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So,<00:00:00.480><c> looks</c><00:00:00.719><c> like</c><00:00:00.880><c> we</c><00:00:01.120><c> just</c><00:00:01.360><c> got</c><00:00:01.600><c> flashed</c><00:00:02.080><c> by</c>

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So, looks like we just got flashed by
 

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So, looks like we just got flashed by
Google<00:00:02.800><c> DeepMind</c><00:00:03.274><c> [music]</c><00:00:03.600><c> once</c><00:00:03.919><c> again</c>

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Google DeepMind [music] once again
 

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Google DeepMind [music] once again
because<00:00:04.960><c> they</c><00:00:05.200><c> just</c><00:00:05.359><c> dropped</c><00:00:05.680><c> Gemini</c><00:00:06.160><c> 3.7</c>

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because they just dropped Gemini 3.7
 

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because they just dropped Gemini 3.7
Flash<00:00:07.279><c> today.</c><00:00:07.919><c> Yes,</c><00:00:08.240><c> their</c><00:00:08.559><c> newest</c><00:00:08.960><c> model,</c>

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Flash today. Yes, their newest model,
 

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Flash today. Yes, their newest model,
which<00:00:09.679><c> is</c><00:00:09.920><c> once</c><00:00:10.160><c> again</c><00:00:10.400><c> a</c><00:00:10.639><c> Flash</c><00:00:11.040><c> model,</c><00:00:11.360><c> is</c>

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which is once again a Flash model, is
 

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which is once again a Flash model, is
here.<00:00:12.240><c> And</c><00:00:12.400><c> this</c><00:00:12.639><c> is</c><00:00:12.800><c> only</c><00:00:13.120><c> after</c><00:00:13.519><c> 3</c><00:00:13.759><c> weeks</c>

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here. And this is only after 3 weeks
 

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here. And this is only after 3 weeks
since<00:00:14.559><c> Gemini</c><00:00:15.120><c> 3.6</c><00:00:15.920><c> Flash.</c><00:00:16.720><c> And</c><00:00:16.880><c> what</c><00:00:17.119><c> they</c>

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since Gemini 3.6 Flash. And what they
 

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since Gemini 3.6 Flash. And what they
are<00:00:17.520><c> saying</c><00:00:17.760><c> is</c><00:00:17.920><c> that</c><00:00:18.240><c> Gemini</c><00:00:18.720><c> 3.7</c><00:00:19.439><c> Flash</c><00:00:19.760><c> is</c>

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are saying is that Gemini 3.7 Flash is
 

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are saying is that Gemini 3.7 Flash is
their<00:00:20.240><c> most</c><00:00:20.560><c> intelligent</c><00:00:21.359><c> workhorse</c><00:00:22.000><c> model.</c>

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their most intelligent workhorse model.
 

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their most intelligent workhorse model.
And<00:00:22.960><c> this</c><00:00:23.199><c> is</c><00:00:23.359><c> coming</c><00:00:23.680><c> 3</c><00:00:23.920><c> weeks</c><00:00:24.160><c> after</c><00:00:24.640><c> 3.6</c><00:00:25.119><c> six</c>

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And this is coming 3 weeks after 3.6 six
 

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And this is coming 3 weeks after 3.6 six
flash<00:00:25.760><c> because</c><00:00:26.160><c> of</c><00:00:26.400><c> developer</c><00:00:26.960><c> feedback</c><00:00:27.519><c> and</c>

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flash because of developer feedback and
 

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flash because of developer feedback and
algorithmic<00:00:28.560><c> innovations.</c><00:00:29.920><c> And</c><00:00:30.080><c> that</c><00:00:30.240><c> is</c><00:00:30.320><c> why</c>

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algorithmic innovations. And that is why
 

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algorithmic innovations. And that is why
they're<00:00:30.720><c> saying</c><00:00:30.800><c> the</c><00:00:30.960><c> Gemini</c><00:00:31.359><c> 3.7</c><00:00:32.079><c> Flash</c>

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they're saying the Gemini 3.7 Flash
 

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they're saying the Gemini 3.7 Flash
model<00:00:32.880><c> is,</c><00:00:33.200><c> you</c><00:00:33.280><c> know,</c><00:00:33.440><c> out</c><00:00:33.680><c> with</c><00:00:33.920><c> so</c><00:00:34.160><c> much</c>

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model is, you know, out with so much
 

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model is, you know, out with so much
improvement<00:00:35.200><c> cuz</c><00:00:35.440><c> if</c><00:00:35.600><c> we</c><00:00:35.680><c> take</c><00:00:35.760><c> a</c><00:00:35.840><c> look</c><00:00:35.920><c> at</c><00:00:36.079><c> the</c>

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improvement cuz if we take a look at the
 

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improvement cuz if we take a look at the
benchmarks,<00:00:36.800><c> this</c><00:00:36.960><c> model</c><00:00:37.360><c> is</c><00:00:38.000><c> way</c><00:00:38.239><c> better</c>

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benchmarks, this model is way better
 

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benchmarks, this model is way better
than<00:00:38.559><c> the</c><00:00:38.719><c> Gemini</c><00:00:39.200><c> 3.6</c><00:00:39.840><c> Flash.</c><00:00:40.719><c> But</c><00:00:40.879><c> I</c><00:00:41.120><c> think</c>

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than the Gemini 3.6 Flash. But I think
 

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than the Gemini 3.6 Flash. But I think
this<00:00:41.600><c> is</c><00:00:41.840><c> also</c><00:00:42.160><c> because</c><00:00:42.399><c> we</c><00:00:42.640><c> know</c><00:00:42.879><c> internally</c>

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this is also because we know internally
 

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this is also because we know internally
that<00:00:43.680><c> they're</c><00:00:44.000><c> planning</c><00:00:44.239><c> on</c><00:00:44.480><c> cancelelling</c>

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that they're planning on cancelelling
 

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that they're planning on cancelelling
Gemini<00:00:45.360><c> 3.5</c><00:00:46.160><c> Pro</c><00:00:46.559><c> completely</c><00:00:47.440><c> and</c><00:00:47.760><c> working</c><00:00:48.000><c> on</c>

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Gemini 3.5 Pro completely and working on
 

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Gemini 3.5 Pro completely and working on
Gemini<00:00:48.719><c> 4</c><00:00:48.960><c> at</c><00:00:49.200><c> the</c><00:00:49.360><c> moment.</c><00:00:49.840><c> So</c><00:00:50.000><c> maybe</c><00:00:50.239><c> the</c>

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Gemini 4 at the moment. So maybe the
 

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Gemini 4 at the moment. So maybe the
improvements<00:00:50.879><c> they</c><00:00:51.120><c> made</c><00:00:51.280><c> with</c><00:00:51.440><c> the</c><00:00:51.600><c> Pro</c>

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improvements they made with the Pro
 

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improvements they made with the Pro
model<00:00:52.320><c> that</c><00:00:52.559><c> they're</c><00:00:52.800><c> not</c><00:00:53.039><c> going</c><00:00:53.199><c> to</c><00:00:53.360><c> be</c>

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model that they're not going to be
 

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model that they're not going to be
dropping<00:00:53.920><c> anymore.</c><00:00:54.640><c> Maybe</c><00:00:54.879><c> they</c><00:00:55.120><c> repackaged</c>

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dropping anymore. Maybe they repackaged
 

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dropping anymore. Maybe they repackaged
it<00:00:56.000><c> as</c><00:00:56.160><c> a</c><00:00:56.320><c> flash</c><00:00:56.719><c> model</c><00:00:57.039><c> because</c><00:00:57.680><c> this</c><00:00:58.000><c> model</c>

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it as a flash model because this model
 

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it as a flash model because this model
is<00:00:58.559><c> better</c><00:00:58.800><c> than</c><00:00:59.199><c> 3.6</c><00:01:00.000><c> and</c><00:01:00.239><c> if</c><00:01:00.559><c> the</c><00:01:00.800><c> timeline</c>

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is better than 3.6 and if the timeline
 

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is better than 3.6 and if the timeline
is<00:01:01.440><c> three</c><00:01:01.680><c> weeks</c><00:01:02.000><c> plus</c><00:01:02.239><c> they're</c><00:01:02.559><c> planning</c><00:01:02.879><c> on</c>

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is three weeks plus they're planning on
 

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is three weeks plus they're planning on
cancelling<00:01:03.680><c> the</c><00:01:03.840><c> 3.5</c><00:01:04.479><c> Pro,</c><00:01:05.040><c> it's</c><00:01:05.360><c> quite</c>

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cancelling the 3.5 Pro, it's quite
 

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cancelling the 3.5 Pro, it's quite
likely<00:01:05.840><c> that</c><00:01:06.080><c> is</c><00:01:06.240><c> the</c><00:01:06.479><c> case.</c><00:01:07.119><c> We'll</c><00:01:07.360><c> just</c>

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likely that is the case. We'll just
 

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likely that is the case. We'll just
ignore<00:01:07.760><c> that</c><00:01:07.920><c> and</c><00:01:08.080><c> put</c><00:01:08.159><c> that</c><00:01:08.320><c> into</c><00:01:08.560><c> the</c><00:01:08.799><c> side.</c>

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ignore that and put that into the side.
 

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ignore that and put that into the side.
We<00:01:09.280><c> don't</c><00:01:09.439><c> know</c><00:01:09.520><c> when</c><00:01:09.760><c> we're</c><00:01:09.920><c> getting</c><00:01:10.080><c> a</c><00:01:10.320><c> new</c>

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We don't know when we're getting a new
 

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We don't know when we're getting a new
Pro<00:01:10.720><c> model</c><00:01:10.960><c> from</c><00:01:11.200><c> the</c><00:01:11.360><c> Google</c><00:01:11.600><c> Deep</c><00:01:11.840><c> Mind</c>

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Pro model from the Google Deep Mind
 

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Pro model from the Google Deep Mind
team,<00:01:12.560><c> but</c><00:01:12.799><c> this</c><00:01:13.040><c> model</c><00:01:13.520><c> across</c><00:01:13.920><c> many</c><00:01:14.159><c> of</c><00:01:14.240><c> the</c>

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team, but this model across many of the
 

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team, but this model across many of the
benchmarks<00:01:15.040><c> we</c><00:01:15.200><c> will</c><00:01:15.439><c> see</c><00:01:16.000><c> that</c><00:01:16.320><c> yes,</c><00:01:16.640><c> it</c><00:01:16.880><c> is</c>

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benchmarks we will see that yes, it is
 

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benchmarks we will see that yes, it is
stronger<00:01:17.439><c> than</c><00:01:17.680><c> the</c><00:01:17.920><c> 3.6</c><00:01:18.720><c> Flash</c><00:01:19.119><c> model.</c><00:01:19.759><c> For</c>

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stronger than the 3.6 Flash model. For
 

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stronger than the 3.6 Flash model. For
example,<00:01:20.320><c> when</c><00:01:20.479><c> it</c><00:01:20.640><c> comes</c><00:01:20.799><c> to</c><00:01:20.960><c> code</c><00:01:21.280><c> quality,</c>

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example, when it comes to code quality,
 

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example, when it comes to code quality,
production<00:01:22.320><c> code</c><00:01:22.640><c> quality,</c><00:01:23.280><c> the</c><00:01:23.520><c> model</c><00:01:23.840><c> is</c>

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production code quality, the model is
 

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production code quality, the model is
producing<00:01:24.640><c> 43.6%</c>

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producing 43.6%
 

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producing 43.6%
versus<00:01:26.640><c> the</c><00:01:27.200><c> flash</c><00:01:27.600><c> model</c><00:01:27.920><c> 34.4%.</c>

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versus the flash model 34.4%.
 

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versus the flash model 34.4%.
And<00:01:29.840><c> then</c><00:01:30.080><c> Sonet</c><00:01:30.640><c> 5</c><00:01:30.960><c> is</c><00:01:31.439><c> at</c><00:01:31.759><c> 42.7%</c>

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And then Sonet 5 is at 42.7%
 

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And then Sonet 5 is at 42.7%
and<00:01:33.759><c> the</c><00:01:33.920><c> Terra</c><00:01:34.320><c> model</c><00:01:34.640><c> is</c><00:01:34.880><c> at</c><00:01:35.280><c> 41.3%.</c>

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and the Terra model is at 41.3%.
 

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and the Terra model is at 41.3%.
So,<00:01:37.040><c> one</c><00:01:37.280><c> thing</c><00:01:37.439><c> to</c><00:01:37.680><c> remember,</c><00:01:38.240><c> since</c><00:01:38.479><c> this</c><00:01:38.720><c> is</c>

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So, one thing to remember, since this is
 

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So, one thing to remember, since this is
a<00:01:38.960><c> flash</c><00:01:39.360><c> model,</c><00:01:39.680><c> you're</c><00:01:39.840><c> not</c><00:01:40.000><c> going</c><00:01:40.000><c> to</c><00:01:40.079><c> see</c>

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a flash model, you're not going to see
 

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a flash model, you're not going to see
them<00:01:40.400><c> compare</c><00:01:40.720><c> this</c><00:01:40.880><c> to</c><00:01:41.040><c> Opus</c><00:01:41.439><c> 5</c><00:01:41.680><c> or</c><00:01:41.840><c> any</c><00:01:42.000><c> of</c>

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them compare this to Opus 5 or any of
 

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them compare this to Opus 5 or any of
the<00:01:42.320><c> other</c><00:01:42.640><c> stronger</c><00:01:43.119><c> models.</c><00:01:43.759><c> The</c><00:01:44.000><c> reason</c>

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the other stronger models. The reason
 

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the other stronger models. The reason
being<00:01:44.720><c> cuz</c><00:01:44.960><c> this</c><00:01:45.119><c> is</c><00:01:45.360><c> not</c><00:01:45.520><c> their</c><00:01:45.840><c> strongest</c>

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being cuz this is not their strongest
 

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being cuz this is not their strongest
tier.<00:01:46.960><c> and</c><00:01:47.200><c> the</c><00:01:47.360><c> 3.1</c><00:01:48.079><c> Pro</c><00:01:48.399><c> model</c><00:01:48.640><c> when</c><00:01:48.880><c> they</c>

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tier. and the 3.1 Pro model when they
 

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tier. and the 3.1 Pro model when they
finally<00:01:49.439><c> decide</c><00:01:49.759><c> to</c><00:01:50.079><c> upgrade</c><00:01:50.399><c> it</c><00:01:50.640><c> to</c><00:01:50.799><c> Gemini</c><00:01:51.360><c> 4</c>

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finally decide to upgrade it to Gemini 4
 

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finally decide to upgrade it to Gemini 4
Pro,<00:01:52.960><c> then</c><00:01:53.200><c> we'll</c><00:01:53.360><c> see</c><00:01:53.520><c> it</c><00:01:53.680><c> being</c><00:01:53.920><c> compared</c><00:01:54.240><c> to</c>

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Pro, then we'll see it being compared to
 

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Pro, then we'll see it being compared to
Opus<00:01:54.880><c> 5</c><00:01:55.040><c> or</c><00:01:55.280><c> GPT</c><00:01:55.840><c> 5.6</c><00:01:56.399><c> Soul.</c><00:01:57.040><c> But</c><00:01:57.200><c> anyways,</c><00:01:57.680><c> we</c>

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Opus 5 or GPT 5.6 Soul. But anyways, we
 

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Opus 5 or GPT 5.6 Soul. But anyways, we
can<00:01:58.079><c> see</c><00:01:58.159><c> that</c><00:01:58.399><c> this</c><00:01:58.640><c> model</c><00:01:58.880><c> is</c><00:01:59.040><c> an</c>

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can see that this model is an
 

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can see that this model is an
improvement<00:01:59.600><c> from</c><00:01:59.920><c> 3.6</c><00:02:00.640><c> Flash</c><00:02:01.040><c> and</c><00:02:01.280><c> I</c><00:02:01.439><c> would</c>

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improvement from 3.6 Flash and I would
 

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improvement from 3.6 Flash and I would
say<00:02:01.680><c> that's</c><00:02:02.079><c> basically</c><00:02:03.280><c> the</c><00:02:03.680><c> biggest</c><00:02:04.159><c> result</c>

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say that's basically the biggest result
 

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say that's basically the biggest result
or<00:02:04.880><c> the</c><00:02:05.040><c> biggest</c><00:02:05.360><c> update</c><00:02:05.680><c> that</c><00:02:05.920><c> we</c><00:02:06.079><c> saw</c><00:02:06.240><c> with</c>

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or the biggest update that we saw with
 

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or the biggest update that we saw with
the<00:02:06.640><c> new</c><00:02:06.799><c> model</c><00:02:07.439><c> because</c><00:02:07.680><c> it</c><00:02:08.000><c> does</c><00:02:08.160><c> not</c><00:02:08.319><c> really</c>

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the new model because it does not really
 

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the new model because it does not really
like<00:02:08.879><c> change</c><00:02:09.119><c> up</c><00:02:09.440><c> things</c><00:02:09.679><c> a</c><00:02:09.920><c> lot</c><00:02:10.160><c> is</c><00:02:10.479><c> still</c>

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like change up things a lot is still
 

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like change up things a lot is still
like<00:02:10.959><c> not</c><00:02:11.200><c> becoming</c><00:02:11.599><c> the</c><00:02:11.840><c> number</c><00:02:12.000><c> one</c><00:02:12.319><c> model</c>

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like not becoming the number one model
 

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like not becoming the number one model
or<00:02:12.800><c> the</c><00:02:12.959><c> number</c><00:02:13.200><c> one</c><00:02:13.440><c> flash</c><00:02:13.840><c> model.</c><00:02:14.480><c> Even</c><00:02:14.800><c> on</c>

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or the number one flash model. Even on
 

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or the number one flash model. Even on
some<00:02:15.280><c> benchmarks,</c><00:02:15.920><c> Deepseek</c><00:02:16.560><c> version</c><00:02:16.879><c> 4</c>

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some benchmarks, Deepseek version 4
 

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some benchmarks, Deepseek version 4
flash<00:02:17.680><c> is</c><00:02:18.000><c> actually</c><00:02:18.800><c> cheaper</c><00:02:19.280><c> and</c><00:02:19.680><c> more</c>

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flash is actually cheaper and more
 

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flash is actually cheaper and more
intelligent<00:02:20.480><c> than</c><00:02:20.720><c> this</c><00:02:21.040><c> model.</c><00:02:21.760><c> But</c><00:02:21.920><c> let's</c>

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intelligent than this model. But let's
 

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intelligent than this model. But let's
just<00:02:22.319><c> take</c><00:02:22.480><c> a</c><00:02:22.560><c> look</c><00:02:22.720><c> at</c><00:02:22.800><c> the</c><00:02:22.959><c> benchmarks</c><00:02:23.440><c> that</c>

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just take a look at the benchmarks that
 

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just take a look at the benchmarks that
they<00:02:23.840><c> have</c><00:02:24.080><c> published.</c><00:02:24.800><c> On</c><00:02:25.040><c> Long</c><00:02:25.360><c> Horizon</c>

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they have published. On Long Horizon
 

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they have published. On Long Horizon
software<00:02:26.160><c> engineering,</c><00:02:27.040><c> this</c><00:02:27.280><c> model</c><00:02:27.599><c> is</c><00:02:27.840><c> a</c>

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software engineering, this model is a
 

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software engineering, this model is a
little<00:02:28.160><c> bit</c><00:02:28.319><c> behind</c><00:02:28.800><c> GPT</c><00:02:29.360><c> 5.6</c><00:02:30.080><c> Terra,</c><00:02:30.640><c> which</c>

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little bit behind GPT 5.6 Terra, which
 

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little bit behind GPT 5.6 Terra, which
sits<00:02:31.200><c> at</c><00:02:31.440><c> 69.6%</c>

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sits at 69.6%
 

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sits at 69.6%
and<00:02:33.120><c> then</c><00:02:33.440><c> 65.3%</c><00:02:34.720><c> is</c><00:02:34.959><c> the</c><00:02:35.120><c> Flash</c><00:02:35.440><c> model.</c><00:02:36.160><c> The</c>

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and then 65.3% is the Flash model. The
 

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and then 65.3% is the Flash model. The
older<00:02:36.800><c> Flash</c><00:02:37.120><c> model</c><00:02:37.519><c> 3.6</c><00:02:38.560><c> sits</c><00:02:38.800><c> at</c><00:02:39.040><c> 48.6%.</c>

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older Flash model 3.6 sits at 48.6%.
 

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older Flash model 3.6 sits at 48.6%.
Sonic<00:02:41.200><c> 5</c><00:02:41.440><c> sits</c><00:02:41.760><c> at</c><00:02:41.920><c> 53.8%</c><00:02:42.720><c> 8%.</c><00:02:43.360><c> And</c><00:02:43.519><c> the</c><00:02:43.760><c> new</c>

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Sonic 5 sits at 53.8% 8%. And the new
 

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Sonic 5 sits at 53.8% 8%. And the new
player<00:02:44.319><c> that</c><00:02:44.560><c> is</c><00:02:44.800><c> finally</c><00:02:45.120><c> being</c><00:02:45.360><c> included</c><00:02:45.840><c> on</c>

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player that is finally being included on
 

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player that is finally being included on
benchmarks,<00:02:47.120><c> which</c><00:02:47.360><c> even</c><00:02:47.599><c> the</c><00:02:47.760><c> Google</c>

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benchmarks, which even the Google
 

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benchmarks, which even the Google
DeepMind<00:02:48.480><c> team</c><00:02:48.720><c> is</c><00:02:48.959><c> considering</c><00:02:49.360><c> with</c><00:02:49.599><c> their</c>

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DeepMind team is considering with their
 

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DeepMind team is considering with their
launch,<00:02:50.160><c> is</c><00:02:50.400><c> Muse</c><00:02:50.720><c> Spark</c><00:02:51.120><c> 1.2,</c><00:02:52.080><c> which</c><00:02:52.319><c> is</c>

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launch, is Muse Spark 1.2, which is
 

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launch, is Muse Spark 1.2, which is
sitting<00:02:52.720><c> at</c><00:02:52.959><c> 54.9%.</c>

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sitting at 54.9%.
 

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sitting at 54.9%.
So,<00:02:54.879><c> welcome</c><00:02:55.280><c> Meta</c><00:02:55.680><c> to</c><00:02:55.840><c> the</c><00:02:56.000><c> benchmark</c><00:02:56.959><c> charts</c>

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So, welcome Meta to the benchmark charts
 

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So, welcome Meta to the benchmark charts
because<00:02:57.920><c> now</c><00:02:58.319><c> we're</c><00:02:58.560><c> starting</c><00:02:58.800><c> to</c><00:02:58.959><c> see</c><00:02:59.120><c> it</c>

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because now we're starting to see it
 

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because now we're starting to see it
appear<00:02:59.599><c> on</c><00:02:59.840><c> more</c><00:03:00.000><c> and</c><00:03:00.160><c> more</c><00:03:00.319><c> benchmarks.</c><00:03:01.360><c> And</c>

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appear on more and more benchmarks. And
 

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appear on more and more benchmarks. And
if<00:03:01.599><c> we</c><00:03:01.760><c> also</c><00:03:02.000><c> take</c><00:03:02.080><c> a</c><00:03:02.239><c> look</c><00:03:02.319><c> at</c><00:03:02.560><c> web</c>

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if we also take a look at web
 

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if we also take a look at web
development,<00:03:03.680><c> this</c><00:03:03.840><c> model</c><00:03:04.239><c> is</c><00:03:04.560><c> getting</c><00:03:04.800><c> a</c><00:03:04.959><c> ELO</c>

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development, this model is getting a ELO
 

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development, this model is getting a ELO
score<00:03:05.599><c> of</c><00:03:05.920><c> 1588</c><00:03:06.720><c> versus</c><00:03:07.120><c> their</c><00:03:07.360><c> old</c><00:03:07.599><c> model</c><00:03:07.920><c> is</c>

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score of 1588 versus their old model is
 

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score of 1588 versus their old model is
1538.<00:03:08.879><c> So,</c><00:03:09.040><c> not</c><00:03:09.200><c> a</c><00:03:09.360><c> crazy</c><00:03:09.680><c> difference,</c><00:03:10.000><c> but</c>

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1538. So, not a crazy difference, but
 

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1538. So, not a crazy difference, but
compared<00:03:10.640><c> to</c><00:03:10.800><c> everything</c><00:03:11.120><c> else</c><00:03:11.360><c> out</c><00:03:11.519><c> there,</c>

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compared to everything else out there,
 

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compared to everything else out there,
this<00:03:12.000><c> is</c><00:03:12.159><c> number</c><00:03:12.400><c> one.</c><00:03:12.879><c> When</c><00:03:13.040><c> I</c><00:03:13.200><c> say</c>

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this is number one. When I say
 

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this is number one. When I say
everything<00:03:13.599><c> else</c><00:03:13.840><c> out</c><00:03:14.080><c> there,</c><00:03:14.319><c> once</c><00:03:14.560><c> again,</c>

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everything else out there, once again,
 

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everything else out there, once again,
compared<00:03:15.200><c> to</c><00:03:15.360><c> all</c><00:03:15.519><c> the</c><00:03:15.680><c> mid-tier</c><00:03:16.239><c> models,</c>

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compared to all the mid-tier models,
 

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compared to all the mid-tier models,
this<00:03:16.879><c> is</c><00:03:17.200><c> beating</c><00:03:17.760><c> all</c><00:03:17.920><c> of</c><00:03:18.080><c> them</c><00:03:18.319><c> when</c><00:03:18.560><c> it</c>

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this is beating all of them when it
 

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this is beating all of them when it
comes<00:03:18.800><c> to</c><00:03:18.959><c> web</c><00:03:19.280><c> development.</c><00:03:20.159><c> Now,</c><00:03:20.400><c> this</c>

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comes to web development. Now, this
 

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comes to web development. Now, this
model<00:03:20.959><c> is</c><00:03:21.120><c> probably</c><00:03:21.360><c> going</c><00:03:21.519><c> to</c><00:03:21.599><c> be</c><00:03:21.840><c> used</c><00:03:22.080><c> in</c>

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model is probably going to be used in
 

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model is probably going to be used in
enterprises<00:03:23.200><c> a</c><00:03:23.360><c> lot</c><00:03:23.519><c> just</c><00:03:23.760><c> because</c><00:03:23.920><c> of</c>

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enterprises a lot just because of
 

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enterprises a lot just because of
Google's<00:03:24.640><c> footprint</c><00:03:25.040><c> in</c><00:03:25.280><c> the</c><00:03:25.440><c> enterprise</c>

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Google's footprint in the enterprise
 

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Google's footprint in the enterprise
space,<00:03:26.480><c> but</c><00:03:26.720><c> we</c><00:03:26.959><c> are</c><00:03:27.120><c> seeing</c><00:03:27.280><c> this</c><00:03:27.519><c> model</c>

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space, but we are seeing this model
 

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space, but we are seeing this model
achieve<00:03:28.720><c> on</c><00:03:28.959><c> the</c><00:03:29.120><c> automation</c><00:03:29.680><c> bench</c><00:03:30.080><c> 30.4%.</c>

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achieve on the automation bench 30.4%.
 

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achieve on the automation bench 30.4%.
And<00:03:31.840><c> GPT</c><00:03:32.319><c> 5.6</c><00:03:32.959><c> Terra</c><00:03:33.360><c> sits</c><00:03:33.599><c> at</c><00:03:33.840><c> 23.6%.</c>

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And GPT 5.6 Terra sits at 23.6%.
 

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And GPT 5.6 Terra sits at 23.6%.
So,<00:03:35.680><c> yes,</c><00:03:36.000><c> this</c><00:03:36.159><c> model</c><00:03:36.400><c> is</c><00:03:36.640><c> stronger</c><00:03:37.040><c> than</c><00:03:37.360><c> the</c>

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So, yes, this model is stronger than the
 

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So, yes, this model is stronger than the
other<00:03:37.920><c> Flash</c><00:03:38.319><c> models</c><00:03:38.640><c> out</c><00:03:38.799><c> there,</c><00:03:39.200><c> but</c><00:03:39.440><c> as</c><00:03:39.599><c> I</c>

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other Flash models out there, but as I
 

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other Flash models out there, but as I
said,<00:03:39.920><c> they</c><00:03:40.159><c> haven't</c><00:03:40.400><c> included</c><00:03:40.879><c> Deepseek</c>

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said, they haven't included Deepseek
 

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said, they haven't included Deepseek
version<00:03:41.680><c> for</c><00:03:41.920><c> Flash</c><00:03:42.319><c> because</c><00:03:42.560><c> if</c><00:03:42.720><c> they</c><00:03:42.959><c> do,</c><00:03:43.360><c> in</c>

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version for Flash because if they do, in
 

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version for Flash because if they do, in
some<00:03:43.840><c> areas,</c><00:03:44.239><c> that</c><00:03:44.480><c> model</c><00:03:44.720><c> is</c><00:03:44.959><c> actually</c><00:03:45.200><c> quite</c>

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some areas, that model is actually quite
 

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some areas, that model is actually quite
better<00:03:45.680><c> than</c><00:03:45.840><c> the</c><00:03:46.080><c> 3.7</c><00:03:46.799><c> Flash</c><00:03:47.120><c> model.</c><00:03:48.159><c> Before</c>

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better than the 3.7 Flash model. Before
 

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better than the 3.7 Flash model. Before
we<00:03:48.720><c> continue,</c><00:03:49.360><c> if</c><00:03:49.599><c> you're</c><00:03:49.760><c> building</c><00:03:50.000><c> AI</c>

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we continue, if you're building AI
 

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we continue, if you're building AI
agents<00:03:50.720><c> or</c><00:03:51.040><c> just</c><00:03:51.200><c> messing</c><00:03:51.519><c> around</c><00:03:51.680><c> with</c><00:03:51.920><c> them,</c>

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agents or just messing around with them,
 

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agents or just messing around with them,
Arcade<00:03:53.040><c> is</c><00:03:53.200><c> worth</c><00:03:53.519><c> knowing</c><00:03:53.760><c> about.</c><00:03:54.400><c> It's</c><00:03:54.560><c> the</c>

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Arcade is worth knowing about. It's the
 

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Arcade is worth knowing about. It's the
runtime<00:03:55.120><c> that</c><00:03:55.280><c> lets</c><00:03:55.519><c> your</c><00:03:55.680><c> agent</c><00:03:56.159><c> actually</c><00:03:56.560><c> do</c>

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runtime that lets your agent actually do
 

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runtime that lets your agent actually do
things<00:03:57.120><c> instead</c><00:03:57.439><c> of</c><00:03:57.599><c> just</c><00:03:57.840><c> talking</c><00:03:58.080><c> about</c>

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things instead of just talking about
 

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things instead of just talking about
them<00:03:59.040><c> because</c><00:03:59.280><c> that's</c><00:03:59.519><c> the</c><00:03:59.680><c> gap</c><00:04:00.000><c> right</c><00:04:00.159><c> now.</c>

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them because that's the gap right now.
 

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them because that's the gap right now.
The<00:04:00.799><c> models</c><00:04:01.200><c> are</c><00:04:01.439><c> smart</c><00:04:01.680><c> enough.</c><00:04:02.239><c> Your</c><00:04:02.480><c> agent</c>

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The models are smart enough. Your agent
 

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The models are smart enough. Your agent
can<00:04:03.040><c> figure</c><00:04:03.200><c> out</c><00:04:03.439><c> exactly</c><00:04:04.000><c> what</c><00:04:04.319><c> needs</c><00:04:04.560><c> to</c>

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can figure out exactly what needs to
 

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can figure out exactly what needs to
happen<00:04:04.879><c> in</c><00:04:05.120><c> your</c><00:04:05.360><c> email,</c><00:04:05.760><c> your</c><00:04:05.920><c> Slack,</c><00:04:06.400><c> your</c>

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happen in your email, your Slack, your
 

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happen in your email, your Slack, your
CRM.<00:04:07.439><c> It</c><00:04:07.680><c> just</c><00:04:07.920><c> can't</c><00:04:08.239><c> go</c><00:04:08.400><c> in</c><00:04:08.640><c> and</c><00:04:08.879><c> do</c><00:04:09.040><c> it.</c><00:04:09.519><c> And</c>

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CRM. It just can't go in and do it. And
 

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CRM. It just can't go in and do it. And
the<00:04:09.840><c> reason</c><00:04:10.080><c> isn't</c><00:04:10.480><c> intelligence,</c><00:04:11.200><c> it's</c>

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the reason isn't intelligence, it's
 

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the reason isn't intelligence, it's
permissions.<00:04:12.560><c> Something</c><00:04:12.879><c> has</c><00:04:13.040><c> to</c><00:04:13.200><c> prove</c><00:04:13.439><c> the</c>

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permissions. Something has to prove the
 

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permissions. Something has to prove the
agent<00:04:14.000><c> is</c><00:04:14.239><c> allowed</c><00:04:14.480><c> to</c><00:04:14.640><c> act</c><00:04:14.879><c> on</c><00:04:15.040><c> behalf</c><00:04:15.360><c> of</c><00:04:15.519><c> a</c>

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agent is allowed to act on behalf of a
 

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agent is allowed to act on behalf of a
specific<00:04:16.239><c> person</c><00:04:16.720><c> in</c><00:04:17.040><c> a</c><00:04:17.199><c> specific</c><00:04:17.680><c> account.</c>

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specific person in a specific account.
 

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specific person in a specific account.
That's<00:04:18.799><c> the</c><00:04:18.959><c> messy</c><00:04:19.359><c> part</c><00:04:19.600><c> everyone</c><00:04:20.000><c> runs</c>

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That's the messy part everyone runs
 

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That's the messy part everyone runs
into,<00:04:20.720><c> and</c><00:04:20.959><c> it's</c><00:04:21.199><c> the</c><00:04:21.359><c> partit</c><00:04:22.160><c> actually</c>

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into, and it's the partit actually
 

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into, and it's the partit actually
handles<00:04:22.880><c> for</c><00:04:23.040><c> you.</c><00:04:23.520><c> So</c><00:04:23.759><c> instead</c><00:04:24.000><c> of</c><00:04:24.160><c> your</c>

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handles for you. So instead of your
 

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handles for you. So instead of your
agent<00:04:24.639><c> using</c><00:04:24.960><c> one</c><00:04:25.280><c> shared</c><00:04:25.600><c> login</c><00:04:26.000><c> for</c>

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agent using one shared login for
 

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agent using one shared login for
everybody,<00:04:26.960><c> it</c><00:04:27.120><c> acts</c><00:04:27.360><c> as</c><00:04:27.600><c> whoever</c><00:04:27.919><c> is</c>

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everybody, it acts as whoever is
 

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everybody, it acts as whoever is
actually<00:04:28.560><c> signed</c><00:04:28.880><c> in</c><00:04:29.280><c> with</c><00:04:29.600><c> exactly</c><00:04:30.000><c> the</c>

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actually signed in with exactly the
 

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actually signed in with exactly the
access<00:04:30.639><c> that</c><00:04:30.960><c> person</c><00:04:31.280><c> has.</c><00:04:32.000><c> If</c><00:04:32.160><c> they</c><00:04:32.400><c> can't</c>

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access that person has. If they can't
 

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access that person has. If they can't
see<00:04:32.800><c> something,</c><00:04:33.440><c> the</c><00:04:33.680><c> agent</c><00:04:34.000><c> can't</c><00:04:34.320><c> either.</c>

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see something, the agent can't either.
 

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see something, the agent can't either.
And<00:04:35.040><c> you</c><00:04:35.199><c> never</c><00:04:35.440><c> have</c><00:04:35.600><c> to</c><00:04:35.759><c> touch</c><00:04:36.000><c> any</c><00:04:36.160><c> of</c><00:04:36.320><c> that</c>

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And you never have to touch any of that
 

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And you never have to touch any of that
setup<00:04:36.880><c> yourself.</c><00:04:37.600><c> Then</c><00:04:37.919><c> there's</c><00:04:38.080><c> the</c><00:04:38.320><c> tools.</c>

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setup yourself. Then there's the tools.
 

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setup yourself. Then there's the tools.
Arcade<00:04:39.440><c> has</c><00:04:39.680><c> thousands</c><00:04:40.080><c> of</c><00:04:40.240><c> them</c><00:04:40.479><c> already</c>

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Arcade has thousands of them already
 

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Arcade has thousands of them already
built<00:04:41.040><c> for</c><00:04:41.280><c> Gmail,</c><00:04:41.840><c> Google</c><00:04:42.080><c> Drive,</c><00:04:42.560><c> Slack,</c>

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built for Gmail, Google Drive, Slack,
 

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built for Gmail, Google Drive, Slack,
Notion,<00:04:43.680><c> Salesforce,</c><00:04:44.720><c> most</c><00:04:44.880><c> of</c><00:04:45.040><c> the</c><00:04:45.199><c> apps</c>

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Notion, Salesforce, most of the apps
 

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Notion, Salesforce, most of the apps
people<00:04:45.840><c> already</c><00:04:46.160><c> work</c><00:04:46.400><c> in,</c><00:04:46.800><c> and</c><00:04:47.040><c> they</c><00:04:47.280><c> are</c>

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people already work in, and they are
 

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people already work in, and they are
built<00:04:47.680><c> specifically</c><00:04:48.160><c> for</c><00:04:48.400><c> AI</c><00:04:48.800><c> to</c><00:04:48.960><c> use.</c><00:04:49.440><c> So</c><00:04:49.600><c> the</c>

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built specifically for AI to use. So the
 

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built specifically for AI to use. So the
agent<00:04:50.080><c> gets</c><00:04:50.320><c> it</c><00:04:50.560><c> right</c><00:04:50.720><c> the</c><00:04:50.960><c> first</c><00:04:51.199><c> time</c>

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agent gets it right the first time
 

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agent gets it right the first time
instead<00:04:51.759><c> of</c><00:04:51.919><c> guessing</c><00:04:52.240><c> and</c><00:04:52.479><c> failing</c><00:04:52.800><c> and</c>

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instead of guessing and failing and
 

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instead of guessing and failing and
retrying.<00:04:53.840><c> It</c><00:04:54.080><c> also</c><00:04:54.320><c> keeps</c><00:04:54.560><c> a</c><00:04:54.720><c> record</c><00:04:54.960><c> of</c>

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retrying. It also keeps a record of
 

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retrying. It also keeps a record of
everything,<00:04:55.840><c> what</c><00:04:56.080><c> the</c><00:04:56.320><c> agent</c><00:04:56.639><c> did,</c><00:04:56.960><c> for</c><00:04:57.199><c> who</c>

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everything, what the agent did, for who
 

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everything, what the agent did, for who
and<00:04:57.759><c> where,</c><00:04:58.240><c> which</c><00:04:58.560><c> matters</c><00:04:58.880><c> a</c><00:04:59.040><c> lot</c><00:04:59.199><c> the</c>

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and where, which matters a lot the
 

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and where, which matters a lot the
moment<00:04:59.680><c> other</c><00:05:00.000><c> people</c><00:05:00.240><c> start</c><00:05:00.479><c> using</c><00:05:00.720><c> the</c>

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moment other people start using the
 

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moment other people start using the
thing<00:05:01.120><c> you</c><00:05:01.280><c> built.</c><00:05:01.840><c> And</c><00:05:02.000><c> it</c><00:05:02.240><c> works</c><00:05:02.400><c> with</c>

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thing you built. And it works with
 

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thing you built. And it works with
whatever<00:05:03.040><c> you're</c><00:05:03.280><c> already</c><00:05:03.600><c> using.</c><00:05:04.240><c> Any</c>

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whatever you're already using. Any
 

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whatever you're already using. Any
model,<00:05:04.960><c> any</c><00:05:05.280><c> framework,</c><00:05:05.919><c> cloud,</c><00:05:06.400><c> cursor,</c>

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model, any framework, cloud, cursor,
 

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model, any framework, cloud, cursor,
chat,<00:05:07.280><c> GPT,</c><00:05:08.080><c> doesn't</c><00:05:08.400><c> matter.</c><00:05:09.039><c> So</c><00:05:09.199><c> you're</c><00:05:09.360><c> not</c>

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chat, GPT, doesn't matter. So you're not
 

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chat, GPT, doesn't matter. So you're not
just<00:05:09.680><c> giving</c><00:05:09.840><c> an</c><00:05:10.080><c> AI</c><00:05:10.400><c> a</c><00:05:10.560><c> list</c><00:05:10.720><c> of</c><00:05:10.880><c> tools</c><00:05:11.120><c> and</c>

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just giving an AI a list of tools and
 

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just giving an AI a list of tools and
[music]<00:05:11.360><c> hoping</c><00:05:11.600><c> it</c><00:05:11.840><c> works.</c><00:05:12.320><c> You're</c><00:05:12.560><c> giving</c>

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[music] hoping it works. You're giving
 

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[music] hoping it works. You're giving
it<00:05:12.880><c> a</c><00:05:13.120><c> place</c><00:05:13.199><c> where</c><00:05:13.440><c> it</c><00:05:13.600><c> can</c><00:05:13.759><c> safely</c><00:05:14.240><c> take</c><00:05:14.479><c> real</c>

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it a place where it can safely take real
 

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it a place where it can safely take real
actions<00:05:15.280><c> in</c><00:05:15.600><c> real</c><00:05:15.840><c> apps.</c><00:05:16.560><c> It's</c><00:05:16.800><c> free</c><00:05:16.960><c> to</c><00:05:17.120><c> start</c>

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actions in real apps. It's free to start
 

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actions in real apps. It's free to start
and<00:05:17.520><c> the</c><00:05:17.759><c> link</c><00:05:17.919><c> is</c><00:05:18.080><c> in</c><00:05:18.240><c> the</c><00:05:18.400><c> description.</c>

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and the link is in the description.
 

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and the link is in the description.
Thank<00:05:19.280><c> you</c><00:05:19.520><c> once</c><00:05:19.759><c> again</c><00:05:19.919><c> for</c><00:05:20.160><c> Arcade</c><00:05:20.639><c> for</c>

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Thank you once again for Arcade for
 

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Thank you once again for Arcade for
sponsoring<00:05:21.280><c> today's</c><00:05:21.680><c> video.</c><00:05:22.240><c> Now,</c><00:05:22.560><c> let's</c><00:05:22.800><c> get</c>

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sponsoring today's video. Now, let's get
 

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sponsoring today's video. Now, let's get
back<00:05:23.120><c> into</c><00:05:23.360><c> the</c><00:05:23.600><c> video.</c><00:05:24.639><c> Now,</c><00:05:24.960><c> one</c><00:05:25.120><c> thing</c><00:05:25.280><c> to</c>

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back into the video. Now, one thing to
 

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back into the video. Now, one thing to
note<00:05:25.680><c> is</c><00:05:25.919><c> that</c><00:05:26.400><c> the</c><00:05:26.639><c> Gemini</c><00:05:27.120><c> 3.7</c><00:05:27.759><c> Flash</c><00:05:28.080><c> model</c>

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note is that the Gemini 3.7 Flash model
 

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note is that the Gemini 3.7 Flash model
through<00:05:28.800><c> the</c><00:05:29.039><c> end</c><00:05:29.120><c> of</c><00:05:29.280><c> this</c><00:05:29.440><c> year,</c><00:05:29.680><c> so</c><00:05:29.919><c> end</c><00:05:30.080><c> of</c>

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through the end of this year, so end of
 

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through the end of this year, so end of
2026,<00:05:31.520><c> they</c><00:05:31.840><c> have</c><00:05:32.000><c> a</c><00:05:32.320><c> cheap</c><00:05:32.720><c> pricing</c><00:05:33.120><c> model</c>

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2026, they have a cheap pricing model
 

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2026, they have a cheap pricing model
that<00:05:33.600><c> they're</c><00:05:33.840><c> placing</c><00:05:34.160><c> on</c><00:05:34.320><c> the</c><00:05:34.560><c> model.</c><00:05:35.280><c> 75</c>

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that they're placing on the model. 75
 

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that they're placing on the model. 75
per<00:05:36.639><c> 1</c><00:05:36.800><c> million</c><00:05:37.120><c> input</c><00:05:37.440><c> tokens</c><00:05:37.840><c> and</c><00:05:38.240><c> $3.75</c><00:05:39.680><c> for</c>

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per 1 million input tokens and $3.75 for
 

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per 1 million input tokens and $3.75 for
1<00:05:40.080><c> million</c><00:05:40.320><c> output</c><00:05:40.639><c> tokens.</c><00:05:41.120><c> So,</c><00:05:41.280><c> it's</c><00:05:41.440><c> a</c>

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1 million output tokens. So, it's a
 

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1 million output tokens. So, it's a
competitive<00:05:42.160><c> price,</c><00:05:42.479><c> but</c><00:05:42.720><c> this</c><00:05:42.960><c> is</c><00:05:43.120><c> only</c><00:05:43.440><c> for</c>

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competitive price, but this is only for
 

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competitive price, but this is only for
the<00:05:43.919><c> next</c><00:05:44.160><c> 6</c><00:05:44.400><c> months.</c><00:05:45.039><c> Because</c><00:05:45.360><c> after</c><00:05:45.680><c> those</c>

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the next 6 months. Because after those
 

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the next 6 months. Because after those
six<00:05:46.240><c> months</c><00:05:46.560><c> are</c><00:05:46.720><c> done,</c><00:05:47.199><c> the</c><00:05:47.440><c> model's</c><00:05:47.840><c> pricing</c>

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six months are done, the model's pricing
 

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six months are done, the model's pricing
is<00:05:48.479><c> actually,</c><00:05:49.199><c> you</c><00:05:49.360><c> know,</c><00:05:49.440><c> a</c><00:05:49.680><c> little</c><00:05:49.840><c> bit</c><00:05:49.919><c> more</c>

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is actually, you know, a little bit more
 

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is actually, you know, a little bit more
expensive.<00:05:50.720><c> And</c><00:05:50.880><c> now</c><00:05:51.120><c> they</c><00:05:51.280><c> show</c><00:05:51.440><c> it</c><00:05:51.600><c> at</c><00:05:51.759><c> the</c>

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expensive. And now they show it at the
 

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expensive. And now they show it at the
bottom<00:05:52.160><c> over</c><00:05:52.479><c> here,</c><00:05:53.120><c> you</c><00:05:53.280><c> can</c><00:05:53.440><c> see</c><00:05:53.600><c> that</c><00:05:54.240><c> after</c>

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bottom over here, you can see that after
 

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bottom over here, you can see that after
starting<00:05:55.120><c> January</c><00:05:55.600><c> of</c><00:05:55.840><c> 2027,</c><00:05:57.199><c> it</c><00:05:57.440><c> will</c><00:05:57.600><c> become</c>

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starting January of 2027, it will become
 

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starting January of 2027, it will become
$1.50<00:05:59.199><c> per</c><00:05:59.440><c> input</c><00:05:59.759><c> and</c><00:06:00.160><c> $7.50</c><00:06:01.120><c> per</c><00:06:01.360><c> output.</c><00:06:02.000><c> So</c>

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$1.50 per input and $7.50 per output. So
 

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$1.50 per input and $7.50 per output. So
yeah,<00:06:02.720><c> it's</c><00:06:03.199><c> still</c><00:06:03.520><c> cheap</c><00:06:03.919><c> compared</c><00:06:04.319><c> to</c><00:06:04.560><c> the</c>

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yeah, it's still cheap compared to the
 

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yeah, it's still cheap compared to the
other<00:06:04.960><c> frontier</c><00:06:05.440><c> labs,</c><00:06:05.759><c> but</c><00:06:05.919><c> it's</c><00:06:06.160><c> not</c><00:06:06.319><c> as</c>

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other frontier labs, but it's not as
 

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other frontier labs, but it's not as
cheap<00:06:06.800><c> as,</c><00:06:07.120><c> for</c><00:06:07.120><c> example,</c><00:06:07.520><c> MU</c><00:06:07.919><c> Spark</c><00:06:08.240><c> when</c><00:06:08.479><c> the</c>

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cheap as, for example, MU Spark when the
 

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cheap as, for example, MU Spark when the
pricing<00:06:08.960><c> is</c><00:06:09.199><c> updated</c><00:06:10.000><c> or</c><00:06:10.240><c> even</c><00:06:10.479><c> the</c><00:06:10.639><c> Deepsee</c>

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pricing is updated or even the Deepsee
 

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pricing is updated or even the Deepsee
version<00:06:11.520><c> for</c><00:06:11.759><c> Flash.</c><00:06:12.479><c> But</c><00:06:12.720><c> across</c><00:06:13.039><c> these</c>

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version for Flash. But across these
 

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version for Flash. But across these
benchmarks,<00:06:13.840><c> we</c><00:06:14.080><c> can</c><00:06:14.160><c> see</c><00:06:14.319><c> that</c><00:06:14.560><c> this</c><00:06:14.880><c> model</c>

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benchmarks, we can see that this model
 

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benchmarks, we can see that this model
is<00:06:15.759><c> better</c><00:06:16.000><c> in</c><00:06:16.240><c> many</c><00:06:16.479><c> areas</c><00:06:16.880><c> that</c><00:06:17.120><c> they</c>

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is better in many areas that they
 

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is better in many areas that they
highlighted<00:06:17.759><c> at</c><00:06:17.919><c> the</c><00:06:18.080><c> top.</c><00:06:18.400><c> But</c><00:06:18.479><c> then</c><00:06:18.639><c> they</c>

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highlighted at the top. But then they
 

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highlighted at the top. But then they
also<00:06:19.120><c> have</c><00:06:19.280><c> some</c><00:06:19.520><c> other</c><00:06:19.759><c> areas</c><00:06:20.160><c> like</c><00:06:20.880><c> long</c>

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also have some other areas like long
 

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also have some other areas like long
video<00:06:21.600><c> understanding,</c><00:06:22.160><c> which</c><00:06:22.400><c> this</c><00:06:22.639><c> model</c>

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video understanding, which this model
 

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video understanding, which this model
excels<00:06:23.360><c> at</c><00:06:23.600><c> 85.4%</c><00:06:25.039><c> versus</c><00:06:25.440><c> 78.9%</c>

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excels at 85.4% versus 78.9%
 

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excels at 85.4% versus 78.9%
for<00:06:27.520><c> the</c><00:06:27.680><c> Terra</c><00:06:28.160><c> model.</c><00:06:28.400><c> And</c><00:06:28.560><c> then</c><00:06:28.720><c> the</c><00:06:28.880><c> old</c>

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for the Terra model. And then the old
 

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for the Terra model. And then the old
model<00:06:29.440><c> was</c><00:06:29.680><c> also</c><00:06:30.000><c> pretty</c><00:06:30.319><c> good</c><00:06:30.400><c> at</c><00:06:30.639><c> that,</c>

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model was also pretty good at that,
 

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model was also pretty good at that,
84.2%.

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84.2%.
 

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84.2%.
Then<00:06:32.880><c> long</c><00:06:33.199><c> context</c><00:06:33.759><c> performance</c><00:06:34.400><c> the</c><00:06:34.560><c> model</c>

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Then long context performance the model
 

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Then long context performance the model
is<00:06:34.960><c> at</c><00:06:35.280><c> 97%</c><00:06:36.560><c> and</c><00:06:36.800><c> this</c><00:06:37.039><c> model</c><00:06:37.520><c> the</c><00:06:37.840><c> GPT</c><00:06:38.800><c> 6</c><00:06:39.039><c> Terra</c>

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is at 97% and this model the GPT 6 Terra
 

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is at 97% and this model the GPT 6 Terra
one<00:06:39.919><c> it</c><00:06:40.080><c> sits</c><00:06:40.400><c> at</c><00:06:40.560><c> 93.5%.</c>

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one it sits at 93.5%.
 

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one it sits at 93.5%.
So<00:06:42.400><c> yeah</c><00:06:42.639><c> this</c><00:06:42.800><c> model</c><00:06:43.039><c> in</c><00:06:43.199><c> summary</c><00:06:43.759><c> it</c><00:06:44.000><c> is</c>

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So yeah this model in summary it is
 

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So yeah this model in summary it is
better<00:06:44.479><c> so</c><00:06:44.720><c> it's</c><00:06:44.960><c> not</c><00:06:45.199><c> all</c><00:06:45.440><c> negative</c><00:06:45.919><c> but</c><00:06:46.240><c> it's</c>

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better so it's not all negative but it's
 

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better so it's not all negative but it's
not<00:06:46.639><c> all</c><00:06:46.880><c> like</c><00:06:47.199><c> you</c><00:06:47.360><c> know</c><00:06:47.840><c> that</c><00:06:48.160><c> positive</c>

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not all like you know that positive
 

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not all like you know that positive
where<00:06:48.960><c> you</c><00:06:49.199><c> are</c><00:06:49.360><c> super</c><00:06:49.680><c> excited</c><00:06:50.000><c> for</c><00:06:50.160><c> Google</c>

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where you are super excited for Google
 

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where you are super excited for Google
Deep<00:06:50.800><c> Mind</c><00:06:51.039><c> because</c><00:06:51.280><c> as</c><00:06:51.440><c> I</c><00:06:51.600><c> said</c><00:06:52.000><c> they're</c>

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Deep Mind because as I said they're
 

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Deep Mind because as I said they're
probably<00:06:52.560><c> still</c><00:06:52.800><c> holding</c><00:06:53.120><c> off</c><00:06:53.360><c> their</c><00:06:53.520><c> biggest</c>

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probably still holding off their biggest
 

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probably still holding off their biggest
release<00:06:54.080><c> for</c><00:06:54.240><c> Gemini</c><00:06:54.720><c> 4</c><00:06:54.960><c> lineup.</c><00:06:55.840><c> Now,</c><00:06:56.160><c> one</c>

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release for Gemini 4 lineup. Now, one
 

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release for Gemini 4 lineup. Now, one
thing<00:06:56.479><c> people</c><00:06:57.120><c> might</c><00:06:57.360><c> have</c><00:06:57.520><c> missed</c><00:06:57.759><c> in</c><00:06:57.919><c> their</c>

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thing people might have missed in their
 

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thing people might have missed in their
charts<00:06:58.479><c> because</c><00:06:58.720><c> these</c><00:06:59.039><c> charts</c><00:06:59.360><c> sometimes</c>

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charts because these charts sometimes
 

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charts because these charts sometimes
are<00:07:00.000><c> so</c><00:07:00.479><c> messy</c><00:07:00.960><c> to</c><00:07:01.280><c> read</c><00:07:01.520><c> and</c><00:07:01.840><c> understand,</c><00:07:02.319><c> but</c>

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are so messy to read and understand, but
 

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are so messy to read and understand, but
the<00:07:03.039><c> 3.7</c><00:07:03.759><c> flash</c><00:07:04.160><c> is</c><00:07:04.400><c> worse</c><00:07:04.720><c> than</c><00:07:04.880><c> GPT</c><00:07:05.520><c> 5.6</c>

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the 3.7 flash is worse than GPT 5.6
 

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the 3.7 flash is worse than GPT 5.6
Luna,<00:07:06.560><c> which</c><00:07:06.800><c> is</c><00:07:06.880><c> the</c><00:07:07.039><c> model</c><00:07:07.280><c> over</c><00:07:07.599><c> here,</c>

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Luna, which is the model over here,
 

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Luna, which is the model over here,
which<00:07:08.400><c> is</c><00:07:08.560><c> achieving</c><00:07:08.960><c> a</c><00:07:09.280><c> higher</c><00:07:09.599><c> score</c><00:07:10.240><c> on</c>

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which is achieving a higher score on
 

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which is achieving a higher score on
this<00:07:10.800><c> benchmark</c><00:07:11.440><c> deepware</c><00:07:12.080><c> engineering</c><00:07:12.880><c> for</c>

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this benchmark deepware engineering for
 

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this benchmark deepware engineering for
about<00:07:13.520><c> three</c><00:07:13.759><c> times</c><00:07:14.080><c> the</c><00:07:14.400><c> cost.</c><00:07:15.039><c> So,</c><00:07:15.280><c> yeah,</c>

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about three times the cost. So, yeah,
 

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about three times the cost. So, yeah,
this<00:07:15.759><c> is</c><00:07:15.919><c> kind</c><00:07:16.080><c> of</c><00:07:16.240><c> interesting</c><00:07:16.720><c> because</c>

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this is kind of interesting because
 

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this is kind of interesting because
yeah,<00:07:17.199><c> the</c><00:07:17.440><c> cost</c><00:07:17.599><c> for</c><00:07:17.680><c> Gemini</c><00:07:18.160><c> 3.7</c><00:07:18.720><c> Flash</c><00:07:19.120><c> is</c><00:07:19.440><c> a</c>

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yeah, the cost for Gemini 3.7 Flash is a
 

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yeah, the cost for Gemini 3.7 Flash is a
little<00:07:19.759><c> bit</c><00:07:19.840><c> more</c><00:07:20.080><c> than</c><00:07:20.319><c> what</c><00:07:20.479><c> it</c><00:07:20.639><c> looks</c><00:07:20.880><c> like.</c>

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little bit more than what it looks like.
 

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little bit more than what it looks like.
Now,<00:07:21.759><c> some</c><00:07:22.000><c> people</c><00:07:22.240><c> are</c><00:07:22.479><c> a</c><00:07:22.720><c> little</c><00:07:22.800><c> bit</c><00:07:22.960><c> upset</c>

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Now, some people are a little bit upset
 

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Now, some people are a little bit upset
and<00:07:23.599><c> they're</c><00:07:23.759><c> like,</c><00:07:23.919><c> "Oh,</c><00:07:24.240><c> disgraceful.</c>

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and they're like, "Oh, disgraceful.
 

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and they're like, "Oh, disgraceful.
Google<00:07:25.440><c> left</c><00:07:25.680><c> out</c><00:07:25.919><c> soul,</c><00:07:26.319><c> opus,</c><00:07:26.639><c> and</c><00:07:26.880><c> fable</c>

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Google left out soul, opus, and fable
 

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Google left out soul, opus, and fable
because<00:07:27.919><c> Google</c><00:07:28.160><c> is</c><00:07:28.400><c> incredibly</c><00:07:28.880><c> behind.</c><00:07:29.599><c> But</c>

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because Google is incredibly behind. But
 

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because Google is incredibly behind. But
I<00:07:29.840><c> think</c><00:07:30.000><c> one</c><00:07:30.160><c> thing</c><00:07:30.240><c> we</c><00:07:30.479><c> got</c><00:07:30.560><c> to</c><00:07:30.720><c> remember,</c>

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I think one thing we got to remember,
 

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I think one thing we got to remember,
guys,<00:07:31.280><c> is</c><00:07:31.520><c> that</c><00:07:31.759><c> this</c><00:07:32.080><c> model</c><00:07:32.400><c> is</c><00:07:32.560><c> a</c><00:07:32.720><c> flash</c>

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guys, is that this model is a flash
 

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guys, is that this model is a flash
model.<00:07:33.520><c> It's</c><00:07:33.759><c> not</c><00:07:34.000><c> trying</c><00:07:34.319><c> to</c><00:07:34.479><c> be</c><00:07:35.120><c> a</c><00:07:35.360><c> pro</c><00:07:35.680><c> model</c>

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model. It's not trying to be a pro model
 

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model. It's not trying to be a pro model
or<00:07:36.160><c> it's</c><00:07:36.400><c> not</c><00:07:36.560><c> trying</c><00:07:36.720><c> to</c><00:07:36.880><c> compete</c><00:07:37.199><c> with</c><00:07:37.440><c> Opus</c>

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or it's not trying to compete with Opus
 

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or it's not trying to compete with Opus
or<00:07:38.240><c> Soul</c><00:07:38.639><c> or</c><00:07:38.800><c> Fable</c><00:07:39.280><c> 5</c><00:07:39.440><c> level</c><00:07:39.759><c> models</c><00:07:40.080><c> yet.</c>

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or Soul or Fable 5 level models yet.
 

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or Soul or Fable 5 level models yet.
That<00:07:40.880><c> is</c><00:07:41.039><c> probably</c><00:07:41.360><c> going</c><00:07:41.520><c> to</c><00:07:41.599><c> be</c><00:07:41.759><c> Gemini</c><00:07:42.319><c> 4.</c>

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That is probably going to be Gemini 4.
 

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That is probably going to be Gemini 4.
So<00:07:43.039><c> when</c><00:07:43.280><c> Gemini</c><00:07:43.759><c> 4</c><00:07:44.000><c> comes</c><00:07:44.160><c> out,</c><00:07:44.400><c> then</c><00:07:44.639><c> I</c><00:07:44.800><c> think</c>

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So when Gemini 4 comes out, then I think
 

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So when Gemini 4 comes out, then I think
it's<00:07:45.120><c> okay</c><00:07:45.360><c> for</c><00:07:45.599><c> us</c><00:07:45.680><c> to</c><00:07:45.919><c> criticize</c><00:07:46.400><c> them</c><00:07:46.880><c> if</c>

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it's okay for us to criticize them if
 

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it's okay for us to criticize them if
they<00:07:47.360><c> don't</c><00:07:47.599><c> include</c><00:07:48.080><c> Soul,</c><00:07:48.479><c> Opus,</c><00:07:48.880><c> and</c><00:07:49.039><c> Fable</c>

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they don't include Soul, Opus, and Fable
 

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they don't include Soul, Opus, and Fable
in<00:07:49.599><c> their</c><00:07:49.759><c> benchmark</c><00:07:50.240><c> charts</c><00:07:50.639><c> because</c><00:07:50.960><c> for</c>

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in their benchmark charts because for
 

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in their benchmark charts because for
now,<00:07:51.759><c> I</c><00:07:52.000><c> think</c><00:07:52.080><c> what</c><00:07:52.319><c> they</c><00:07:52.560><c> have</c><00:07:52.720><c> done</c><00:07:52.960><c> is</c>

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now, I think what they have done is
 

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now, I think what they have done is
pretty<00:07:53.440><c> accurate.</c><00:07:54.160><c> One</c><00:07:54.400><c> lab</c><00:07:54.639><c> that</c><00:07:54.800><c> I</c><00:07:54.960><c> would</c>

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pretty accurate. One lab that I would
 

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pretty accurate. One lab that I would
have<00:07:55.280><c> liked</c><00:07:55.360><c> to</c><00:07:55.520><c> see</c><00:07:55.680><c> or</c><00:07:55.919><c> one</c><00:07:56.160><c> model</c><00:07:56.479><c> for</c>

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have liked to see or one model for
 

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have liked to see or one model for
example<00:07:56.960><c> I</c><00:07:57.120><c> would</c><00:07:57.280><c> have</c><00:07:57.360><c> liked</c><00:07:57.520><c> to</c><00:07:57.680><c> see</c><00:07:57.759><c> on</c>

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example I would have liked to see on
 

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example I would have liked to see on
that<00:07:58.160><c> chart</c><00:07:58.400><c> would</c><00:07:58.639><c> be</c><00:07:58.800><c> Deepseek</c><00:07:59.360><c> version</c><00:07:59.599><c> 4</c>

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that chart would be Deepseek version 4
 

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that chart would be Deepseek version 4
Flash<00:08:00.319><c> because</c><00:08:00.479><c> that</c><00:08:00.720><c> would</c><00:08:00.800><c> kind</c><00:08:00.960><c> of</c><00:08:01.120><c> spoil</c>

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Flash because that would kind of spoil
 

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Flash because that would kind of spoil
their<00:08:01.759><c> release</c><00:08:02.080><c> because</c><00:08:02.319><c> that</c><00:08:02.560><c> model</c><00:08:02.800><c> is</c><00:08:03.120><c> way</c>

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their release because that model is way
 

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their release because that model is way
cheaper<00:08:04.080><c> compared</c><00:08:04.479><c> to</c><00:08:04.720><c> the</c><00:08:04.879><c> Gemini</c><00:08:05.360><c> 3.7</c><00:08:06.000><c> flash</c>

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cheaper compared to the Gemini 3.7 flash
 

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cheaper compared to the Gemini 3.7 flash
model<00:08:06.560><c> lineup.</c><00:08:07.360><c> Now</c><00:08:07.680><c> this</c><00:08:07.840><c> model</c><00:08:08.240><c> jumped</c><00:08:08.560><c> from</c>

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model lineup. Now this model jumped from
 

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model lineup. Now this model jumped from
number<00:08:09.120><c> 19</c><00:08:09.440><c> to</c><00:08:09.759><c> 8</c><00:08:10.000><c> on</c><00:08:10.240><c> the</c><00:08:10.479><c> web</c><00:08:10.800><c> development</c>

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number 19 to 8 on the web development
 

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number 19 to 8 on the web development
area<00:08:11.440><c> and</c><00:08:11.680><c> we</c><00:08:11.840><c> see</c><00:08:12.080><c> it</c><00:08:12.240><c> over</c><00:08:12.479><c> here</c><00:08:12.800><c> now</c><00:08:13.280><c> and</c>

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area and we see it over here now and
 

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area and we see it over here now and
couple<00:08:13.759><c> of</c><00:08:13.919><c> models</c><00:08:14.319><c> that</c><00:08:14.400><c> are</c><00:08:14.560><c> ahead</c><00:08:14.800><c> of</c><00:08:14.879><c> it</c>

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couple of models that are ahead of it
 

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couple of models that are ahead of it
are<00:08:15.280><c> Opus</c><00:08:15.759><c> 5</c><00:08:16.000><c> obviously</c><00:08:16.319><c> Kim</c><00:08:16.720><c> K3</c><00:08:17.199><c> Quinn</c><00:08:17.599><c> 3.8</c>

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are Opus 5 obviously Kim K3 Quinn 3.8
 

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are Opus 5 obviously Kim K3 Quinn 3.8
Max<00:08:18.639><c> Cloud</c><00:08:18.960><c> Opus</c><00:08:19.360><c> 5</c><00:08:20.000><c> Gro</c><00:08:20.479><c> 4.6</c><00:08:20.960><c> 6,</c><00:08:21.280><c> which</c><00:08:21.440><c> is</c><00:08:21.520><c> a</c>

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Max Cloud Opus 5 Gro 4.6 6, which is a
 

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Max Cloud Opus 5 Gro 4.6 6, which is a
model<00:08:21.919><c> that</c><00:08:22.080><c> came</c><00:08:22.319><c> yesterday,</c><00:08:22.800><c> which</c><00:08:23.039><c> was</c><00:08:23.199><c> a</c>

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model that came yesterday, which was a
 

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model that came yesterday, which was a
big<00:08:23.520><c> win</c><00:08:23.759><c> for</c><00:08:24.000><c> SpaceX,</c><00:08:24.879><c> Fable</c><00:08:25.360><c> 5,</c><00:08:25.599><c> and</c><00:08:25.840><c> 5.6.</c>

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big win for SpaceX, Fable 5, and 5.6.
 

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big win for SpaceX, Fable 5, and 5.6.
Soul.<00:08:27.360><c> So,</c><00:08:27.599><c> yeah,</c><00:08:27.840><c> this</c><00:08:28.000><c> model</c><00:08:28.319><c> is</c><00:08:28.639><c> trying</c><00:08:28.800><c> to</c>

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Soul. So, yeah, this model is trying to
 

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Soul. So, yeah, this model is trying to
compete<00:08:29.360><c> in</c><00:08:29.520><c> the</c><00:08:29.680><c> web</c><00:08:29.919><c> development,</c><00:08:30.639><c> but</c><00:08:30.879><c> it's</c>

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compete in the web development, but it's
 

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compete in the web development, but it's
still<00:08:31.280><c> behind</c><00:08:31.520><c> all</c><00:08:31.680><c> of</c><00:08:31.840><c> these</c><00:08:32.080><c> models,</c><00:08:32.880><c> which</c>

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still behind all of these models, which
 

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still behind all of these models, which
is,<00:08:33.360><c> you</c><00:08:33.519><c> know,</c><00:08:33.760><c> expected</c><00:08:34.240><c> cuz</c><00:08:34.479><c> it's</c><00:08:34.640><c> a</c><00:08:34.800><c> flash</c>

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is, you know, expected cuz it's a flash
 

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is, you know, expected cuz it's a flash
model.<00:08:35.519><c> It's</c><00:08:35.760><c> not</c><00:08:35.839><c> really</c><00:08:36.080><c> a</c><00:08:36.240><c> pro</c><00:08:36.560><c> model.</c>

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model. It's not really a pro model.
 

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model. It's not really a pro model.
Today,<00:08:37.599><c> OpenAI</c><00:08:38.240><c> has</c><00:08:38.479><c> also</c><00:08:38.800><c> launched</c><00:08:39.120><c> a</c><00:08:39.279><c> weight</c>

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Today, OpenAI has also launched a weight
 

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Today, OpenAI has also launched a weight
list<00:08:39.760><c> for</c><00:08:40.080><c> 5.6</c><00:08:40.880><c> so</c><00:08:41.279><c> ultra</c><00:08:41.599><c> fast</c><00:08:41.839><c> mode.</c><00:08:42.320><c> Now,</c>

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list for 5.6 so ultra fast mode. Now,
 

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list for 5.6 so ultra fast mode. Now,
this<00:08:42.719><c> is</c><00:08:42.880><c> possible</c><00:08:43.360><c> because</c><00:08:44.080><c> of</c><00:08:44.320><c> the</c><00:08:44.560><c> fast</c>

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this is possible because of the fast
 

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this is possible because of the fast
chips<00:08:45.279><c> that</c><00:08:45.440><c> they</c><00:08:45.680><c> have</c><00:08:45.839><c> access</c><00:08:46.160><c> to</c><00:08:46.399><c> now</c>

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chips that they have access to now
 

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chips that they have access to now
through<00:08:46.959><c> Cabus</c><00:08:47.839><c> and</c><00:08:48.000><c> GPT</c><00:08:48.560><c> 5.6</c><00:08:48.959><c> 6o</c><00:08:49.519><c> with</c><00:08:49.680><c> this</c>

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through Cabus and GPT 5.6 6o with this
 

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through Cabus and GPT 5.6 6o with this
chip<00:08:50.240><c> kind</c><00:08:50.480><c> of</c><00:08:50.640><c> running</c><00:08:50.880><c> it</c><00:08:51.519><c> is</c><00:08:51.839><c> able</c><00:08:52.000><c> to</c>

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chip kind of running it is able to
 

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chip kind of running it is able to
achieve<00:08:52.480><c> an</c><00:08:52.800><c> ultra</c><00:08:53.120><c> fast</c><00:08:53.440><c> mode</c><00:08:53.680><c> that</c>

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achieve an ultra fast mode that
 

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achieve an ultra fast mode that
generates<00:08:54.399><c> up</c><00:08:54.640><c> to</c><00:08:54.959><c> 750</c><00:08:55.920><c> output</c><00:08:56.399><c> tokens</c><00:08:56.800><c> per</c>

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generates up to 750 output tokens per
 

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generates up to 750 output tokens per
second<00:08:57.920><c> which</c><00:08:58.160><c> is</c><00:08:58.480><c> about</c><00:08:58.959><c> 14</c><00:08:59.440><c> times</c><00:08:59.920><c> faster</c>

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second which is about 14 times faster
 

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second which is about 14 times faster
than<00:09:00.640><c> the</c><00:09:00.880><c> standard</c><00:09:01.200><c> mode.</c><00:09:01.760><c> So</c><00:09:01.920><c> we're</c><00:09:02.160><c> getting</c>

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than the standard mode. So we're getting
 

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than the standard mode. So we're getting
a<00:09:02.880><c> really</c><00:09:03.200><c> fast</c><00:09:03.519><c> version</c><00:09:03.760><c> of</c><00:09:04.000><c> GPT</c><00:09:04.560><c> 5.6</c><00:09:05.279><c> so</c><00:09:06.080><c> now</c>

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a really fast version of GPT 5.6 so now
 

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a really fast version of GPT 5.6 so now
this<00:09:06.480><c> is</c><00:09:06.720><c> supposed</c><00:09:06.959><c> to</c><00:09:07.120><c> be</c><00:09:07.279><c> used</c><00:09:07.600><c> for</c><00:09:08.240><c> live</c><00:09:08.560><c> or</c>

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this is supposed to be used for live or
 

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this is supposed to be used for live or
near<00:09:09.200><c> production</c><00:09:09.680><c> workloads</c><00:09:10.240><c> like</c><00:09:10.480><c> you</c><00:09:10.560><c> know</c>

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near production workloads like you know
 

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near production workloads like you know
real-time<00:09:11.279><c> voice</c><00:09:11.680><c> support</c><00:09:12.240><c> commerce</c><00:09:13.040><c> what</c>

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real-time voice support commerce what
 

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real-time voice support commerce what
this<00:09:13.440><c> allows</c><00:09:13.839><c> GPT</c><00:09:14.399><c> 5.6</c><00:09:14.880><c> six</c><00:09:15.120><c> soul</c><00:09:15.360><c> to</c><00:09:15.519><c> do</c><00:09:15.600><c> is</c>

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this allows GPT 5.6 six soul to do is
 

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this allows GPT 5.6 six soul to do is
kind<00:09:16.000><c> of</c><00:09:16.160><c> be</c><00:09:16.320><c> really</c><00:09:16.640><c> fast</c><00:09:16.959><c> in</c><00:09:17.279><c> critical</c>

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kind of be really fast in critical
 

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kind of be really fast in critical
situations<00:09:18.399><c> when</c><00:09:18.800><c> people</c><00:09:19.120><c> might</c><00:09:19.360><c> be</c>

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situations when people might be
 

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situations when people might be
interacting<00:09:20.000><c> with</c><00:09:20.240><c> the</c><00:09:20.399><c> AI</c><00:09:20.720><c> agent</c><00:09:21.440><c> like</c>

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interacting with the AI agent like
 

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interacting with the AI agent like
financial<00:09:22.240><c> research</c><00:09:22.880><c> security</c><00:09:23.279><c> response</c>

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financial research security response
 

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financial research security response
support<00:09:25.120><c> I</c><00:09:25.360><c> think</c><00:09:25.440><c> is</c><00:09:25.680><c> going</c><00:09:25.839><c> to</c><00:09:26.000><c> be</c><00:09:26.080><c> a</c><00:09:26.320><c> big</c>

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support I think is going to be a big
 

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support I think is going to be a big
area<00:09:26.800><c> where</c><00:09:27.440><c> this</c><00:09:27.680><c> new</c><00:09:28.080><c> ultraast</c><00:09:28.640><c> mode</c><00:09:29.120><c> will</c>

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area where this new ultraast mode will
 

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area where this new ultraast mode will
be<00:09:29.519><c> kind</c><00:09:29.760><c> of</c><00:09:29.920><c> implemented</c><00:09:31.120><c> business</c><00:09:31.600><c> and</c>

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be kind of implemented business and
 

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be kind of implemented business and
developer<00:09:32.399><c> agents</c><00:09:32.880><c> maybe</c><00:09:33.200><c> yeah</c><00:09:33.440><c> but</c><00:09:33.680><c> I</c><00:09:33.839><c> think</c>

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developer agents maybe yeah but I think
 

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developer agents maybe yeah but I think
like<00:09:34.240><c> support</c><00:09:34.560><c> or</c><00:09:34.800><c> near</c><00:09:35.200><c> production</c>

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like support or near production
 

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like support or near production
workloads<00:09:36.160><c> like</c><00:09:36.320><c> real-time</c><00:09:36.880><c> voice</c><00:09:37.440><c> I</c><00:09:37.680><c> see</c>

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workloads like real-time voice I see
 

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workloads like real-time voice I see
this<00:09:38.000><c> model</c><00:09:38.320><c> really</c><00:09:38.640><c> excelling</c><00:09:39.040><c> at</c><00:09:39.279><c> that</c><00:09:39.920><c> and</c>

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this model really excelling at that and
 

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this model really excelling at that and
obviously<00:09:40.640><c> this</c><00:09:40.880><c> is</c><00:09:41.120><c> still</c><00:09:41.360><c> a</c><00:09:41.680><c> weightless</c>

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obviously this is still a weightless
 

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obviously this is still a weightless
mode<00:09:42.480><c> we</c><00:09:42.720><c> don't</c><00:09:42.880><c> know</c><00:09:43.360><c> how</c><00:09:43.600><c> many</c><00:09:43.760><c> people</c><00:09:44.000><c> are</c>

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mode we don't know how many people are
 

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mode we don't know how many people are
going<00:09:44.240><c> to</c><00:09:44.399><c> get</c><00:09:44.640><c> access</c><00:09:44.959><c> to</c><00:09:45.120><c> this,</c><00:09:45.440><c> how</c>

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going to get access to this, how
 

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going to get access to this, how
successful<00:09:46.240><c> it</c><00:09:46.480><c> is</c><00:09:46.640><c> or</c><00:09:46.880><c> what</c><00:09:47.040><c> the</c><00:09:47.279><c> pricing</c><00:09:47.600><c> is.</c>

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successful it is or what the pricing is.
 

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successful it is or what the pricing is.
I<00:09:48.080><c> don't</c><00:09:48.160><c> know</c><00:09:48.240><c> if</c><00:09:48.399><c> the</c><00:09:48.560><c> pricing</c><00:09:48.959><c> has</c><00:09:49.120><c> changed</c>

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I don't know if the pricing has changed
 

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I don't know if the pricing has changed
because<00:09:49.680><c> there's</c><00:09:50.000><c> no</c><00:09:50.240><c> information</c><00:09:50.640><c> in</c><00:09:50.959><c> their</c>

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because there's no information in their
 

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because there's no information in their
actual,<00:09:52.160><c> you</c><00:09:52.320><c> know,</c><00:09:52.480><c> blog</c><00:09:52.800><c> post.</c><00:09:53.440><c> But</c><00:09:53.600><c> as</c><00:09:53.839><c> I</c>

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actual, you know, blog post. But as I
 

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actual, you know, blog post. But as I
mentioned,<00:09:54.480><c> couple</c><00:09:54.720><c> of</c><00:09:54.880><c> areas</c><00:09:55.279><c> where</c><00:09:55.600><c> they</c>

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mentioned, couple of areas where they
 

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mentioned, couple of areas where they
mentioned<00:09:56.240><c> that</c><00:09:56.560><c> this</c><00:09:56.720><c> is</c><00:09:56.880><c> going</c><00:09:57.040><c> to</c><00:09:57.200><c> be</c>

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mentioned that this is going to be
 

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mentioned that this is going to be
really<00:09:57.600><c> important.</c><00:09:58.399><c> Customer</c><00:09:58.880><c> support</c><00:09:59.200><c> and</c>

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really important. Customer support and
 

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really important. Customer support and
voice,<00:09:59.760><c> commerce,</c><00:10:00.320><c> live</c><00:10:00.640><c> research</c><00:10:00.959><c> and</c>

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voice, commerce, live research and
 

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voice, commerce, live research and
experimentation,<00:10:02.480><c> financial</c><00:10:03.120><c> research</c><00:10:03.440><c> and</c>

00:10:03.750 --> 00:10:03.760 align:start position:0%
experimentation, financial research and
 

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experimentation, financial research and
security,<00:10:04.640><c> incident</c><00:10:05.200><c> response</c><00:10:05.600><c> and</c>

00:10:05.829 --> 00:10:05.839 align:start position:0%
security, incident response and
 

00:10:05.839 --> 00:10:07.750 align:start position:0%
security, incident response and
reliability.<00:10:06.880><c> But</c><00:10:07.040><c> yeah,</c><00:10:07.200><c> I</c><00:10:07.440><c> think</c><00:10:07.519><c> this</c>

00:10:07.750 --> 00:10:07.760 align:start position:0%
reliability. But yeah, I think this
 

00:10:07.760 --> 00:10:09.670 align:start position:0%
reliability. But yeah, I think this
partnership<00:10:08.320><c> is</c><00:10:08.560><c> going</c><00:10:08.720><c> to</c><00:10:08.880><c> be</c><00:10:09.040><c> important</c><00:10:09.440><c> for</c>

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partnership is going to be important for
 

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partnership is going to be important for
OpenAI<00:10:10.320><c> going</c><00:10:10.560><c> forward.</c><00:10:11.200><c> But</c><00:10:11.360><c> as</c><00:10:11.519><c> I</c><00:10:11.680><c> said,</c><00:10:11.920><c> 14</c>

00:10:12.230 --> 00:10:12.240 align:start position:0%
OpenAI going forward. But as I said, 14
 

00:10:12.240 --> 00:10:14.230 align:start position:0%
OpenAI going forward. But as I said, 14
times<00:10:12.560><c> the</c><00:10:12.800><c> speed.</c><00:10:13.120><c> What</c><00:10:13.360><c> does</c><00:10:13.519><c> that</c><00:10:13.760><c> mean</c><00:10:13.920><c> for</c>

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times the speed. What does that mean for
 

00:10:14.240 --> 00:10:16.790 align:start position:0%
times the speed. What does that mean for
cost?<00:10:14.720><c> We</c><00:10:14.880><c> don't</c><00:10:15.040><c> know</c><00:10:15.200><c> yet.</c><00:10:16.240><c> But</c><00:10:16.399><c> that's</c><00:10:16.640><c> it</c>

00:10:16.790 --> 00:10:16.800 align:start position:0%
cost? We don't know yet. But that's it
 

00:10:16.800 --> 00:10:18.550 align:start position:0%
cost? We don't know yet. But that's it
for<00:10:17.040><c> today's</c><00:10:17.360><c> video.</c><00:10:17.920><c> Make</c><00:10:18.079><c> sure</c><00:10:18.240><c> you</c><00:10:18.399><c> guys</c>

00:10:18.550 --> 00:10:18.560 align:start position:0%
for today's video. Make sure you guys
 

00:10:18.560 --> 00:10:20.470 align:start position:0%
for today's video. Make sure you guys
are<00:10:18.720><c> subscribed</c><00:10:19.120><c> to</c><00:10:19.279><c> the</c><00:10:19.519><c> channel.</c><00:10:20.160><c> Follow</c>

00:10:20.470 --> 00:10:20.480 align:start position:0%
are subscribed to the channel. Follow
 

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are subscribed to the channel. Follow
our<00:10:20.800><c> new</c><00:10:20.959><c> newsletter</c><00:10:21.519><c> as</c><00:10:21.760><c> well</c><00:10:21.920><c> at</c>

00:10:22.150 --> 00:10:22.160 align:start position:0%
our new newsletter as well at
 

00:10:22.160 --> 00:10:24.389 align:start position:0%
our new newsletter as well at
universeai.behive.com

00:10:24.389 --> 00:10:24.399 align:start position:0%
universeai.behive.com
 

00:10:24.399 --> 00:10:26.069 align:start position:0%
universeai.behive.com
as<00:10:24.640><c> well</c><00:10:24.720><c> as</c><00:10:24.880><c> subscribe</c><00:10:25.200><c> to</c><00:10:25.360><c> the</c><00:10:25.519><c> main</c><00:10:25.760><c> channel</c>

00:10:26.069 --> 00:10:26.079 align:start position:0%
as well as subscribe to the main channel
 

00:10:26.079 --> 00:10:28.550 align:start position:0%
as well as subscribe to the main channel
World<00:10:26.240><c> of</c><00:10:26.480><c> AI</c><00:10:27.120><c> and</c><00:10:27.360><c> support</c><00:10:27.680><c> us</c><00:10:27.839><c> on</c><00:10:28.079><c> X</c><00:10:28.399><c> by</c>

00:10:28.550 --> 00:10:28.560 align:start position:0%
World of AI and support us on X by
 

00:10:28.560 --> 00:10:30.790 align:start position:0%
World of AI and support us on X by
following<00:10:28.800><c> the</c><00:10:29.040><c> Universe</c><00:10:29.360><c> of</c><00:10:29.519><c> AIZ</c><00:10:30.160><c> as</c><00:10:30.320><c> well.</c>

00:10:30.790 --> 00:10:30.800 align:start position:0%
following the Universe of AIZ as well.
 

00:10:30.800 --> 00:10:32.389 align:start position:0%
following the Universe of AIZ as well.
Until<00:10:31.120><c> then,</c><00:10:31.440><c> I'll</c><00:10:31.600><c> see</c><00:10:31.760><c> you</c><00:10:31.920><c> guys</c><00:10:32.079><c> in</c><00:10:32.240><c> the</c>

00:10:32.389 --> 00:10:32.399 align:start position:0%
Until then, I'll see you guys in the
 

00:10:32.399 --> 00:10:34.560 align:start position:0%
Until then, I'll see you guys in the
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