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you

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you
 

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you
[Music]

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you

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boy<00:00:21.279><c> my</c><00:00:21.580><c> definition</c><00:00:21.760><c> of</c><00:00:22.090><c> a</c><00:00:22.150><c> is</c><00:00:22.330><c> so</c><00:00:22.689><c> we</c><00:00:23.080><c> work</c>

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boy my definition of a is so we work
 

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boy my definition of a is so we work
mostly<00:00:23.560><c> in</c><00:00:23.650><c> AI</c><00:00:24.189><c> enablement</c><00:00:24.759><c> and</c><00:00:25.060><c> so</c><00:00:25.509><c> well</c><00:00:25.930><c> not</c>

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mostly in AI enablement and so well not
 

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mostly in AI enablement and so well not
an<00:00:26.230><c> AI</c><00:00:26.380><c> enablement</c><00:00:26.860><c> but</c><00:00:27.160><c> Morris</c><00:00:27.460><c> of</c>

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an AI enablement but Morris of
 

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an AI enablement but Morris of
autonomous<00:00:28.570><c> systems</c><00:00:28.930><c> in</c><00:00:29.140><c> enablement</c><00:00:29.500><c> so</c><00:00:29.800><c> one</c>

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autonomous systems in enablement so one
 

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autonomous systems in enablement so one
component<00:00:30.250><c> of</c><00:00:30.490><c> that</c><00:00:30.550><c> of</c><00:00:30.880><c> course</c><00:00:31.029><c> is</c><00:00:31.210><c> AI</c><00:00:31.390><c> so</c><00:00:32.290><c> I</c>

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component of that of course is AI so I
 

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component of that of course is AI so I
think<00:00:32.649><c> that</c><00:00:32.800><c> AI</c><00:00:33.010><c> is</c><00:00:33.190><c> a</c><00:00:33.880><c> general</c><00:00:34.300><c> computing</c>

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think that AI is a general computing
 

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think that AI is a general computing
engine<00:00:35.020><c> it's</c><00:00:35.890><c> a</c><00:00:36.070><c> one</c><00:00:36.790><c> of</c><00:00:36.880><c> the</c><00:00:36.940><c> best</c>

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engine it's a one of the best
 

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engine it's a one of the best
definitions<00:00:37.510><c> that</c><00:00:37.570><c> I've</c><00:00:37.750><c> sort</c><00:00:38.140><c> of</c><00:00:38.170><c> scene</c><00:00:38.350><c> I</c>

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definitions that I've sort of scene I
 

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definitions that I've sort of scene I
was<00:00:38.559><c> reading</c><00:00:38.800><c> a</c><00:00:38.860><c> research</c><00:00:39.219><c> paper</c><00:00:39.370><c> in</c><00:00:39.850><c> fact</c>

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was reading a research paper in fact
 

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was reading a research paper in fact
from<00:00:40.239><c> Nvidia</c><00:00:40.600><c> and</c><00:00:40.840><c> they</c><00:00:41.320><c> sort</c><00:00:41.500><c> of</c>

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from Nvidia and they sort of
 

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from Nvidia and they sort of
characterized<00:00:43.239><c> an</c><00:00:43.600><c> AI</c><00:00:43.719><c> model</c><00:00:44.110><c> as</c><00:00:44.260><c> as</c><00:00:44.559><c> a</c>

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characterized an AI model as as a
 

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characterized an AI model as as a
generalized<00:00:46.480><c> way</c><00:00:46.719><c> to</c><00:00:46.780><c> model</c><00:00:47.410><c> some</c><00:00:48.160><c> type</c><00:00:48.610><c> of</c>

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generalized way to model some type of
 

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generalized way to model some type of
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system and I think that's a really nice
 

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system and I think that's a really nice
way<00:00:51.040><c> to</c><00:00:51.100><c> say</c><00:00:51.700><c> it</c><00:00:51.730><c> so</c><00:00:51.880><c> you</c><00:00:52.060><c> have</c><00:00:52.180><c> some</c><00:00:52.390><c> type</c><00:00:52.600><c> of</c>

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way to say it so you have some type of
 

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way to say it so you have some type of
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input and some type of output and some
 

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input and some type of output and some
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function in the middle that you know can
 

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function in the middle that you know can
be<00:00:56.950><c> defined</c><00:00:57.280><c> you</c><00:00:58.270><c> know</c><00:00:58.360><c> in</c><00:00:58.450><c> more</c><00:00:58.630><c> classical</c>

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be defined you know in more classical
 

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be defined you know in more classical
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approaches mathematically and in more
 

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approaches mathematically and in more
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you know complex AI based approaches
 

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you know complex AI based approaches
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also mathematically but in much more
 

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also mathematically but in much more
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complex terms AI has been very very
 

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complex terms AI has been very very
successful<00:01:14.259><c> in</c><00:01:14.770><c> in</c><00:01:15.579><c> characterizing</c>

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successful in in characterizing
 

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successful in in characterizing
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uncertain or unstructured type
 

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uncertain or unstructured type
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environments so from perception
 

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environments so from perception
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perspective from a planning perspective
 

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perspective from a planning perspective
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it's it's incredibly effective at taking
 

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it's it's incredibly effective at taking
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things that using generalized
 

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things that using generalized
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representations to understand the world
 

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representations to understand the world
around<00:01:33.000><c> it</c><00:01:34.000><c> and</c><00:01:34.150><c> to</c><00:01:34.600><c> and</c><00:01:34.810><c> to</c><00:01:34.869><c> make</c><00:01:35.049><c> plans</c><00:01:35.229><c> for</c>

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around it and to and to make plans for
 

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around it and to and to make plans for
achieving<00:01:35.830><c> goals</c><00:01:36.100><c> that's</c><00:01:36.729><c> been</c><00:01:36.909><c> that's</c><00:01:37.360><c> been</c>

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achieving goals that's been that's been
 

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achieving goals that's been that's been
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incredible revelation in autonomous
 

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incredible revelation in autonomous
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driving where suddenly you move from
 

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driving where suddenly you move from
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from a system which has to be defined
 

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from a system which has to be defined
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based on rules and you know and maybe
 

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based on rules and you know and maybe
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sort of simple learning behaviors to
 

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sort of simple learning behaviors to
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something which is which exhibits
 

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something which is which exhibits
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extremely complex behaviors with a
 

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extremely complex behaviors with a
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relatively simple sort of development
 

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relatively simple sort of development
process

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one<00:02:03.590><c> of</c><00:02:03.680><c> the</c><00:02:03.740><c> challenges</c><00:02:03.770><c> of</c><00:02:04.220><c> AI</c><00:02:04.370><c> is</c><00:02:04.820><c> that</c><00:02:05.540><c> it's</c>

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one of the challenges of AI is that it's
 

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one of the challenges of AI is that it's
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non deterministic I mean in effect it is
 

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non deterministic I mean in effect it is
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deterministic but the input space is so
 

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deterministic but the input space is so
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large that it's difficult to to tie down
 

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large that it's difficult to to tie down
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in terms of a deterministic result for
 

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in terms of a deterministic result for
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any given input and so the challenge
 

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any given input and so the challenge
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there is that is that typically safety
 

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there is that is that typically safety
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models just in a general way rely on
 

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models just in a general way rely on
determinism<00:02:27.320><c> the</c><00:02:27.890><c> idea</c><00:02:28.220><c> that</c><00:02:28.280><c> you</c><00:02:28.880><c> know</c><00:02:28.910><c> we</c>

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determinism the idea that you know we
 

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determinism the idea that you know we
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can we can reliably tie some input to
 

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can we can reliably tie some input to
some<00:02:31.790><c> known</c><00:02:32.030><c> output</c><00:02:32.600><c> and</c><00:02:32.810><c> so</c><00:02:33.320><c> with</c><00:02:33.590><c> AI</c><00:02:33.770><c> we</c>

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some known output and so with AI we
 

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some known output and so with AI we
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really end up violating that principle
 

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really end up violating that principle
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and so I think the most interesting area
 

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and so I think the most interesting area
of<00:02:39.200><c> AI</c><00:02:39.739><c> from</c><00:02:40.310><c> our</c><00:02:40.489><c> perspective</c><00:02:40.850><c> and</c><00:02:41.270><c> we</c><00:02:41.450><c> are</c><00:02:41.570><c> an</c>

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of AI from our perspective and we are an
 

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of AI from our perspective and we are an
infrastructure<00:02:42.500><c> and</c><00:02:42.650><c> safety</c><00:02:42.980><c> type</c><00:02:43.130><c> company</c>

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infrastructure and safety type company
 

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infrastructure and safety type company
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is how do we create a framework that
 

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is how do we create a framework that
allows<00:02:47.060><c> these</c><00:02:47.680><c> these</c><00:02:48.680><c> I</c><00:02:48.860><c> I</c><00:02:48.890><c> algorithms</c><00:02:49.550><c> to</c>

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allows these these I I algorithms to
 

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allows these these I I algorithms to
perform<00:02:51.100><c> there</c><00:02:52.100><c> you</c><00:02:52.400><c> know</c><00:02:52.520><c> at</c><00:02:52.700><c> their</c><00:02:52.940><c> best</c><00:02:53.180><c> but</c>

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perform there you know at their best but
 

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perform there you know at their best but
also<00:02:53.870><c> ensuring</c><00:02:54.140><c> that</c><00:02:54.680><c> they're</c><00:02:55.220><c> they're</c>

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also ensuring that they're they're
 

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also ensuring that they're they're
behaving<00:02:55.970><c> safely</c><00:02:56.600><c> safely</c><00:02:57.500><c> I</c><00:03:02.050><c> think</c><00:03:03.050><c> the</c><00:03:03.110><c> body</c>

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behaving safely safely I think the body
 

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behaving safely safely I think the body
of<00:03:03.380><c> a</c><00:03:03.440><c> conference</c><00:03:03.830><c> I</c><00:03:04.070><c> wasn't</c><00:03:04.400><c> sure</c><00:03:04.640><c> what</c><00:03:04.730><c> to</c>

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of a conference I wasn't sure what to
 

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of a conference I wasn't sure what to
expect<00:03:04.880><c> my</c><00:03:05.420><c> first</c><00:03:05.660><c> time</c><00:03:05.810><c> here</c><00:03:06.019><c> and</c><00:03:06.170><c> I</c><00:03:06.860><c> was</c>

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expect my first time here and I was
 

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expect my first time here and I was
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really impressed it generally at the
 

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really impressed it generally at the
audience<00:03:09.280><c> typically</c><00:03:10.280><c> I'm</c><00:03:10.400><c> talking</c><00:03:10.910><c> to</c>

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audience typically I'm talking to
 

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audience typically I'm talking to
autonomous<00:03:12.470><c> driving</c><00:03:12.620><c> people</c><00:03:13.070><c> and</c><00:03:13.430><c> we</c><00:03:14.090><c> get</c>

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autonomous driving people and we get
 

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autonomous driving people and we get
much<00:03:14.360><c> more</c><00:03:14.540><c> into</c><00:03:14.780><c> the</c><00:03:14.870><c> into</c><00:03:15.200><c> the</c><00:03:15.320><c> weeds</c><00:03:15.500><c> in</c>

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much more into the into the weeds in
 

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much more into the into the weeds in
terms<00:03:15.980><c> of</c><00:03:16.130><c> you</c><00:03:16.370><c> know</c><00:03:16.400><c> the</c><00:03:16.549><c> specifics</c><00:03:17.120><c> of</c><00:03:17.330><c> of</c>

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terms of you know the specifics of of
 

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terms of you know the specifics of of
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our technology or challenges that we've
 

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our technology or challenges that we've
that<00:03:20.840><c> we've</c><00:03:20.900><c> identified</c><00:03:21.310><c> but</c><00:03:22.310><c> but</c><00:03:23.030><c> talking</c><00:03:23.630><c> to</c>

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that we've identified but but talking to
 

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that we've identified but but talking to
talking<00:03:25.160><c> to</c><00:03:25.310><c> the</c><00:03:25.370><c> people</c><00:03:25.580><c> here</c><00:03:25.790><c> they</c><00:03:26.120><c> are</c><00:03:26.330><c> a</c>

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talking to the people here they are a
 

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talking to the people here they are a
bunch<00:03:26.840><c> of</c><00:03:26.930><c> very</c><00:03:27.260><c> very</c><00:03:27.350><c> smart</c><00:03:27.709><c> people</c><00:03:27.860><c> with</c>

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bunch of very very smart people with
 

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bunch of very very smart people with
lots<00:03:28.910><c> of</c><00:03:29.090><c> experience</c><00:03:29.540><c> in</c><00:03:29.769><c> in</c><00:03:30.769><c> AI</c><00:03:31.190><c> but</c><00:03:32.120><c> not</c><00:03:32.480><c> much</c>

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lots of experience in in AI but not much
 

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lots of experience in in AI but not much
experience<00:03:33.110><c> in</c><00:03:33.260><c> an</c><00:03:33.380><c> autonomous</c><00:03:33.950><c> driving</c><00:03:34.100><c> i'm</c>

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experience in an autonomous driving i'm
 

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experience in an autonomous driving i'm
seeing<00:03:34.580><c> like</c><00:03:34.640><c> a</c><00:03:34.760><c> really</c><00:03:35.510><c> broad</c><00:03:35.660><c> cross-section</c>

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seeing like a really broad cross-section
 

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seeing like a really broad cross-section
of<00:03:36.410><c> folks</c><00:03:36.709><c> that</c><00:03:36.860><c> are</c><00:03:36.950><c> you</c><00:03:37.340><c> know</c><00:03:37.430><c> working</c><00:03:37.700><c> in</c>

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of folks that are you know working in
 

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of folks that are you know working in
data<00:03:38.060><c> science</c><00:03:38.299><c> and</c><00:03:38.690><c> that</c><00:03:39.530><c> I</c><00:03:39.769><c> think</c><00:03:39.830><c> is</c><00:03:40.100><c> just</c>

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data science and that I think is just
 

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data science and that I think is just
great<00:03:40.580><c> so</c><00:03:40.730><c> the</c><00:03:40.790><c> audience</c><00:03:40.940><c> has</c><00:03:41.360><c> been</c><00:03:41.390><c> really</c>

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great so the audience has been really
 

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great so the audience has been really
amazing<00:03:42.640><c> also</c><00:03:43.640><c> the</c><00:03:43.730><c> speaker</c><00:03:44.030><c> line-up</c><00:03:44.180><c> I</c><00:03:44.600><c> think</c>

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amazing also the speaker line-up I think
 

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amazing also the speaker line-up I think
it's<00:03:45.260><c> been</c><00:03:45.380><c> really</c><00:03:45.530><c> dynamic</c><00:03:45.769><c> you</c><00:03:46.280><c> know</c><00:03:46.400><c> very</c>

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it's been really dynamic you know very
 

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it's been really dynamic you know very
different<00:03:47.360><c> perspectives</c><00:03:47.840><c> different</c><00:03:48.080><c> areas</c>

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different perspectives different areas
 

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different perspectives different areas
of<00:03:48.920><c> interest</c><00:03:49.310><c> for</c><00:03:49.430><c> each</c><00:03:49.549><c> for</c><00:03:49.940><c> each</c><00:03:50.000><c> speaker</c><00:03:50.330><c> so</c>

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of interest for each for each speaker so
 

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of interest for each for each speaker so
those<00:03:52.100><c> things</c><00:03:52.280><c> been</c><00:03:52.610><c> great</c><00:03:52.820><c> and</c><00:03:53.030><c> then</c><00:03:53.209><c> I</c><00:03:53.360><c> think</c>

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those things been great and then I think
 

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those things been great and then I think
finally<00:03:54.019><c> the</c><00:03:54.230><c> it</c><00:03:55.100><c> just</c><00:03:55.400><c> written</c><00:03:55.549><c> been</c><00:03:55.760><c> really</c>

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finally the it just written been really
 

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finally the it just written been really
professionally<00:03:56.480><c> run</c><00:03:56.630><c> like</c><00:03:56.870><c> you</c><00:03:56.959><c> guys</c><00:03:57.079><c> are</c>

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professionally run like you guys are
 

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professionally run like you guys are
very<00:03:57.380><c> it's</c><00:03:57.590><c> just</c><00:03:57.739><c> very</c><00:03:57.950><c> dialed</c><00:03:58.400><c> in</c><00:03:58.489><c> terms</c><00:03:58.700><c> of</c>

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very it's just very dialed in terms of
 

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very it's just very dialed in terms of
all<00:04:00.110><c> the</c><00:04:00.350><c> logistics</c><00:04:00.920><c> all</c><00:04:01.070><c> the</c><00:04:01.310><c> all</c><00:04:01.640><c> the</c>

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all the logistics all the all the
 

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all the logistics all the all the
facilities<00:04:02.030><c> and</c><00:04:02.390><c> things</c><00:04:02.540><c> like</c><00:04:02.630><c> that</c><00:04:02.690><c> so</c><00:04:02.870><c> yeah</c>

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facilities and things like that so yeah
 

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facilities and things like that so yeah
just<00:04:03.860><c> well</c><00:04:04.100><c> done</c><00:04:04.250><c> I'm</c><00:04:04.370><c> impressed</c>

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just well done I'm impressed
 

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just well done I'm impressed
you

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you
 

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you
[Music]

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you

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you