an</c>

00:20:14.230 --> 00:20:14.240 align:start position:0%
comments below if you want me to make an
 

00:20:14.240 --> 00:20:16.630 align:start position:0%
comments below if you want me to make an
explainer<00:20:14.880><c> video</c><00:20:15.200><c> on</c><00:20:15.440><c> Alphafold.</c><00:20:16.160><c> I</c><00:20:16.320><c> might</c><00:20:16.480><c> do</c>

00:20:16.630 --> 00:20:16.640 align:start position:0%
explainer video on Alphafold. I might do
 

00:20:16.640 --> 00:20:17.909 align:start position:0%
explainer video on Alphafold. I might do
one<00:20:16.799><c> if</c><00:20:16.880><c> there</c><00:20:17.039><c> is</c><00:20:17.200><c> enough</c><00:20:17.440><c> interest.</c>

00:20:17.909 --> 00:20:17.919 align:start position:0%
one if there is enough interest.
 

00:20:17.919 --> 00:20:20.710 align:start position:0%
one if there is enough interest.
Anyways,<00:20:18.400><c> in</c><00:20:18.559><c> short,</c><00:20:18.960><c> Alphafold</c><00:20:19.760><c> 3</c><00:20:20.240><c> also</c>

00:20:20.710 --> 00:20:20.720 align:start position:0%
Anyways, in short, Alphafold 3 also
 

00:20:20.720 --> 00:20:23.190 align:start position:0%
Anyways, in short, Alphafold 3 also
confirmed<00:20:21.440><c> that</c><00:20:21.760><c> Evo</c><00:20:22.240><c> 2's</c><00:20:22.559><c> generated</c>

00:20:23.190 --> 00:20:23.200 align:start position:0%
confirmed that Evo 2's generated
 

00:20:23.200 --> 00:20:25.430 align:start position:0%
confirmed that Evo 2's generated
proteins<00:20:23.840><c> actually</c><00:20:24.240><c> folded</c><00:20:24.720><c> correctly.</c><00:20:25.280><c> And</c>

00:20:25.430 --> 00:20:25.440 align:start position:0%
proteins actually folded correctly. And
 

00:20:25.440 --> 00:20:28.230 align:start position:0%
proteins actually folded correctly. And
what's<00:20:25.760><c> even</c><00:20:26.000><c> more</c><00:20:26.400><c> important</c><00:20:26.960><c> is</c><00:20:27.200><c> that</c><00:20:27.600><c> these</c>

00:20:28.230 --> 00:20:28.240 align:start position:0%
what's even more important is that these
 

00:20:28.240 --> 00:20:30.630 align:start position:0%
what's even more important is that these
different<00:20:28.880><c> generated</c><00:20:29.440><c> proteins</c><00:20:30.080><c> physically</c>

00:20:30.630 --> 00:20:30.640 align:start position:0%
different generated proteins physically
 

00:20:30.640 --> 00:20:32.950 align:start position:0%
different generated proteins physically
interlocked<00:20:31.520><c> with</c><00:20:31.840><c> each</c><00:20:32.080><c> other</c><00:20:32.320><c> like</c><00:20:32.640><c> pieces</c>

00:20:32.950 --> 00:20:32.960 align:start position:0%
interlocked with each other like pieces
 

00:20:32.960 --> 00:20:35.590 align:start position:0%
interlocked with each other like pieces
of<00:20:33.120><c> a</c><00:20:33.280><c> puzzle</c><00:20:33.840><c> exactly</c><00:20:34.559><c> as</c><00:20:34.880><c> they</c><00:20:35.120><c> need</c><00:20:35.280><c> to</c><00:20:35.440><c> do</c>

00:20:35.590 --> 00:20:35.600 align:start position:0%
of a puzzle exactly as they need to do
 

00:20:35.600 --> 00:20:37.909 align:start position:0%
of a puzzle exactly as they need to do
in<00:20:35.919><c> real</c><00:20:36.240><c> human</c><00:20:36.640><c> cells</c><00:20:36.960><c> in</c><00:20:37.280><c> order</c><00:20:37.360><c> to</c><00:20:37.600><c> produce</c>

00:20:37.909 --> 00:20:37.919 align:start position:0%
in real human cells in order to produce
 

00:20:37.919 --> 00:20:40.870 align:start position:0%
in real human cells in order to produce
energy.<00:20:38.559><c> So</c><00:20:38.720><c> this</c><00:20:38.960><c> confirms</c><00:20:39.360><c> that</c><00:20:39.760><c> this</c><00:20:40.159><c> DNA</c>

00:20:40.870 --> 00:20:40.880 align:start position:0%
energy. So this confirms that this DNA
 

00:20:40.880 --> 00:20:43.669 align:start position:0%
energy. So this confirms that this DNA
which<00:20:41.200><c> was</c><00:20:41.520><c> just</c><00:20:41.919><c> generated</c><00:20:42.480><c> from</c><00:20:42.799><c> EVO</c><00:20:43.280><c> 2</c>

00:20:43.669 --> 00:20:43.679 align:start position:0%
which was just generated from EVO 2
 

00:20:43.679 --> 00:20:45.909 align:start position:0%
which was just generated from EVO 2
actually<00:20:44.080><c> works</c><00:20:44.720><c> just</c><00:20:44.960><c> like</c><00:20:45.200><c> in</c><00:20:45.520><c> real</c>

00:20:45.909 --> 00:20:45.919 align:start position:0%
actually works just like in real
 

00:20:45.919 --> 00:20:47.990 align:start position:0%
actually works just like in real
mitochondria.<00:20:46.880><c> Okay,</c><00:20:47.120><c> so</c><00:20:47.280><c> we've</c><00:20:47.600><c> proven</c><00:20:47.840><c> that</c>

00:20:47.990 --> 00:20:48.000 align:start position:0%
mitochondria. Okay, so we've proven that
 

00:20:48.000 --> 00:20:50.470 align:start position:0%
mitochondria. Okay, so we've proven that
EVO2<00:20:48.720><c> can</c><00:20:48.880><c> generate</c><00:20:49.200><c> the</c><00:20:49.360><c> DNA</c><00:20:49.760><c> of</c><00:20:50.159><c> this</c>

00:20:50.470 --> 00:20:50.480 align:start position:0%
EVO2 can generate the DNA of this
 

00:20:50.480 --> 00:20:52.710 align:start position:0%
EVO2 can generate the DNA of this
organel.<00:20:51.280><c> What</c><00:20:51.440><c> if</c><00:20:51.600><c> we</c><00:20:51.760><c> step</c><00:20:51.919><c> it</c><00:20:52.080><c> up</c><00:20:52.240><c> a</c><00:20:52.400><c> notch?</c>

00:20:52.710 --> 00:20:52.720 align:start position:0%
organel. What if we step it up a notch?
 

00:20:52.720 --> 00:20:54.549 align:start position:0%
organel. What if we step it up a notch?
Can<00:20:52.960><c> we</c><00:20:53.120><c> also</c><00:20:53.360><c> get</c><00:20:53.520><c> it</c><00:20:53.679><c> to</c><00:20:53.840><c> generate</c><00:20:54.240><c> the</c>

00:20:54.549 --> 00:20:54.559 align:start position:0%
Can we also get it to generate the
 

00:20:54.559 --> 00:20:57.029 align:start position:0%
Can we also get it to generate the
complete<00:20:54.960><c> DNA</c><00:20:55.440><c> of</c><00:20:55.600><c> a</c><00:20:55.840><c> living</c><00:20:56.080><c> thing?</c><00:20:56.720><c> Well,</c>

00:20:57.029 --> 00:20:57.039 align:start position:0%
complete DNA of a living thing? Well,
 

00:20:57.039 --> 00:20:58.710 align:start position:0%
complete DNA of a living thing? Well,
next<00:20:57.280><c> the</c><00:20:57.440><c> researchers</c><00:20:57.919><c> got</c><00:20:58.080><c> it</c><00:20:58.240><c> to</c><00:20:58.400><c> generate</c>

00:20:58.710 --> 00:20:58.720 align:start position:0%
next the researchers got it to generate
 

00:20:58.720 --> 00:21:01.830 align:start position:0%
next the researchers got it to generate
the<00:20:59.039><c> full</c><00:20:59.360><c> genome</c><00:20:59.919><c> of</c><00:21:00.159><c> a</c><00:21:00.400><c> bacteria</c><00:21:01.039><c> called</c>

00:21:01.830 --> 00:21:01.840 align:start position:0%
the full genome of a bacteria called
 

00:21:01.840 --> 00:21:04.870 align:start position:0%
the full genome of a bacteria called
myopplasma<00:21:03.120><c> genitalia</c><00:21:04.080><c> which</c><00:21:04.400><c> looks</c><00:21:04.720><c> like</c>

00:21:04.870 --> 00:21:04.880 align:start position:0%
myopplasma genitalia which looks like
 

00:21:04.880 --> 00:21:06.950 align:start position:0%
myopplasma genitalia which looks like
this<00:21:05.120><c> for</c><00:21:05.360><c> your</c><00:21:05.520><c> reference.</c><00:21:06.000><c> Now</c><00:21:06.159><c> the</c><00:21:06.320><c> DNA</c><00:21:06.720><c> of</c>

00:21:06.950 --> 00:21:06.960 align:start position:0%
this for your reference. Now the DNA of
 

00:21:06.960 --> 00:21:09.990 align:start position:0%
this for your reference. Now the DNA of
this<00:21:07.280><c> is</c><00:21:07.600><c> roughly</c><00:21:08.320><c> 580,000</c>

00:21:09.990 --> 00:21:10.000 align:start position:0%
this is roughly 580,000
 

00:21:10.000 --> 00:21:11.750 align:start position:0%
this is roughly 580,000
letters.<00:21:10.640><c> And</c><00:21:10.720><c> again</c><00:21:10.960><c> the</c><00:21:11.120><c> researchers</c><00:21:11.600><c> gave</c>

00:21:11.750 --> 00:21:11.760 align:start position:0%
letters. And again the researchers gave
 

00:21:11.760 --> 00:21:13.669 align:start position:0%
letters. And again the researchers gave
it<00:21:12.000><c> just</c><00:21:12.159><c> like</c><00:21:12.400><c> the</c><00:21:12.640><c> first</c><00:21:12.880><c> few</c><00:21:13.120><c> letters</c><00:21:13.520><c> of</c>

00:21:13.669 --> 00:21:13.679 align:start position:0%
it just like the first few letters of
 

00:21:13.679 --> 00:21:15.830 align:start position:0%
it just like the first few letters of
this<00:21:13.919><c> DNA</c><00:21:14.320><c> and</c><00:21:14.559><c> asked</c><00:21:14.799><c> it</c><00:21:15.039><c> to</c><00:21:15.280><c> generate</c><00:21:15.679><c> the</c>

00:21:15.830 --> 00:21:15.840 align:start position:0%
this DNA and asked it to generate the
 

00:21:15.840 --> 00:21:18.549 align:start position:0%
this DNA and asked it to generate the
rest.<00:21:16.400><c> And</c><00:21:16.559><c> in</c><00:21:16.799><c> short</c><00:21:17.120><c> it</c><00:21:17.360><c> also</c><00:21:17.760><c> succeeded.</c><00:21:18.320><c> it</c>

00:21:18.549 --> 00:21:18.559 align:start position:0%
rest. And in short it also succeeded. it
 

00:21:18.559 --> 00:21:20.710 align:start position:0%
rest. And in short it also succeeded. it
was<00:21:18.640><c> able</c><00:21:18.880><c> to</c><00:21:19.039><c> generate</c><00:21:19.440><c> a</c><00:21:19.840><c> complete</c><00:21:20.320><c> and</c>

00:21:20.710 --> 00:21:20.720 align:start position:0%
was able to generate a complete and
 

00:21:20.720 --> 00:21:23.430 align:start position:0%
was able to generate a complete and
fully<00:21:21.200><c> functional</c><00:21:21.919><c> genome</c><00:21:22.559><c> that</c><00:21:22.880><c> resembles</c>

00:21:23.430 --> 00:21:23.440 align:start position:0%
fully functional genome that resembles
 

00:21:23.440 --> 00:21:26.070 align:start position:0%
fully functional genome that resembles
this<00:21:23.840><c> bacteria</c><00:21:24.320><c> in</c><00:21:24.640><c> real</c><00:21:24.880><c> life.</c><00:21:25.440><c> Now,</c><00:21:25.760><c> instead</c>

00:21:26.070 --> 00:21:26.080 align:start position:0%
this bacteria in real life. Now, instead
 

00:21:26.080 --> 00:21:28.149 align:start position:0%
this bacteria in real life. Now, instead
of<00:21:26.320><c> just</c><00:21:26.640><c> bacteria,</c><00:21:27.280><c> what</c><00:21:27.440><c> if</c><00:21:27.520><c> we</c><00:21:27.679><c> got</c><00:21:27.840><c> it</c><00:21:28.000><c> to</c>

00:21:28.149 --> 00:21:28.159 align:start position:0%
of just bacteria, what if we got it to
 

00:21:28.159 --> 00:21:30.390 align:start position:0%
of just bacteria, what if we got it to
generate<00:21:28.559><c> something</c><00:21:28.960><c> even</c><00:21:29.280><c> more</c><00:21:29.600><c> complex?</c>

00:21:30.390 --> 00:21:30.400 align:start position:0%
generate something even more complex?
 

00:21:30.400 --> 00:21:32.950 align:start position:0%
generate something even more complex?
So,<00:21:30.559><c> next,</c><00:21:30.880><c> the</c><00:21:31.120><c> scientists</c><00:21:31.600><c> asked</c><00:21:31.919><c> Evo</c><00:21:32.400><c> 2</c><00:21:32.640><c> to</c>

00:21:32.950 --> 00:21:32.960 align:start position:0%
So, next, the scientists asked Evo 2 to
 

00:21:32.960 --> 00:21:35.750 align:start position:0%
So, next, the scientists asked Evo 2 to
generate<00:21:33.360><c> the</c><00:21:33.679><c> entire</c><00:21:34.159><c> genome</c><00:21:34.640><c> of</c><00:21:35.120><c> this</c><00:21:35.440><c> other</c>

00:21:35.750 --> 00:21:35.760 align:start position:0%
generate the entire genome of this other
 

00:21:35.760 --> 00:21:39.750 align:start position:0%
generate the entire genome of this other
organism<00:21:36.480><c> called</c><00:21:36.960><c> Sakaromyces</c><00:21:38.240><c> Sur</c><00:21:38.799><c> Visay.</c>

00:21:39.750 --> 00:21:39.760 align:start position:0%
organism called Sakaromyces Sur Visay.
 

00:21:39.760 --> 00:21:42.070 align:start position:0%
organism called Sakaromyces Sur Visay.
This<00:21:39.919><c> is</c><00:21:40.159><c> basically</c><00:21:40.720><c> a</c><00:21:40.960><c> yeast,</c><00:21:41.440><c> which</c><00:21:41.679><c> is</c><00:21:41.840><c> very</c>

00:21:42.070 --> 00:21:42.080 align:start position:0%
This is basically a yeast, which is very
 

00:21:42.080 --> 00:21:44.149 align:start position:0%
This is basically a yeast, which is very
different<00:21:42.240><c> from</c><00:21:42.559><c> bacteria.</c><00:21:43.200><c> In</c><00:21:43.360><c> fact,</c><00:21:43.760><c> this</c>

00:21:44.149 --> 00:21:44.159 align:start position:0%
different from bacteria. In fact, this
 

00:21:44.159 --> 00:21:46.390 align:start position:0%
different from bacteria. In fact, this
organism<00:21:44.880><c> is</c><00:21:45.120><c> more</c><00:21:45.360><c> related</c><00:21:45.679><c> to</c><00:21:45.840><c> humans</c><00:21:46.240><c> than</c>

00:21:46.390 --> 00:21:46.400 align:start position:0%
organism is more related to humans than
 

00:21:46.400 --> 00:21:48.470 align:start position:0%
organism is more related to humans than
it<00:21:46.559><c> is</c><00:21:46.720><c> to</c><00:21:46.960><c> bacteria.</c><00:21:47.520><c> And</c><00:21:47.760><c> again,</c><00:21:48.000><c> they</c><00:21:48.320><c> just</c>

00:21:48.470 --> 00:21:48.480 align:start position:0%
it is to bacteria. And again, they just
 

00:21:48.480 --> 00:21:50.630 align:start position:0%
it is to bacteria. And again, they just
gave<00:21:48.720><c> it</c><00:21:48.880><c> the</c><00:21:49.120><c> first</c><00:21:49.280><c> few</c><00:21:49.440><c> letters</c><00:21:49.840><c> of</c><00:21:50.000><c> its</c><00:21:50.240><c> DNA</c>

00:21:50.630 --> 00:21:50.640 align:start position:0%
gave it the first few letters of its DNA
 

00:21:50.640 --> 00:21:52.789 align:start position:0%
gave it the first few letters of its DNA
and<00:21:50.799><c> then</c><00:21:50.960><c> asked</c><00:21:51.200><c> it</c><00:21:51.440><c> to</c><00:21:51.600><c> generate</c><00:21:52.080><c> the</c><00:21:52.400><c> entire</c>

00:21:52.789 --> 00:21:52.799 align:start position:0%
and then asked it to generate the entire
 

00:21:52.799 --> 00:21:55.350 align:start position:0%
and then asked it to generate the entire
thing.<00:21:53.200><c> And</c><00:21:53.360><c> lo</c><00:21:53.520><c> and</c><00:21:53.760><c> behold,</c><00:21:54.159><c> it</c><00:21:54.480><c> was</c><00:21:54.640><c> able</c><00:21:54.960><c> to</c>

00:21:55.350 --> 00:21:55.360 align:start position:0%
thing. And lo and behold, it was able to
 

00:21:55.360 --> 00:21:57.830 align:start position:0%
thing. And lo and behold, it was able to
successfully<00:21:56.159><c> generate</c><00:21:56.720><c> a</c><00:21:57.039><c> fully</c><00:21:57.520><c> working</c>

00:21:57.830 --> 00:21:57.840 align:start position:0%
successfully generate a fully working
 

00:21:57.840 --> 00:22:00.470 align:start position:0%
successfully generate a fully working
DNA<00:21:58.480><c> of</c><00:21:58.720><c> this</c><00:21:58.880><c> yeast,</c><00:21:59.440><c> complete</c><00:21:59.919><c> with</c><00:22:00.240><c> the</c>

00:22:00.470 --> 00:22:00.480 align:start position:0%
DNA of this yeast, complete with the
 

00:22:00.480 --> 00:22:02.549 align:start position:0%
DNA of this yeast, complete with the
protein<00:22:00.880><c> designs,</c><00:22:01.440><c> the</c><00:22:01.679><c> factory</c><00:22:02.000><c> workers,</c>

00:22:02.549 --> 00:22:02.559 align:start position:0%
protein designs, the factory workers,
 

00:22:02.559 --> 00:22:04.870 align:start position:0%
protein designs, the factory workers,
delivery<00:22:03.120><c> systems,</c><00:22:03.679><c> and</c><00:22:03.919><c> everything</c><00:22:04.400><c> else</c><00:22:04.640><c> it</c>

00:22:04.870 --> 00:22:04.880 align:start position:0%
delivery systems, and everything else it
 

00:22:04.880 --> 00:22:06.789 align:start position:0%
delivery systems, and everything else it
needs<00:22:05.120><c> to</c><00:22:05.360><c> function.</c><00:22:05.760><c> So,</c><00:22:06.000><c> this</c><00:22:06.159><c> proves</c><00:22:06.480><c> that</c>

00:22:06.789 --> 00:22:06.799 align:start position:0%
needs to function. So, this proves that
 

00:22:06.799 --> 00:22:10.149 align:start position:0%
needs to function. So, this proves that
EVO<00:22:07.280><c> 2</c><00:22:07.600><c> can</c><00:22:07.919><c> fluently</c><00:22:08.480><c> generate</c><00:22:08.960><c> DNA</c><00:22:09.600><c> for</c>

00:22:10.149 --> 00:22:10.159 align:start position:0%
EVO 2 can fluently generate DNA for
 

00:22:10.159 --> 00:22:12.149 align:start position:0%
EVO 2 can fluently generate DNA for
multiple<00:22:10.960><c> different</c><00:22:11.360><c> types</c><00:22:11.679><c> of</c><00:22:11.840><c> living</c>

00:22:12.149 --> 00:22:12.159 align:start position:0%
multiple different types of living
 

00:22:12.159 --> 00:22:15.110 align:start position:0%
multiple different types of living
things,<00:22:12.640><c> spanning</c><00:22:13.120><c> organels</c><00:22:13.679><c> to</c><00:22:14.000><c> bacteria</c><00:22:14.720><c> to</c>

00:22:15.110 --> 00:22:15.120 align:start position:0%
things, spanning organels to bacteria to
 

00:22:15.120 --> 00:22:17.669 align:start position:0%
things, spanning organels to bacteria to
even<00:22:15.600><c> yeast.</c><00:22:16.240><c> For</c><00:22:16.480><c> now,</c><00:22:16.799><c> you</c><00:22:17.039><c> might</c><00:22:17.280><c> have</c><00:22:17.440><c> a</c>

00:22:17.669 --> 00:22:17.679 align:start position:0%
even yeast. For now, you might have a
 

00:22:17.679 --> 00:22:19.990 align:start position:0%
even yeast. For now, you might have a
burning<00:22:18.080><c> question</c><00:22:18.320><c> in</c><00:22:18.559><c> your</c><00:22:18.720><c> head.</c><00:22:19.120><c> If</c><00:22:19.280><c> Evo</c><00:22:19.760><c> 2</c>

00:22:19.990 --> 00:22:20.000 align:start position:0%
burning question in your head. If Evo 2
 

00:22:20.000 --> 00:22:22.549 align:start position:0%
burning question in your head. If Evo 2
can<00:22:20.320><c> generate</c><00:22:20.640><c> the</c><00:22:20.880><c> DNA</c><00:22:21.360><c> of</c><00:22:21.600><c> existing</c><00:22:22.159><c> stuff,</c>

00:22:22.549 --> 00:22:22.559 align:start position:0%
can generate the DNA of existing stuff,
 

00:22:22.559 --> 00:22:24.390 align:start position:0%
can generate the DNA of existing stuff,
can<00:22:22.720><c> we</c><00:22:22.799><c> get</c><00:22:22.960><c> it</c><00:22:23.120><c> to</c><00:22:23.280><c> generate</c><00:22:23.600><c> a</c><00:22:23.840><c> completely</c>

00:22:24.390 --> 00:22:24.400 align:start position:0%
can we get it to generate a completely
 

00:22:24.400 --> 00:22:26.789 align:start position:0%
can we get it to generate a completely
new<00:22:24.720><c> species?</c><00:22:25.520><c> What</c><00:22:25.679><c> if</c><00:22:25.840><c> we</c><00:22:26.080><c> got</c><00:22:26.240><c> it</c><00:22:26.480><c> to</c>

00:22:26.789 --> 00:22:26.799 align:start position:0%
new species? What if we got it to
 

00:22:26.799 --> 00:22:28.870 align:start position:0%
new species? What if we got it to
generate<00:22:27.200><c> a</c><00:22:27.440><c> new</c><00:22:27.600><c> type</c><00:22:27.760><c> of</c><00:22:27.919><c> mouse</c><00:22:28.320><c> or</c><00:22:28.640><c> even</c>

00:22:28.870 --> 00:22:28.880 align:start position:0%
generate a new type of mouse or even
 

00:22:28.880 --> 00:22:31.110 align:start position:0%
generate a new type of mouse or even
generate<00:22:29.360><c> Pokémon?</c><00:22:30.000><c> Or</c><00:22:30.159><c> even</c><00:22:30.400><c> crazier,</c><00:22:30.960><c> what</c>

00:22:31.110 --> 00:22:31.120 align:start position:0%
generate Pokémon? Or even crazier, what
 

00:22:31.120 --> 00:22:33.110 align:start position:0%
generate Pokémon? Or even crazier, what
if<00:22:31.200><c> we</c><00:22:31.360><c> got</c><00:22:31.440><c> it</c><00:22:31.600><c> to</c><00:22:31.760><c> generate</c><00:22:32.080><c> a</c><00:22:32.320><c> new</c><00:22:32.480><c> type</c><00:22:32.799><c> of</c>

00:22:33.110 --> 00:22:33.120 align:start position:0%
if we got it to generate a new type of
 

00:22:33.120 --> 00:22:35.590 align:start position:0%
if we got it to generate a new type of
human?<00:22:33.600><c> Well,</c><00:22:33.919><c> this</c><00:22:34.080><c> raises</c><00:22:34.640><c> a</c><00:22:34.960><c> ton</c><00:22:35.280><c> of</c>

00:22:35.590 --> 00:22:35.600 align:start position:0%
human? Well, this raises a ton of
 

00:22:35.600 --> 00:22:37.830 align:start position:0%
human? Well, this raises a ton of
different<00:22:36.000><c> bioeththic</c><00:22:36.799><c> and</c><00:22:37.039><c> biocurity</c>

00:22:37.830 --> 00:22:37.840 align:start position:0%
different bioeththic and biocurity
 

00:22:37.840 --> 00:22:39.909 align:start position:0%
different bioeththic and biocurity
concerns.<00:22:38.480><c> So,</c><00:22:38.640><c> at</c><00:22:38.720><c> least</c><00:22:38.960><c> for</c><00:22:39.200><c> now,</c><00:22:39.600><c> at</c><00:22:39.600><c> least</c>

00:22:39.909 --> 00:22:39.919 align:start position:0%
concerns. So, at least for now, at least
 

00:22:39.919 --> 00:22:41.669 align:start position:0%
concerns. So, at least for now, at least
the<00:22:40.159><c> researchers</c><00:22:40.559><c> weren't</c><00:22:40.960><c> crazy</c><00:22:41.280><c> enough</c><00:22:41.440><c> to</c>

00:22:41.669 --> 00:22:41.679 align:start position:0%
the researchers weren't crazy enough to
 

00:22:41.679 --> 00:22:43.750 align:start position:0%
the researchers weren't crazy enough to
proceed<00:22:42.000><c> with</c><00:22:42.240><c> that.</c><00:22:42.799><c> But</c><00:22:43.039><c> speaking</c><00:22:43.360><c> of</c>

00:22:43.750 --> 00:22:43.760 align:start position:0%
proceed with that. But speaking of
 

00:22:43.760 --> 00:22:45.830 align:start position:0%
proceed with that. But speaking of
security,<00:22:44.400><c> here's</c><00:22:44.720><c> another</c><00:22:44.960><c> concern.</c><00:22:45.600><c> If</c>

00:22:45.830 --> 00:22:45.840 align:start position:0%
security, here's another concern. If
 

00:22:45.840 --> 00:22:47.990 align:start position:0%
security, here's another concern. If
this<00:22:46.080><c> can</c><00:22:46.240><c> generate</c><00:22:46.720><c> anything,</c><00:22:47.360><c> couldn't</c><00:22:47.679><c> we</c>

00:22:47.990 --> 00:22:48.000 align:start position:0%
this can generate anything, couldn't we
 

00:22:48.000 --> 00:22:49.590 align:start position:0%
this can generate anything, couldn't we
prompt<00:22:48.240><c> it</c><00:22:48.480><c> to</c><00:22:48.640><c> generate</c><00:22:48.960><c> a</c><00:22:49.200><c> highly</c>

00:22:49.590 --> 00:22:49.600 align:start position:0%
prompt it to generate a highly
 

00:22:49.600 --> 00:22:51.830 align:start position:0%
prompt it to generate a highly
contagious<00:22:50.320><c> human</c><00:22:50.640><c> virus?</c><00:22:51.360><c> Well,</c><00:22:51.520><c> the</c><00:22:51.679><c> good</c>

00:22:51.830 --> 00:22:51.840 align:start position:0%
contagious human virus? Well, the good
 

00:22:51.840 --> 00:22:54.230 align:start position:0%
contagious human virus? Well, the good
news<00:22:52.080><c> is</c><00:22:52.400><c> the</c><00:22:52.720><c> researchers</c><00:22:53.360><c> also</c><00:22:53.840><c> thought</c><00:22:54.000><c> of</c>

00:22:54.230 --> 00:22:54.240 align:start position:0%
news is the researchers also thought of
 

00:22:54.240 --> 00:22:56.630 align:start position:0%
news is the researchers also thought of
this<00:22:54.559><c> beforehand</c><00:22:55.440><c> before</c><00:22:55.840><c> they</c><00:22:56.080><c> trained</c><00:22:56.400><c> the</c>

00:22:56.630 --> 00:22:56.640 align:start position:0%
this beforehand before they trained the
 

00:22:56.640 --> 00:22:59.270 align:start position:0%
this beforehand before they trained the
model.<00:22:57.120><c> So,</c><00:22:57.280><c> they</c><00:22:57.520><c> made</c><00:22:57.760><c> a</c><00:22:58.159><c> very</c><00:22:58.640><c> important</c>

00:22:59.270 --> 00:22:59.280 align:start position:0%
model. So, they made a very important
 

00:22:59.280 --> 00:23:01.590 align:start position:0%
model. So, they made a very important
safety<00:22:59.760><c> decision</c><00:23:00.400><c> right</c><00:23:00.640><c> from</c><00:23:00.880><c> the</c><00:23:01.120><c> start.</c>

00:23:01.590 --> 00:23:01.600 align:start position:0%
safety decision right from the start.
 

00:23:01.600 --> 00:23:04.789 align:start position:0%
safety decision right from the start.
You<00:23:01.840><c> see,</c><00:23:02.080><c> when</c><00:23:02.400><c> they</c><00:23:02.640><c> fed</c><00:23:02.960><c> it</c><00:23:03.120><c> this</c><00:23:03.440><c> huge</c><00:23:04.000><c> DNA</c>

00:23:04.789 --> 00:23:04.799 align:start position:0%
You see, when they fed it this huge DNA
 

00:23:04.799 --> 00:23:08.070 align:start position:0%
You see, when they fed it this huge DNA
data<00:23:05.120><c> set</c><00:23:05.520><c> of</c><00:23:06.000><c> 9</c><00:23:06.320><c> trillion</c><00:23:06.880><c> base</c><00:23:07.200><c> pairs,</c><00:23:07.760><c> they</c>

00:23:08.070 --> 00:23:08.080 align:start position:0%
data set of 9 trillion base pairs, they
 

00:23:08.080 --> 00:23:11.350 align:start position:0%
data set of 9 trillion base pairs, they
intentionally<00:23:09.200><c> excluded</c><00:23:10.080><c> any</c><00:23:10.400><c> sequences</c><00:23:10.960><c> of</c>

00:23:11.350 --> 00:23:11.360 align:start position:0%
intentionally excluded any sequences of
 

00:23:11.360 --> 00:23:14.310 align:start position:0%
intentionally excluded any sequences of
ukarotic<00:23:12.080><c> viruses,</c><00:23:12.960><c> meaning</c><00:23:13.280><c> any</c><00:23:13.520><c> virus</c><00:23:14.000><c> that</c>

00:23:14.310 --> 00:23:14.320 align:start position:0%
ukarotic viruses, meaning any virus that
 

00:23:14.320 --> 00:23:16.630 align:start position:0%
ukarotic viruses, meaning any virus that
can<00:23:14.480><c> affect</c><00:23:14.880><c> humans,</c><00:23:15.360><c> animals,</c><00:23:15.760><c> or</c><00:23:16.080><c> plants.</c>

00:23:16.630 --> 00:23:16.640 align:start position:0%
can affect humans, animals, or plants.
 

00:23:16.640 --> 00:23:18.789 align:start position:0%
can affect humans, animals, or plants.
So,<00:23:16.880><c> this</c><00:23:17.200><c> includes</c><00:23:17.600><c> the</c><00:23:17.840><c> most</c><00:23:18.240><c> dangerous</c>

00:23:18.789 --> 00:23:18.799 align:start position:0%
So, this includes the most dangerous
 

00:23:18.799 --> 00:23:21.830 align:start position:0%
So, this includes the most dangerous
pathogens<00:23:19.440><c> listed</c><00:23:19.840><c> in</c><00:23:20.080><c> the</c><00:23:20.400><c> USDA</c><00:23:21.440><c> select</c>

00:23:21.830 --> 00:23:21.840 align:start position:0%
pathogens listed in the USDA select
 

00:23:21.840 --> 00:23:24.310 align:start position:0%
pathogens listed in the USDA select
agents<00:23:22.320><c> and</c><00:23:22.559><c> toxins</c><00:23:23.120><c> list.</c><00:23:23.600><c> These</c><00:23:23.840><c> are</c><00:23:24.000><c> like</c>

00:23:24.310 --> 00:23:24.320 align:start position:0%
agents and toxins list. These are like
 

00:23:24.320 --> 00:23:26.230 align:start position:0%
agents and toxins list. These are like
really<00:23:24.640><c> contagious</c><00:23:25.200><c> things</c><00:23:25.360><c> that</c><00:23:25.600><c> can</c><00:23:25.840><c> kill</c><00:23:26.000><c> a</c>

00:23:26.230 --> 00:23:26.240 align:start position:0%
really contagious things that can kill a
 

00:23:26.240 --> 00:23:28.149 align:start position:0%
really contagious things that can kill a
ton<00:23:26.400><c> of</c><00:23:26.480><c> people.</c><00:23:26.880><c> So,</c><00:23:27.120><c> all</c><00:23:27.360><c> this</c><00:23:27.520><c> data</c><00:23:27.919><c> was</c>

00:23:28.149 --> 00:23:28.159 align:start position:0%
ton of people. So, all this data was
 

00:23:28.159 --> 00:23:30.230 align:start position:0%
ton of people. So, all this data was
excluded<00:23:28.799><c> from</c><00:23:29.120><c> its</c><00:23:29.440><c> data</c><00:23:29.679><c> set.</c><00:23:29.919><c> In</c><00:23:30.159><c> other</c>

00:23:30.230 --> 00:23:30.240 align:start position:0%
excluded from its data set. In other
 

00:23:30.240 --> 00:23:33.110 align:start position:0%
excluded from its data set. In other
words,<00:23:30.559><c> the</c><00:23:30.799><c> AI</c><00:23:31.200><c> was</c><00:23:31.440><c> never</c><00:23:31.840><c> allowed</c><00:23:32.240><c> to</c><00:23:32.559><c> learn</c>

00:23:33.110 --> 00:23:33.120 align:start position:0%
words, the AI was never allowed to learn
 

00:23:33.120 --> 00:23:34.950 align:start position:0%
words, the AI was never allowed to learn
what<00:23:33.360><c> these</c><00:23:33.679><c> viruses</c><00:23:34.159><c> even</c><00:23:34.480><c> looked</c><00:23:34.640><c> like.</c>

00:23:34.950 --> 00:23:34.960 align:start position:0%
what these viruses even looked like.
 

00:23:34.960 --> 00:23:37.350 align:start position:0%
what these viruses even looked like.
It's<00:23:35.200><c> like</c><00:23:35.440><c> if</c><00:23:35.679><c> you</c><00:23:35.919><c> were</c><00:23:36.240><c> being</c><00:23:36.480><c> trained</c><00:23:36.880><c> on</c><00:23:37.120><c> a</c>

00:23:37.350 --> 00:23:37.360 align:start position:0%
It's like if you were being trained on a
 

00:23:37.360 --> 00:23:39.669 align:start position:0%
It's like if you were being trained on a
human<00:23:37.600><c> language,</c><00:23:38.240><c> but</c><00:23:38.480><c> all</c><00:23:38.720><c> the</c><00:23:38.880><c> swear</c><00:23:39.200><c> words</c>

00:23:39.669 --> 00:23:39.679 align:start position:0%
human language, but all the swear words
 

00:23:39.679 --> 00:23:41.510 align:start position:0%
human language, but all the swear words
were<00:23:40.000><c> omitted.</c><00:23:40.559><c> You</c><00:23:40.720><c> would</c><00:23:40.880><c> have</c><00:23:41.039><c> no</c><00:23:41.280><c> idea</c>

00:23:41.510 --> 00:23:41.520 align:start position:0%
were omitted. You would have no idea
 

00:23:41.520 --> 00:23:43.590 align:start position:0%
were omitted. You would have no idea
what<00:23:41.760><c> a</c><00:23:41.919><c> swear</c><00:23:42.240><c> word</c><00:23:42.559><c> even</c><00:23:42.799><c> is.</c><00:23:43.280><c> Now,</c>

00:23:43.590 --> 00:23:43.600 align:start position:0%
what a swear word even is. Now,
 

00:23:43.600 --> 00:23:45.190 align:start position:0%
what a swear word even is. Now,
excluding<00:23:44.000><c> this</c><00:23:44.240><c> training</c><00:23:44.559><c> data</c><00:23:44.799><c> is</c><00:23:45.039><c> one</c>

00:23:45.190 --> 00:23:45.200 align:start position:0%
excluding this training data is one
 

00:23:45.200 --> 00:23:47.270 align:start position:0%
excluding this training data is one
thing.<00:23:45.600><c> How</c><00:23:45.760><c> do</c><00:23:45.919><c> they</c><00:23:46.080><c> verify</c><00:23:46.559><c> that</c><00:23:46.960><c> this</c>

00:23:47.270 --> 00:23:47.280 align:start position:0%
thing. How do they verify that this
 

00:23:47.280 --> 00:23:49.590 align:start position:0%
thing. How do they verify that this
safety<00:23:47.600><c> filter</c><00:23:48.080><c> actually</c><00:23:48.400><c> works?</c><00:23:49.039><c> That</c><00:23:49.280><c> it</c>

00:23:49.590 --> 00:23:49.600 align:start position:0%
safety filter actually works? That it
 

00:23:49.600 --> 00:23:52.470 align:start position:0%
safety filter actually works? That it
can't<00:23:50.000><c> generate</c><00:23:50.480><c> viruses.</c><00:23:51.360><c> So,</c><00:23:51.600><c> they</c><00:23:51.919><c> used</c><00:23:52.240><c> a</c>

00:23:52.470 --> 00:23:52.480 align:start position:0%
can't generate viruses. So, they used a
 

00:23:52.480 --> 00:23:54.549 align:start position:0%
can't generate viruses. So, they used a
really<00:23:52.799><c> standard</c><00:23:53.200><c> AI</c><00:23:53.600><c> metric</c><00:23:54.159><c> called</c>

00:23:54.549 --> 00:23:54.559 align:start position:0%
really standard AI metric called
 

00:23:54.559 --> 00:23:56.470 align:start position:0%
really standard AI metric called
perplexity.<00:23:55.440><c> No,</c><00:23:55.760><c> it's</c><00:23:56.000><c> not</c><00:23:56.159><c> this</c>

00:23:56.470 --> 00:23:56.480 align:start position:0%
perplexity. No, it's not this
 

00:23:56.480 --> 00:23:58.789 align:start position:0%
perplexity. No, it's not this
perplexity.<00:23:57.200><c> Perplexity</c><00:23:57.840><c> is</c><00:23:58.080><c> actually</c><00:23:58.480><c> a</c>

00:23:58.789 --> 00:23:58.799 align:start position:0%
perplexity. Perplexity is actually a
 

00:23:58.799 --> 00:24:01.190 align:start position:0%
perplexity. Perplexity is actually a
metric<00:23:59.280><c> which</c><00:23:59.520><c> looks</c><00:23:59.760><c> at</c><00:24:00.000><c> how</c><00:24:00.320><c> confused</c><00:24:00.960><c> a</c>

00:24:01.190 --> 00:24:01.200 align:start position:0%
metric which looks at how confused a
 

00:24:01.200 --> 00:24:03.029 align:start position:0%
metric which looks at how confused a
model<00:24:01.520><c> is</c><00:24:01.679><c> when</c><00:24:01.919><c> it</c><00:24:02.159><c> encounters</c><00:24:02.720><c> something</c>

00:24:03.029 --> 00:24:03.039 align:start position:0%
model is when it encounters something
 

00:24:03.039 --> 00:24:05.270 align:start position:0%
model is when it encounters something
that<00:24:03.360><c> it</c><00:24:03.520><c> hasn't</c><00:24:03.760><c> seen</c><00:24:04.000><c> before.</c><00:24:04.640><c> So</c><00:24:04.880><c> after</c>

00:24:05.270 --> 00:24:05.280 align:start position:0%
that it hasn't seen before. So after
 

00:24:05.280 --> 00:24:07.590 align:start position:0%
that it hasn't seen before. So after
training<00:24:05.679><c> EVO</c><00:24:06.159><c> 2,</c><00:24:06.320><c> the</c><00:24:06.480><c> researchers</c><00:24:07.120><c> also</c>

00:24:07.590 --> 00:24:07.600 align:start position:0%
training EVO 2, the researchers also
 

00:24:07.600 --> 00:24:10.630 align:start position:0%
training EVO 2, the researchers also
gave<00:24:07.840><c> it</c><00:24:08.080><c> the</c><00:24:08.320><c> DNA</c><00:24:08.960><c> of</c><00:24:09.200><c> some</c><00:24:09.600><c> human</c><00:24:09.919><c> viruses</c>

00:24:10.630 --> 00:24:10.640 align:start position:0%
gave it the DNA of some human viruses
 

00:24:10.640 --> 00:24:13.269 align:start position:0%
gave it the DNA of some human viruses
from<00:24:11.279><c> this</c><00:24:11.600><c> list</c><00:24:12.159><c> and</c><00:24:12.400><c> basically</c><00:24:12.960><c> its</c>

00:24:13.269 --> 00:24:13.279 align:start position:0%
from this list and basically its
 

00:24:13.279 --> 00:24:15.669 align:start position:0%
from this list and basically its
perplexity<00:24:14.240><c> soared.</c><00:24:14.960><c> It</c><00:24:15.200><c> was</c><00:24:15.360><c> really</c>

00:24:15.669 --> 00:24:15.679 align:start position:0%
perplexity soared. It was really
 

00:24:15.679 --> 00:24:17.990 align:start position:0%
perplexity soared. It was really
confused.<00:24:16.320><c> It</c><00:24:16.559><c> had</c><00:24:16.720><c> no</c><00:24:17.039><c> understanding</c><00:24:17.679><c> of</c>

00:24:17.990 --> 00:24:18.000 align:start position:0%
confused. It had no understanding of
 

00:24:18.000 --> 00:24:19.990 align:start position:0%
confused. It had no understanding of
this,<00:24:18.480><c> no</c><00:24:18.720><c> internal</c><00:24:19.200><c> framework</c><00:24:19.600><c> to</c><00:24:19.840><c> make</c>

00:24:19.990 --> 00:24:20.000 align:start position:0%
this, no internal framework to make
 

00:24:20.000 --> 00:24:22.630 align:start position:0%
this, no internal framework to make
sense<00:24:20.240><c> of</c><00:24:20.640><c> what</c><00:24:20.880><c> these</c><00:24:21.200><c> sequences</c><00:24:21.919><c> are.</c><00:24:22.400><c> Now</c>

00:24:22.630 --> 00:24:22.640 align:start position:0%
sense of what these sequences are. Now
 

00:24:22.640 --> 00:24:24.310 align:start position:0%
sense of what these sequences are. Now
the<00:24:22.799><c> researchers</c><00:24:23.279><c> went</c><00:24:23.440><c> a</c><00:24:23.679><c> step</c><00:24:23.919><c> further.</c>

00:24:24.310 --> 00:24:24.320 align:start position:0%
the researchers went a step further.
 

00:24:24.320 --> 00:24:26.549 align:start position:0%
the researchers went a step further.
They<00:24:24.559><c> also</c><00:24:24.799><c> tried</c><00:24:25.120><c> to</c><00:24:25.279><c> get</c><00:24:25.440><c> it</c><00:24:25.679><c> to</c><00:24:26.000><c> generate</c>

00:24:26.549 --> 00:24:26.559 align:start position:0%
They also tried to get it to generate
 

00:24:26.559 --> 00:24:29.430 align:start position:0%
They also tried to get it to generate
the<00:24:26.799><c> DNA</c><00:24:27.200><c> of</c><00:24:27.440><c> some</c><00:24:27.840><c> dangerous</c><00:24:28.400><c> human</c><00:24:28.720><c> viruses</c>

00:24:29.430 --> 00:24:29.440 align:start position:0%
the DNA of some dangerous human viruses
 

00:24:29.440 --> 00:24:31.990 align:start position:0%
the DNA of some dangerous human viruses
and<00:24:29.679><c> see</c><00:24:30.000><c> what</c><00:24:30.240><c> it</c><00:24:30.480><c> would</c><00:24:30.720><c> do.</c><00:24:31.440><c> Thankfully,</c>

00:24:31.990 --> 00:24:32.000 align:start position:0%
and see what it would do. Thankfully,
 

00:24:32.000 --> 00:24:34.310 align:start position:0%
and see what it would do. Thankfully,
the<00:24:32.240><c> model</c><00:24:32.559><c> failed</c><00:24:33.039><c> completely.</c><00:24:33.919><c> Now,</c><00:24:34.080><c> it</c>

00:24:34.310 --> 00:24:34.320 align:start position:0%
the model failed completely. Now, it
 

00:24:34.320 --> 00:24:35.909 align:start position:0%
the model failed completely. Now, it
still<00:24:34.480><c> generated</c><00:24:35.039><c> something,</c><00:24:35.360><c> but</c><00:24:35.679><c> because</c>

00:24:35.909 --> 00:24:35.919 align:start position:0%
still generated something, but because
 

00:24:35.919 --> 00:24:38.470 align:start position:0%
still generated something, but because
it<00:24:36.240><c> didn't</c><00:24:36.400><c> have</c><00:24:36.640><c> this</c><00:24:37.039><c> virus</c><00:24:37.600><c> data</c><00:24:38.080><c> during</c>

00:24:38.470 --> 00:24:38.480 align:start position:0%
it didn't have this virus data during
 

00:24:38.480 --> 00:24:40.549 align:start position:0%
it didn't have this virus data during
training,<00:24:39.039><c> it</c><00:24:39.200><c> just</c><00:24:39.360><c> ended</c><00:24:39.600><c> up</c><00:24:39.840><c> hallucinating</c>

00:24:40.549 --> 00:24:40.559 align:start position:0%
training, it just ended up hallucinating
 

00:24:40.559 --> 00:24:42.710 align:start position:0%
training, it just ended up hallucinating
and<00:24:40.880><c> generating</c><00:24:41.360><c> gibberish.</c><00:24:42.159><c> It</c><00:24:42.400><c> was</c><00:24:42.480><c> not</c>

00:24:42.710 --> 00:24:42.720 align:start position:0%
and generating gibberish. It was not
 

00:24:42.720 --> 00:24:45.909 align:start position:0%
and generating gibberish. It was not
able<00:24:43.039><c> to</c><00:24:43.600><c> successfully</c><00:24:44.400><c> generate</c><00:24:44.880><c> the</c><00:24:45.120><c> DNA</c><00:24:45.600><c> of</c>

00:24:45.909 --> 00:24:45.919 align:start position:0%
able to successfully generate the DNA of
 

00:24:45.919 --> 00:24:48.549 align:start position:0%
able to successfully generate the DNA of
a<00:24:46.159><c> legit</c><00:24:46.640><c> human</c><00:24:47.039><c> virus.</c><00:24:47.679><c> Thank</c><00:24:48.000><c> goodness</c><00:24:48.320><c> for</c>

00:24:48.549 --> 00:24:48.559 align:start position:0%
a legit human virus. Thank goodness for
 

00:24:48.559 --> 00:24:50.950 align:start position:0%
a legit human virus. Thank goodness for
that.<00:24:49.120><c> Now,</c><00:24:49.520><c> the</c><00:24:49.840><c> really</c><00:24:50.159><c> cool</c><00:24:50.400><c> thing</c><00:24:50.640><c> is</c>

00:24:50.950 --> 00:24:50.960 align:start position:0%
that. Now, the really cool thing is
 

00:24:50.960 --> 00:24:53.510 align:start position:0%
that. Now, the really cool thing is
they've<00:24:51.440><c> actually</c><00:24:52.000><c> opensourced</c><00:24:52.960><c> everything.</c>

00:24:53.510 --> 00:24:53.520 align:start position:0%
they've actually opensourced everything.
 

00:24:53.520 --> 00:24:55.510 align:start position:0%
they've actually opensourced everything.
So<00:24:53.840><c> on</c><00:24:54.000><c> this</c><00:24:54.240><c> GitHub</c><00:24:54.640><c> repo,</c><00:24:55.039><c> which</c><00:24:55.200><c> I'll</c><00:24:55.360><c> link</c>

00:24:55.510 --> 00:24:55.520 align:start position:0%
So on this GitHub repo, which I'll link
 

00:24:55.520 --> 00:24:57.110 align:start position:0%
So on this GitHub repo, which I'll link
to<00:24:55.679><c> in</c><00:24:55.840><c> the</c><00:24:56.000><c> description</c><00:24:56.320><c> below,</c><00:24:56.799><c> you</c><00:24:56.960><c> can</c>

00:24:57.110 --> 00:24:57.120 align:start position:0%
to in the description below, you can
 

00:24:57.120 --> 00:24:59.830 align:start position:0%
to in the description below, you can
actually<00:24:57.520><c> download</c><00:24:57.919><c> and</c><00:24:58.240><c> use</c><00:24:58.559><c> EVO</c><00:24:59.120><c> 2.</c><00:24:59.440><c> So</c><00:24:59.679><c> here</c>

00:24:59.830 --> 00:24:59.840 align:start position:0%
actually download and use EVO 2. So here
 

00:24:59.840 --> 00:25:01.909 align:start position:0%
actually download and use EVO 2. So here
it<00:25:00.080><c> contains</c><00:25:00.400><c> all</c><00:25:00.559><c> the</c><00:25:00.720><c> instructions</c><00:25:01.360><c> on</c><00:25:01.679><c> how</c>

00:25:01.909 --> 00:25:01.919 align:start position:0%
it contains all the instructions on how
 

00:25:01.919 --> 00:25:04.310 align:start position:0%
it contains all the instructions on how
to<00:25:02.080><c> set</c><00:25:02.240><c> this</c><00:25:02.480><c> up.</c><00:25:02.799><c> Now,</c><00:25:03.120><c> in</c><00:25:03.279><c> addition</c><00:25:03.679><c> to</c><00:25:04.080><c> just</c>

00:25:04.310 --> 00:25:04.320 align:start position:0%
to set this up. Now, in addition to just
 

00:25:04.320 --> 00:25:06.070 align:start position:0%
to set this up. Now, in addition to just
releasing<00:25:04.720><c> the</c><00:25:04.880><c> models,</c><00:25:05.279><c> they've</c><00:25:05.600><c> also</c>

00:25:06.070 --> 00:25:06.080 align:start position:0%
releasing the models, they've also
 

00:25:06.080 --> 00:25:08.789 align:start position:0%
releasing the models, they've also
released<00:25:06.720><c> the</c><00:25:07.039><c> data</c><00:25:07.360><c> set</c><00:25:07.840><c> excluding</c><00:25:08.480><c> human</c>

00:25:08.789 --> 00:25:08.799 align:start position:0%
released the data set excluding human
 

00:25:08.799 --> 00:25:11.510 align:start position:0%
released the data set excluding human
viruses,<00:25:09.440><c> plus</c><00:25:09.760><c> also</c><00:25:10.400><c> the</c><00:25:10.799><c> training</c><00:25:11.200><c> and</c>

00:25:11.510 --> 00:25:11.520 align:start position:0%
viruses, plus also the training and
 

00:25:11.520 --> 00:25:13.909 align:start position:0%
viruses, plus also the training and
fine-tuning<00:25:12.240><c> code.</c><00:25:12.799><c> So</c><00:25:13.039><c> everything</c><00:25:13.279><c> is</c><00:25:13.520><c> here.</c>

00:25:13.909 --> 00:25:13.919 align:start position:0%
fine-tuning code. So everything is here.
 

00:25:13.919 --> 00:25:15.269 align:start position:0%
fine-tuning code. So everything is here.
If<00:25:14.159><c> you</c><00:25:14.320><c> have</c><00:25:14.480><c> enough</c><00:25:14.720><c> compute</c><00:25:15.039><c> and</c>

00:25:15.269 --> 00:25:15.279 align:start position:0%
If you have enough compute and
 

00:25:15.279 --> 00:25:16.630 align:start position:0%
If you have enough compute and
infrastructure<00:25:15.840><c> at</c><00:25:16.080><c> home,</c><00:25:16.320><c> you</c><00:25:16.480><c> could</c>

00:25:16.630 --> 00:25:16.640 align:start position:0%
infrastructure at home, you could
 

00:25:16.640 --> 00:25:18.310 align:start position:0%
infrastructure at home, you could
potentially<00:25:17.039><c> download</c><00:25:17.520><c> everything</c><00:25:18.080><c> and</c>

00:25:18.310 --> 00:25:18.320 align:start position:0%
potentially download everything and
 

00:25:18.320 --> 00:25:20.710 align:start position:0%
potentially download everything and
train<00:25:18.640><c> or</c><00:25:18.960><c> fine-tune</c><00:25:19.600><c> your</c><00:25:19.919><c> own</c><00:25:20.080><c> AI</c><00:25:20.480><c> model</c>

00:25:20.710 --> 00:25:20.720 align:start position:0%
train or fine-tune your own AI model
 

00:25:20.720 --> 00:25:23.190 align:start position:0%
train or fine-tune your own AI model
that<00:25:21.039><c> understands</c><00:25:21.440><c> and</c><00:25:21.760><c> can</c><00:25:21.919><c> generate</c><00:25:22.480><c> DNA.</c>

00:25:23.190 --> 00:25:23.200 align:start position:0%
that understands and can generate DNA.
 

00:25:23.200 --> 00:25:25.190 align:start position:0%
that understands and can generate DNA.
Now,<00:25:23.440><c> if</c><00:25:23.600><c> I</c><00:25:23.679><c> click</c><00:25:23.840><c> on</c><00:25:24.000><c> hugging</c><00:25:24.400><c> face</c><00:25:24.720><c> for</c><00:25:24.960><c> the</c>

00:25:25.190 --> 00:25:25.200 align:start position:0%
Now, if I click on hugging face for the
 

00:25:25.200 --> 00:25:28.310 align:start position:0%
Now, if I click on hugging face for the
40<00:25:25.520><c> billion</c><00:25:25.840><c> parameter</c><00:25:26.320><c> model,</c><00:25:26.640><c> it</c><00:25:26.880><c> is</c><00:25:27.200><c> 82</c><00:25:27.760><c> GB</c>

00:25:28.310 --> 00:25:28.320 align:start position:0%
40 billion parameter model, it is 82 GB
 

00:25:28.320 --> 00:25:30.390 align:start position:0%
40 billion parameter model, it is 82 GB
in<00:25:28.559><c> size.</c><00:25:29.039><c> You'll</c><00:25:29.279><c> need</c><00:25:29.440><c> quite</c><00:25:29.679><c> a</c><00:25:29.919><c> high-end</c>

00:25:30.390 --> 00:25:30.400 align:start position:0%
in size. You'll need quite a high-end
 

00:25:30.400 --> 00:25:33.590 align:start position:0%
in size. You'll need quite a high-end
GPU<00:25:30.880><c> to</c><00:25:31.120><c> run</c><00:25:31.279><c> this.</c><00:25:31.760><c> Anyways,</c><00:25:32.240><c> back</c><00:25:32.400><c> to</c><00:25:32.640><c> EVO</c><00:25:33.120><c> 2.</c>

00:25:33.590 --> 00:25:33.600 align:start position:0%
GPU to run this. Anyways, back to EVO 2.
 

00:25:33.600 --> 00:25:35.590 align:start position:0%
GPU to run this. Anyways, back to EVO 2.
This<00:25:33.840><c> actually</c><00:25:34.240><c> opens</c><00:25:34.559><c> up</c><00:25:34.799><c> a</c><00:25:35.039><c> ton</c><00:25:35.360><c> of</c>

00:25:35.590 --> 00:25:35.600 align:start position:0%
This actually opens up a ton of
 

00:25:35.600 --> 00:25:37.350 align:start position:0%
This actually opens up a ton of
possibilities,<00:25:36.400><c> and</c><00:25:36.640><c> this</c><00:25:36.799><c> is</c><00:25:36.960><c> just</c><00:25:37.120><c> the</c>

00:25:37.350 --> 00:25:37.360 align:start position:0%
possibilities, and this is just the
 

00:25:37.360 --> 00:25:39.350 align:start position:0%
possibilities, and this is just the
beginning.<00:25:37.919><c> You</c><00:25:38.159><c> see,</c><00:25:38.400><c> if</c><00:25:38.559><c> we</c><00:25:38.640><c> have</c><00:25:38.720><c> an</c><00:25:38.960><c> AI</c>

00:25:39.350 --> 00:25:39.360 align:start position:0%
beginning. You see, if we have an AI
 

00:25:39.360 --> 00:25:41.430 align:start position:0%
beginning. You see, if we have an AI
that<00:25:39.600><c> can</c><00:25:39.760><c> understand</c><00:25:40.240><c> DNA</c><00:25:40.640><c> and</c><00:25:40.960><c> also</c>

00:25:41.430 --> 00:25:41.440 align:start position:0%
that can understand DNA and also
 

00:25:41.440 --> 00:25:44.070 align:start position:0%
that can understand DNA and also
generate<00:25:42.080><c> new</c><00:25:42.400><c> DNA,</c><00:25:43.039><c> we</c><00:25:43.200><c> could</c><00:25:43.440><c> use</c><00:25:43.600><c> it</c><00:25:43.760><c> to</c>

00:25:44.070 --> 00:25:44.080 align:start position:0%
generate new DNA, we could use it to
 

00:25:44.080 --> 00:25:46.950 align:start position:0%
generate new DNA, we could use it to
design<00:25:44.640><c> better</c><00:25:45.120><c> genetically</c><00:25:45.919><c> modified</c><00:25:46.400><c> crops</c>

00:25:46.950 --> 00:25:46.960 align:start position:0%
design better genetically modified crops
 

00:25:46.960 --> 00:25:48.470 align:start position:0%
design better genetically modified crops
to<00:25:47.279><c> create</c><00:25:47.520><c> plants</c><00:25:47.840><c> that</c><00:25:48.000><c> are</c><00:25:48.159><c> more</c>

00:25:48.470 --> 00:25:48.480 align:start position:0%
to create plants that are more
 

00:25:48.480 --> 00:25:51.269 align:start position:0%
to create plants that are more
nutritious<00:25:49.120><c> or</c><00:25:49.440><c> maybe</c><00:25:49.840><c> more</c><00:25:50.159><c> resilient</c><00:25:50.960><c> or</c>

00:25:51.269 --> 00:25:51.279 align:start position:0%
nutritious or maybe more resilient or
 

00:25:51.279 --> 00:25:53.830 align:start position:0%
nutritious or maybe more resilient or
more<00:25:51.679><c> efficient</c><00:25:52.080><c> at</c><00:25:52.400><c> producing</c><00:25:53.039><c> energy</c><00:25:53.520><c> for</c>

00:25:53.830 --> 00:25:53.840 align:start position:0%
more efficient at producing energy for
 

00:25:53.840 --> 00:25:56.070 align:start position:0%
more efficient at producing energy for
bofuels.<00:25:54.720><c> The</c><00:25:54.960><c> implications</c><00:25:55.440><c> for</c><00:25:55.760><c> food</c>

00:25:56.070 --> 00:25:56.080 align:start position:0%
bofuels. The implications for food
 

00:25:56.080 --> 00:25:58.149 align:start position:0%
bofuels. The implications for food
security<00:25:56.400><c> and</c><00:25:56.720><c> sustainable</c><00:25:57.279><c> energy</c><00:25:57.760><c> are</c>

00:25:58.149 --> 00:25:58.159 align:start position:0%
security and sustainable energy are
 

00:25:58.159 --> 00:25:59.990 align:start position:0%
security and sustainable energy are
huge.<00:25:58.799><c> But</c><00:25:58.880><c> it</c><00:25:59.120><c> doesn't</c><00:25:59.279><c> just</c><00:25:59.520><c> stop</c><00:25:59.760><c> at</c>

00:25:59.990 --> 00:26:00.000 align:start position:0%
huge. But it doesn't just stop at
 

00:26:00.000 --> 00:26:01.990 align:start position:0%
huge. But it doesn't just stop at
plants.<00:26:00.559><c> If</c><00:26:00.799><c> we</c><00:26:00.960><c> were</c><00:26:01.120><c> to</c><00:26:01.360><c> really</c><00:26:01.679><c> stretch</c>

00:26:01.990 --> 00:26:02.000 align:start position:0%
plants. If we were to really stretch
 

00:26:02.000 --> 00:26:04.149 align:start position:0%
plants. If we were to really stretch
this<00:26:02.240><c> out,</c><00:26:02.559><c> maybe</c><00:26:02.799><c> we</c><00:26:03.120><c> could</c><00:26:03.279><c> also</c><00:26:03.679><c> get</c><00:26:03.919><c> this</c>

00:26:04.149 --> 00:26:04.159 align:start position:0%
this out, maybe we could also get this
 

00:26:04.159 --> 00:26:07.190 align:start position:0%
this out, maybe we could also get this
to<00:26:04.480><c> analyze</c><00:26:05.120><c> the</c><00:26:05.440><c> human</c><00:26:05.760><c> genome</c><00:26:06.320><c> at</c><00:26:06.559><c> a</c><00:26:06.720><c> level</c>

00:26:07.190 --> 00:26:07.200 align:start position:0%
to analyze the human genome at a level
 

00:26:07.200 --> 00:26:09.110 align:start position:0%
to analyze the human genome at a level
much<00:26:07.520><c> deeper</c><00:26:07.919><c> than</c><00:26:08.159><c> we</c><00:26:08.480><c> currently</c>

00:26:09.110 --> 00:26:09.120 align:start position:0%
much deeper than we currently
 

00:26:09.120 --> 00:26:11.269 align:start position:0%
much deeper than we currently
understand.<00:26:10.000><c> Maybe</c><00:26:10.240><c> it</c><00:26:10.480><c> can</c><00:26:10.640><c> help</c><00:26:10.799><c> us</c><00:26:11.039><c> figure</c>

00:26:11.269 --> 00:26:11.279 align:start position:0%
understand. Maybe it can help us figure
 

00:26:11.279 --> 00:26:13.430 align:start position:0%
understand. Maybe it can help us figure
out<00:26:11.440><c> which</c><00:26:11.760><c> parts</c><00:26:12.000><c> of</c><00:26:12.159><c> our</c><00:26:12.320><c> DNA</c><00:26:12.720><c> we</c><00:26:12.960><c> can</c><00:26:13.120><c> tweak</c>

00:26:13.430 --> 00:26:13.440 align:start position:0%
out which parts of our DNA we can tweak
 

00:26:13.440 --> 00:26:15.510 align:start position:0%
out which parts of our DNA we can tweak
to<00:26:13.679><c> make</c><00:26:13.840><c> us</c><00:26:14.080><c> better.</c><00:26:14.559><c> For</c><00:26:14.640><c> example,</c><00:26:15.200><c> changing</c>

00:26:15.510 --> 00:26:15.520 align:start position:0%
to make us better. For example, changing
 

00:26:15.520 --> 00:26:17.029 align:start position:0%
to make us better. For example, changing
a<00:26:15.679><c> certain</c><00:26:15.919><c> gene</c><00:26:16.240><c> could</c><00:26:16.400><c> make</c><00:26:16.559><c> us</c><00:26:16.799><c> more</c>

00:26:17.029 --> 00:26:17.039 align:start position:0%
a certain gene could make us more
 

00:26:17.039 --> 00:26:18.950 align:start position:0%
a certain gene could make us more
productive.<00:26:17.679><c> Changing</c><00:26:18.080><c> another</c><00:26:18.400><c> gene</c><00:26:18.720><c> could</c>

00:26:18.950 --> 00:26:18.960 align:start position:0%
productive. Changing another gene could
 

00:26:18.960 --> 00:26:21.750 align:start position:0%
productive. Changing another gene could
make<00:26:19.120><c> us</c><00:26:19.520><c> stronger</c><00:26:20.159><c> or</c><00:26:20.480><c> smarter,</c><00:26:21.120><c> or</c><00:26:21.360><c> changing</c>

00:26:21.750 --> 00:26:21.760 align:start position:0%
make us stronger or smarter, or changing
 

00:26:21.760 --> 00:26:23.750 align:start position:0%
make us stronger or smarter, or changing
another<00:26:22.159><c> gene</c><00:26:22.400><c> could</c><00:26:22.640><c> make</c><00:26:22.799><c> us</c><00:26:22.960><c> immune</c><00:26:23.360><c> to</c><00:26:23.600><c> a</c>

00:26:23.750 --> 00:26:23.760 align:start position:0%
another gene could make us immune to a
 

00:26:23.760 --> 00:26:25.750 align:start position:0%
another gene could make us immune to a
certain<00:26:24.080><c> disease.</c><00:26:24.720><c> And</c><00:26:24.880><c> this</c><00:26:25.039><c> is</c><00:26:25.200><c> also</c><00:26:25.520><c> great</c>

00:26:25.750 --> 00:26:25.760 align:start position:0%
certain disease. And this is also great
 

00:26:25.760 --> 00:26:28.149 align:start position:0%
certain disease. And this is also great
for<00:26:26.000><c> personalized</c><00:26:26.799><c> medicine.</c><00:26:27.520><c> If</c><00:26:27.760><c> you</c><00:26:27.919><c> have</c><00:26:28.000><c> a</c>

00:26:28.149 --> 00:26:28.159 align:start position:0%
for personalized medicine. If you have a
 

00:26:28.159 --> 00:26:30.310 align:start position:0%
for personalized medicine. If you have a
patient<00:26:28.480><c> with</c><00:26:28.720><c> a</c><00:26:28.880><c> disease</c><00:26:29.440><c> or</c><00:26:29.679><c> something</c><00:26:29.919><c> that</c>

00:26:30.310 --> 00:26:30.320 align:start position:0%
patient with a disease or something that
 

00:26:30.320 --> 00:26:32.390 align:start position:0%
patient with a disease or something that
doctors<00:26:30.799><c> cannot</c><00:26:31.200><c> diagnose,</c><00:26:31.840><c> you</c><00:26:32.080><c> can</c><00:26:32.159><c> just</c>

00:26:32.390 --> 00:26:32.400 align:start position:0%
doctors cannot diagnose, you can just
 

00:26:32.400 --> 00:26:34.549 align:start position:0%
doctors cannot diagnose, you can just
extract<00:26:32.799><c> their</c><00:26:33.039><c> DNA</c><00:26:33.520><c> and</c><00:26:33.760><c> then</c><00:26:34.080><c> plug</c><00:26:34.400><c> it</c>

00:26:34.549 --> 00:26:34.559 align:start position:0%
extract their DNA and then plug it
 

00:26:34.559 --> 00:26:36.470 align:start position:0%
extract their DNA and then plug it
through<00:26:34.799><c> this</c><00:26:34.960><c> AI</c><00:26:35.440><c> to</c><00:26:35.679><c> potentially</c><00:26:36.240><c> figure</c>

00:26:36.470 --> 00:26:36.480 align:start position:0%
through this AI to potentially figure
 

00:26:36.480 --> 00:26:38.950 align:start position:0%
through this AI to potentially figure
out<00:26:36.799><c> what's</c><00:26:37.200><c> going</c><00:26:37.360><c> on.</c><00:26:37.840><c> Each</c><00:26:38.159><c> person's</c><00:26:38.559><c> DNA</c>

00:26:38.950 --> 00:26:38.960 align:start position:0%
out what's going on. Each person's DNA
 

00:26:38.960 --> 00:26:41.510 align:start position:0%
out what's going on. Each person's DNA
is<00:26:39.200><c> slightly</c><00:26:39.679><c> different.</c><00:26:40.159><c> So,</c><00:26:40.400><c> with</c><00:26:40.720><c> this</c><00:26:40.880><c> AI,</c>

00:26:41.510 --> 00:26:41.520 align:start position:0%
is slightly different. So, with this AI,
 

00:26:41.520 --> 00:26:44.310 align:start position:0%
is slightly different. So, with this AI,
we<00:26:41.760><c> can</c><00:26:41.919><c> use</c><00:26:42.080><c> it</c><00:26:42.320><c> to</c><00:26:42.559><c> help</c><00:26:42.880><c> prescribe</c><00:26:43.600><c> bespoke</c>

00:26:44.310 --> 00:26:44.320 align:start position:0%
we can use it to help prescribe bespoke
 

00:26:44.320 --> 00:26:46.470 align:start position:0%
we can use it to help prescribe bespoke
personalized<00:26:45.200><c> healthcare.</c><00:26:46.000><c> Or</c><00:26:46.159><c> here's</c>

00:26:46.470 --> 00:26:46.480 align:start position:0%
personalized healthcare. Or here's
 

00:26:46.480 --> 00:26:48.230 align:start position:0%
personalized healthcare. Or here's
another<00:26:46.799><c> crazy</c><00:26:47.120><c> thing.</c><00:26:47.440><c> If</c><00:26:47.600><c> you're</c><00:26:47.840><c> expecting</c>

00:26:48.230 --> 00:26:48.240 align:start position:0%
another crazy thing. If you're expecting
 

00:26:48.240 --> 00:26:50.789 align:start position:0%
another crazy thing. If you're expecting
a<00:26:48.559><c> baby,</c><00:26:49.200><c> maybe</c><00:26:49.440><c> you</c><00:26:49.679><c> can</c><00:26:49.840><c> take</c><00:26:50.000><c> its</c><00:26:50.159><c> DNA</c><00:26:50.559><c> and</c>

00:26:50.789 --> 00:26:50.799 align:start position:0%
a baby, maybe you can take its DNA and
 

00:26:50.799 --> 00:26:53.190 align:start position:0%
a baby, maybe you can take its DNA and
plug<00:26:50.960><c> it</c><00:26:51.120><c> through</c><00:26:51.360><c> this</c><00:26:51.600><c> AI</c><00:26:52.080><c> to</c><00:26:52.320><c> detect</c><00:26:52.720><c> a</c><00:26:53.039><c> ton</c>

00:26:53.190 --> 00:26:53.200 align:start position:0%
plug it through this AI to detect a ton
 

00:26:53.200 --> 00:26:55.430 align:start position:0%
plug it through this AI to detect a ton
of<00:26:53.360><c> things.</c><00:26:53.919><c> for</c><00:26:54.080><c> example,</c><00:26:54.559><c> your</c><00:26:54.799><c> baby's</c><00:26:55.200><c> hair</c>

00:26:55.430 --> 00:26:55.440 align:start position:0%
of things. for example, your baby's hair
 

00:26:55.440 --> 00:26:58.149 align:start position:0%
of things. for example, your baby's hair
color,<00:26:55.840><c> eye</c><00:26:56.159><c> color,</c><00:26:56.559><c> athleticism,</c><00:26:57.600><c> risk</c><00:26:57.919><c> of</c>

00:26:58.149 --> 00:26:58.159 align:start position:0%
color, eye color, athleticism, risk of
 

00:26:58.159 --> 00:27:00.390 align:start position:0%
color, eye color, athleticism, risk of
disease,<00:26:58.799><c> even</c><00:26:59.120><c> personality,</c><00:26:59.679><c> and</c><00:26:59.919><c> a</c><00:27:00.080><c> ton</c><00:27:00.240><c> of</c>

00:27:00.390 --> 00:27:00.400 align:start position:0%
disease, even personality, and a ton of
 

00:27:00.400 --> 00:27:03.029 align:start position:0%
disease, even personality, and a ton of
other<00:27:00.559><c> stuff,</c><00:27:01.039><c> even</c><00:27:01.360><c> before</c><00:27:01.760><c> it's</c><00:27:02.159><c> born.</c><00:27:02.720><c> Now,</c>

00:27:03.029 --> 00:27:03.039 align:start position:0%
other stuff, even before it's born. Now,
 

00:27:03.039 --> 00:27:04.950 align:start position:0%
other stuff, even before it's born. Now,
of<00:27:03.200><c> course,</c><00:27:03.520><c> all</c><00:27:03.679><c> of</c><00:27:03.840><c> this</c><00:27:04.159><c> comes</c><00:27:04.559><c> with</c>

00:27:04.950 --> 00:27:04.960 align:start position:0%
of course, all of this comes with
 

00:27:04.960 --> 00:27:07.909 align:start position:0%
of course, all of this comes with
enormous<00:27:05.679><c> ethical</c><00:27:06.159><c> and</c><00:27:06.480><c> societal</c><00:27:07.120><c> questions.</c>

00:27:07.909 --> 00:27:07.919 align:start position:0%
enormous ethical and societal questions.
 

00:27:07.919 --> 00:27:10.710 align:start position:0%
enormous ethical and societal questions.
Just<00:27:08.240><c> because</c><00:27:08.559><c> we</c><00:27:09.039><c> can</c><00:27:09.600><c> do</c><00:27:09.840><c> this</c><00:27:10.159><c> doesn't</c><00:27:10.480><c> mean</c>

00:27:10.710 --> 00:27:10.720 align:start position:0%
Just because we can do this doesn't mean
 

00:27:10.720 --> 00:27:13.190 align:start position:0%
Just because we can do this doesn't mean
we<00:27:10.960><c> should.</c><00:27:11.760><c> In</c><00:27:11.919><c> fact,</c><00:27:12.240><c> open</c><00:27:12.559><c> sourcing</c><00:27:12.960><c> this</c>

00:27:13.190 --> 00:27:13.200 align:start position:0%
we should. In fact, open sourcing this
 

00:27:13.200 --> 00:27:14.950 align:start position:0%
we should. In fact, open sourcing this
model<00:27:13.520><c> so</c><00:27:13.679><c> that</c><00:27:13.919><c> anyone</c><00:27:14.320><c> can</c><00:27:14.559><c> play</c><00:27:14.720><c> around</c>

00:27:14.950 --> 00:27:14.960 align:start position:0%
model so that anyone can play around
 

00:27:14.960 --> 00:27:17.350 align:start position:0%
model so that anyone can play around
with<00:27:15.120><c> it</c><00:27:15.360><c> is</c><00:27:15.679><c> quite</c><00:27:16.080><c> risky</c><00:27:16.559><c> to</c><00:27:16.720><c> be</c><00:27:16.880><c> honest.</c><00:27:17.200><c> I</c>

00:27:17.350 --> 00:27:17.360 align:start position:0%
with it is quite risky to be honest. I
 

00:27:17.360 --> 00:27:18.870 align:start position:0%
with it is quite risky to be honest. I
want<00:27:17.440><c> to</c><00:27:17.600><c> bring</c><00:27:17.679><c> up</c><00:27:17.840><c> the</c><00:27:18.000><c> famous</c><00:27:18.320><c> Spider-Man</c>

00:27:18.870 --> 00:27:18.880 align:start position:0%
want to bring up the famous Spider-Man
 

00:27:18.880 --> 00:27:21.430 align:start position:0%
want to bring up the famous Spider-Man
quote,<00:27:19.360><c> "With</c><00:27:19.760><c> great</c><00:27:20.080><c> power</c><00:27:20.480><c> comes</c><00:27:20.960><c> great</c>

00:27:21.430 --> 00:27:21.440 align:start position:0%
quote, "With great power comes great
 

00:27:21.440 --> 00:27:23.430 align:start position:0%
quote, "With great power comes great
responsibility."<00:27:22.400><c> Even</c><00:27:22.640><c> though</c><00:27:22.799><c> this</c><00:27:23.039><c> model</c>

00:27:23.430 --> 00:27:23.440 align:start position:0%
responsibility." Even though this model
 

00:27:23.440 --> 00:27:25.750 align:start position:0%
responsibility." Even though this model
wasn't<00:27:23.840><c> trained</c><00:27:24.159><c> on</c><00:27:24.400><c> any</c><00:27:24.720><c> virus</c><00:27:25.200><c> data,</c>

00:27:25.750 --> 00:27:25.760 align:start position:0%
wasn't trained on any virus data,
 

00:27:25.760 --> 00:27:27.669 align:start position:0%
wasn't trained on any virus data,
because<00:27:26.080><c> you</c><00:27:26.159><c> know</c><00:27:26.320><c> this</c><00:27:26.559><c> model</c><00:27:27.039><c> plus</c><00:27:27.440><c> the</c>

00:27:27.669 --> 00:27:27.679 align:start position:0%
because you know this model plus the
 

00:27:27.679 --> 00:27:29.750 align:start position:0%
because you know this model plus the
training<00:27:28.000><c> code</c><00:27:28.320><c> plus</c><00:27:28.640><c> the</c><00:27:28.880><c> data</c><00:27:29.120><c> set</c><00:27:29.440><c> was</c>

00:27:29.750 --> 00:27:29.760 align:start position:0%
training code plus the data set was
 

00:27:29.760 --> 00:27:31.269 align:start position:0%
training code plus the data set was
released,<00:27:30.400><c> maybe</c><00:27:30.720><c> someone</c><00:27:31.039><c> could</c>

00:27:31.269 --> 00:27:31.279 align:start position:0%
released, maybe someone could
 

00:27:31.279 --> 00:27:33.110 align:start position:0%
released, maybe someone could
potentially<00:27:31.760><c> take</c><00:27:31.919><c> this</c><00:27:32.159><c> model</c><00:27:32.400><c> and</c><00:27:32.640><c> retrain</c>

00:27:33.110 --> 00:27:33.120 align:start position:0%
potentially take this model and retrain
 

00:27:33.120 --> 00:27:36.149 align:start position:0%
potentially take this model and retrain
it<00:27:33.279><c> on</c><00:27:33.440><c> a</c><00:27:33.600><c> ton</c><00:27:33.760><c> of</c><00:27:34.000><c> human</c><00:27:34.320><c> virus</c><00:27:34.960><c> DNA</c><00:27:35.440><c> data</c><00:27:35.840><c> and</c>

00:27:36.149 --> 00:27:36.159 align:start position:0%
it on a ton of human virus DNA data and
 

00:27:36.159 --> 00:27:37.669 align:start position:0%
it on a ton of human virus DNA data and
create<00:27:36.320><c> a</c><00:27:36.559><c> model</c><00:27:36.720><c> that</c><00:27:36.960><c> can</c><00:27:37.120><c> generate</c><00:27:37.440><c> a</c>

00:27:37.669 --> 00:27:37.679 align:start position:0%
create a model that can generate a
 

00:27:37.679 --> 00:27:39.909 align:start position:0%
create a model that can generate a
pandemic<00:27:38.320><c> beyond</c><00:27:38.720><c> our</c><00:27:39.039><c> imagination.</c>

00:27:39.909 --> 00:27:39.919 align:start position:0%
pandemic beyond our imagination.
 

00:27:39.919 --> 00:27:42.310 align:start position:0%
pandemic beyond our imagination.
Anyways,<00:27:40.480><c> that</c><00:27:40.720><c> was</c><00:27:40.960><c> quite</c><00:27:41.200><c> the</c><00:27:41.440><c> deep</c><00:27:41.679><c> dive.</c>

00:27:42.310 --> 00:27:42.320 align:start position:0%
Anyways, that was quite the deep dive.
 

00:27:42.320 --> 00:27:44.310 align:start position:0%
Anyways, that was quite the deep dive.
This<00:27:42.480><c> paper</c><00:27:42.799><c> is</c><00:27:42.960><c> just</c><00:27:43.200><c> jam-packed</c><00:27:43.840><c> with</c><00:27:44.080><c> stuff</c>

00:27:44.310 --> 00:27:44.320 align:start position:0%
This paper is just jam-packed with stuff
 

00:27:44.320 --> 00:27:46.149 align:start position:0%
This paper is just jam-packed with stuff
and<00:27:44.559><c> there's</c><00:27:44.799><c> a</c><00:27:45.039><c> ton</c><00:27:45.279><c> of</c><00:27:45.440><c> technical</c><00:27:45.919><c> things</c>

00:27:46.149 --> 00:27:46.159 align:start position:0%
and there's a ton of technical things
 

00:27:46.159 --> 00:27:48.390 align:start position:0%
and there's a ton of technical things
that<00:27:46.480><c> I</c><00:27:46.720><c> didn't</c><00:27:47.039><c> even</c><00:27:47.360><c> touch</c><00:27:47.520><c> on,</c><00:27:47.840><c> but</c><00:27:48.080><c> that's</c>

00:27:48.390 --> 00:27:48.400 align:start position:0%
that I didn't even touch on, but that's
 

00:27:48.400 --> 00:27:51.110 align:start position:0%
that I didn't even touch on, but that's
basically<00:27:48.880><c> the</c><00:27:49.120><c> gist</c><00:27:49.520><c> of</c><00:27:49.760><c> this</c><00:27:50.000><c> paper.</c><00:27:50.559><c> Hope</c><00:27:50.880><c> I</c>

00:27:51.110 --> 00:27:51.120 align:start position:0%
basically the gist of this paper. Hope I
 

00:27:51.120 --> 00:27:53.269 align:start position:0%
basically the gist of this paper. Hope I
was<00:27:51.200><c> able</c><00:27:51.520><c> to</c><00:27:51.840><c> make</c><00:27:52.080><c> it</c><00:27:52.320><c> easy</c><00:27:52.559><c> enough</c><00:27:52.880><c> for</c><00:27:53.120><c> you</c>

00:27:53.269 --> 00:27:53.279 align:start position:0%
was able to make it easy enough for you
 

00:27:53.279 --> 00:27:55.190 align:start position:0%
was able to make it easy enough for you
to<00:27:53.520><c> understand</c><00:27:54.080><c> and</c><00:27:54.320><c> also</c><00:27:54.559><c> show</c><00:27:54.720><c> you</c><00:27:54.880><c> how</c>

00:27:55.190 --> 00:27:55.200 align:start position:0%
to understand and also show you how
 

00:27:55.200 --> 00:27:57.510 align:start position:0%
to understand and also show you how
mind-blowing<00:27:55.919><c> this</c><00:27:56.159><c> AI</c><00:27:56.559><c> is.</c><00:27:56.960><c> Let</c><00:27:57.120><c> me</c><00:27:57.200><c> know</c><00:27:57.279><c> in</c>

00:27:57.510 --> 00:27:57.520 align:start position:0%
mind-blowing this AI is. Let me know in
 

00:27:57.520 --> 00:27:58.950 align:start position:0%
mind-blowing this AI is. Let me know in
the<00:27:57.600><c> comments</c><00:27:57.840><c> what</c><00:27:58.080><c> you</c><00:27:58.240><c> think</c><00:27:58.399><c> of</c><00:27:58.640><c> all</c><00:27:58.880><c> of</c>

00:27:58.950 --> 00:27:58.960 align:start position:0%
the comments what you think of all of
 

00:27:58.960 --> 00:28:01.350 align:start position:0%
the comments what you think of all of
this.<00:27:59.600><c> As</c><00:27:59.919><c> always,</c><00:28:00.399><c> I</c><00:28:00.640><c> will</c><00:28:00.799><c> be</c><00:28:00.960><c> on</c><00:28:01.120><c> the</c>

00:28:01.350 --> 00:28:01.360 align:start position:0%
this. As always, I will be on the
 

00:28:01.360 --> 00:28:04.310 align:start position:0%
this. As always, I will be on the
lookout<00:28:01.760><c> for</c><00:28:02.000><c> the</c><00:28:02.240><c> top</c><00:28:02.559><c> AI</c><00:28:03.039><c> news</c><00:28:03.360><c> and</c><00:28:03.679><c> tools</c><00:28:04.080><c> to</c>

00:28:04.310 --> 00:28:04.320 align:start position:0%
lookout for the top AI news and tools to
 

00:28:04.320 --> 00:28:06.230 align:start position:0%
lookout for the top AI news and tools to
share<00:28:04.559><c> with</c><00:28:04.720><c> you.</c><00:28:05.120><c> So,</c><00:28:05.279><c> if</c><00:28:05.520><c> you</c><00:28:05.679><c> enjoyed</c><00:28:06.000><c> this</c>

00:28:06.230 --> 00:28:06.240 align:start position:0%
share with you. So, if you enjoyed this
 

00:28:06.240 --> 00:28:07.990 align:start position:0%
share with you. So, if you enjoyed this
video,<00:28:06.720><c> remember</c><00:28:07.039><c> to</c><00:28:07.279><c> like,</c><00:28:07.600><c> share,</c>

00:28:07.990 --> 00:28:08.000 align:start position:0%
video, remember to like, share,
 

00:28:08.000 --> 00:28:09.990 align:start position:0%
video, remember to like, share,
subscribe,<00:28:08.559><c> and</c><00:28:08.799><c> stay</c><00:28:09.120><c> tuned</c><00:28:09.440><c> for</c><00:28:09.679><c> more</c>

00:28:09.990 --> 00:28:10.000 align:start position:0%
subscribe, and stay tuned for more
 

00:28:10.000 --> 00:28:12.310 align:start position:0%
subscribe, and stay tuned for more
content.<00:28:10.720><c> Also,</c><00:28:11.120><c> there's</c><00:28:11.440><c> just</c><00:28:11.760><c> so</c><00:28:12.080><c> much</c>

00:28:12.310 --> 00:28:12.320 align:start position:0%
content. Also, there's just so much
 

00:28:12.320 --> 00:28:14.149 align:start position:0%
content. Also, there's just so much
happening<00:28:12.559><c> in</c><00:28:12.720><c> the</c><00:28:12.880><c> world</c><00:28:13.039><c> of</c><00:28:13.200><c> AI</c><00:28:13.600><c> every</c><00:28:13.840><c> week.</c>

00:28:14.149 --> 00:28:14.159 align:start position:0%
happening in the world of AI every week.
 

00:28:14.159 --> 00:28:16.630 align:start position:0%
happening in the world of AI every week.
I<00:28:14.399><c> can't</c><00:28:14.720><c> possibly</c><00:28:15.200><c> cover</c><00:28:15.600><c> everything</c><00:28:16.080><c> on</c><00:28:16.399><c> my</c>

00:28:16.630 --> 00:28:16.640 align:start position:0%
I can't possibly cover everything on my
 

00:28:16.640 --> 00:28:18.789 align:start position:0%
I can't possibly cover everything on my
YouTube<00:28:16.960><c> channel.</c><00:28:17.520><c> So,</c><00:28:17.760><c> to</c><00:28:18.080><c> really</c><00:28:18.559><c> stay</c>

00:28:18.789 --> 00:28:18.799 align:start position:0%
YouTube channel. So, to really stay
 

00:28:18.799 --> 00:28:21.750 align:start position:0%
YouTube channel. So, to really stay
uptodate<00:28:19.600><c> with</c><00:28:19.919><c> all</c><00:28:20.159><c> that's</c><00:28:20.480><c> going</c><00:28:20.640><c> on</c><00:28:20.799><c> in</c><00:28:21.120><c> AI,</c>

00:28:21.750 --> 00:28:21.760 align:start position:0%
uptodate with all that's going on in AI,
 

00:28:21.760 --> 00:28:24.230 align:start position:0%
uptodate with all that's going on in AI,
be<00:28:21.919><c> sure</c><00:28:22.080><c> to</c><00:28:22.399><c> subscribe</c><00:28:22.799><c> to</c><00:28:23.120><c> my</c><00:28:23.440><c> free</c><00:28:23.840><c> weekly</c>

00:28:24.230 --> 00:28:24.240 align:start position:0%
be sure to subscribe to my free weekly
 

00:28:24.240 --> 00:28:26.070 align:start position:0%
be sure to subscribe to my free weekly
newsletter.<00:28:24.880><c> The</c><00:28:25.120><c> link</c><00:28:25.200><c> to</c><00:28:25.360><c> that</c><00:28:25.600><c> will</c><00:28:25.760><c> be</c><00:28:25.919><c> in</c>

00:28:26.070 --> 00:28:26.080 align:start position:0%
newsletter. The link to that will be in
 

00:28:26.080 --> 00:28:27.750 align:start position:0%
newsletter. The link to that will be in
the<00:28:26.240><c> description</c><00:28:26.720><c> below.</c><00:28:27.360><c> Thanks</c><00:28:27.600><c> for</c>

00:28:27.750 --> 00:28:27.760 align:start position:0%
the description below. Thanks for
 

00:28:27.760 --> 00:28:29.750 align:start position:0%
the description below. Thanks for
watching<00:28:28.159><c> and</c><00:28:28.480><c> I'll</c><00:28:28.799><c> see</c><00:28:28.960><c> you</c><00:28:29.200><c> in</c><00:28:29.440><c> the</c><00:28:29.600><c> next</c>

00:28:29.750 --> 00:28:29.760 align:start position:0%
watching and I'll see you in the next
 

00:28:29.760 --> 00:28:32.080 align:start position:0%
watching and I'll see you in the next
one.

