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so<00:00:20.860><c> area</c><00:00:21.160><c> in</c><00:00:21.370><c> general</c><00:00:21.550><c> is</c><00:00:22.030><c> the</c><00:00:22.660><c> automation</c><00:00:23.530><c> of</c>

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so area in general is the automation of
 

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so area in general is the automation of
thought<00:00:24.210><c> which</c><00:00:25.210><c> of</c><00:00:25.420><c> course</c><00:00:25.450><c> is</c><00:00:25.869><c> it's</c><00:00:26.320><c> very</c>

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thought which of course is it's very
 

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thought which of course is it's very
vague<00:00:27.369><c> and</c><00:00:27.730><c> uncompress</c><00:00:28.360><c> is</c><00:00:28.540><c> many</c><00:00:28.779><c> things</c><00:00:29.080><c> for</c>

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vague and uncompress is many things for
 

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vague and uncompress is many things for
instance<00:00:29.890><c> you</c><00:00:30.250><c> could</c><00:00:30.369><c> say</c><00:00:30.610><c> that</c><00:00:30.790><c> just</c>

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instance you could say that just
 

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instance you could say that just
software<00:00:32.020><c> engineering</c><00:00:32.500><c> is</c><00:00:32.740><c> a</c><00:00:33.100><c> are</c><00:00:33.250><c> in</c><00:00:33.430><c> some</c>

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software engineering is a are in some
 

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software engineering is a are in some
way<00:00:33.790><c> because</c><00:00:34.030><c> you</c><00:00:34.240><c> are</c><00:00:34.360><c> automating</c><00:00:34.870><c> thought</c>

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way because you are automating thought
 

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way because you are automating thought
processes<00:00:36.370><c> when</c><00:00:36.670><c> developing</c><00:00:37.240><c> programs</c><00:00:38.520><c> you</c>

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processes when developing programs you
 

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processes when developing programs you
automatically<00:00:39.940><c> the</c><00:00:40.690><c> automation</c><00:00:41.020><c> of</c><00:00:41.170><c> thought</c>

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automatically the automation of thought
 

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automatically the automation of thought
will<00:00:42.700><c> lead</c><00:00:42.910><c> to</c><00:00:43.090><c> the</c><00:00:43.239><c> automation</c><00:00:43.540><c> of</c><00:00:43.720><c> the</c><00:00:43.780><c> human</c>

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will lead to the automation of the human
 

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will lead to the automation of the human
mind<00:00:44.350><c> right</c><00:00:44.980><c> with</c><00:00:45.310><c> artificial</c><00:00:46.210><c> recreational</c>

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mind right with artificial recreational
 

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mind right with artificial recreational
human<00:00:47.230><c> mind</c><00:00:47.440><c> but</c><00:00:47.649><c> we</c><00:00:47.800><c> are</c><00:00:47.890><c> still</c><00:00:48.100><c> very</c><00:00:48.129><c> very</c>

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human mind but we are still very very
 

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human mind but we are still very very
far<00:00:48.789><c> from</c><00:00:48.820><c> this</c><00:00:49.149><c> and</c><00:00:49.690><c> I</c><00:00:50.260><c> would</c><00:00:50.410><c> say</c><00:00:50.710><c> that</c><00:00:51.129><c> what</c>

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far from this and I would say that what
 

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far from this and I would say that what
we're<00:00:51.809><c> currently</c><00:00:52.809><c> able</c><00:00:53.410><c> to</c><00:00:53.710><c> do</c><00:00:53.829><c> are</c><00:00:53.980><c> just</c>

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we're currently able to do are just
 

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we're currently able to do are just
essentially<00:00:54.760><c> baby</c><00:00:55.000><c> steps</c><00:00:55.390><c> on</c><00:00:55.750><c> the</c><00:00:55.989><c> way</c><00:00:56.109><c> there</c>

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where<00:01:01.000><c> do</c><00:01:01.300><c> you</c><00:01:01.420><c> think</c><00:01:01.629><c> AI</c><00:01:01.929><c> is</c><00:01:02.140><c> successful</c>

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where do you think AI is successful
 

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where do you think AI is successful
right<00:01:03.219><c> now</c><00:01:03.250><c> and</c><00:01:03.730><c> where</c><00:01:04.059><c> do</c><00:01:04.180><c> you</c><00:01:04.239><c> see</c><00:01:04.480><c> it</c>

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right now and where do you see it
 

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right now and where do you see it
improving<00:01:05.140><c> in</c><00:01:05.350><c> the</c><00:01:05.440><c> future</c>

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improving in the future
 

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improving in the future
so<00:01:06.970><c> that's</c><00:01:07.120><c> an</c><00:01:07.240><c> easy</c><00:01:07.330><c> question</c><00:01:07.570><c> clearly</c><00:01:08.610><c> where</c>

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so that's an easy question clearly where
 

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so that's an easy question clearly where
we<00:01:09.850><c> are</c><00:01:09.970><c> already</c><00:01:10.150><c> successful</c><00:01:10.360><c> right</c><00:01:10.810><c> now</c><00:01:10.840><c> is</c>

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we are already successful right now is
 

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we are already successful right now is
mission<00:01:11.530><c> perception</c><00:01:12.010><c> so</c><00:01:12.730><c> things</c><00:01:13.000><c> like</c>

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mission perception so things like
 

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mission perception so things like
computer<00:01:13.720><c> vision</c><00:01:14.050><c> being</c><00:01:14.380><c> able</c><00:01:14.500><c> to</c><00:01:14.710><c> recognize</c>

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computer vision being able to recognize
 

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computer vision being able to recognize
objects<00:01:15.700><c> in</c><00:01:16.000><c> image</c><00:01:16.300><c> things</c><00:01:16.780><c> like</c><00:01:16.990><c> speech</c>

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objects in image things like speech
 

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objects in image things like speech
communication<00:01:18.600><c> in</c><00:01:19.600><c> so</c><00:01:19.960><c> in</c><00:01:20.049><c> general</c><00:01:20.200><c> mission</c>

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communication in so in general mission
 

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communication in so in general mission
perceptions<00:01:20.950><c> of</c><00:01:21.040><c> processing</c><00:01:21.490><c> of</c><00:01:21.670><c> images</c><00:01:21.939><c> and</c>

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perceptions of processing of images and
 

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perceptions of processing of images and
sound<00:01:23.229><c> and</c><00:01:23.740><c> the</c><00:01:23.860><c> reason</c><00:01:24.130><c> we</c><00:01:24.250><c> already</c>

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sound and the reason we already
 

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sound and the reason we already
successful<00:01:25.000><c> at</c><00:01:25.060><c> it</c><00:01:25.180><c> is</c><00:01:25.390><c> because</c><00:01:25.570><c> this</c><00:01:25.930><c> is</c><00:01:25.990><c> all</c>

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successful at it is because this is all
 

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successful at it is because this is all
just<00:01:26.770><c> pattern</c><00:01:27.310><c> matching</c><00:01:27.610><c> and</c><00:01:28.200><c> with</c><00:01:29.200><c> steep</c>

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just pattern matching and with steep
 

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just pattern matching and with steep
learning<00:01:29.560><c> with</c><00:01:29.950><c> right</c><00:01:30.220><c> so</c><00:01:30.369><c> depending</c><00:01:30.850><c> we</c>

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learning with right so depending we
 

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learning with right so depending we
found<00:01:31.270><c> a</c><00:01:31.479><c> really</c><00:01:32.229><c> powerful</c><00:01:32.799><c> and</c><00:01:33.399><c> an</c><00:01:33.970><c> easy</c><00:01:34.299><c> way</c>

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found a really powerful and an easy way
 

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found a really powerful and an easy way
to<00:01:35.140><c> do</c><00:01:35.290><c> pattern</c><00:01:35.530><c> matching</c><00:01:35.680><c> even</c><00:01:36.399><c> you</c><00:01:36.549><c> know</c>

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to do pattern matching even you know
 

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to do pattern matching even you know
super<00:01:37.000><c> human</c><00:01:37.270><c> data</c><00:01:37.450><c> machine</c><00:01:37.720><c> however</c><00:01:39.000><c> very</c>

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super human data machine however very
 

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super human data machine however very
machine<00:01:40.420><c> has</c><00:01:40.659><c> very</c><00:01:41.350><c> stock</c><00:01:42.130><c> limitations</c><00:01:43.560><c> and</c><00:01:44.560><c> I</c>

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machine has very stock limitations and I
 

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machine has very stock limitations and I
don't<00:01:44.799><c> think</c><00:01:45.119><c> intelligence</c><00:01:46.119><c> can</c><00:01:46.360><c> be</c><00:01:46.390><c> reduced</c>

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don't think intelligence can be reduced
 

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don't think intelligence can be reduced
to<00:01:47.290><c> pattern</c><00:01:47.560><c> matching</c><00:01:47.920><c> so</c><00:01:48.189><c> the</c><00:01:48.340><c> next</c><00:01:48.579><c> stage</c>

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to pattern matching so the next stage
 

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to pattern matching so the next stage
next<00:01:49.960><c> steps</c><00:01:50.290><c> for</c><00:01:50.560><c> AI</c><00:01:51.750><c> will</c><00:01:52.750><c> be</c><00:01:52.930><c> to</c><00:01:53.350><c> go</c><00:01:53.560><c> beyond</c>

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next steps for AI will be to go beyond
 

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next steps for AI will be to go beyond
me

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me
 

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me
to<00:01:56.190><c> attack</c><00:01:57.190><c> all</c><00:01:57.460><c> things</c><00:01:57.760><c> that</c><00:01:58.000><c> abstraction</c>

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to attack all things that abstraction
 

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to attack all things that abstraction
and<00:01:59.250><c> unreasoning</c><00:02:00.250><c> but</c><00:02:00.580><c> we</c><00:02:00.760><c> reform</c><00:02:01.090><c> always</c><00:02:01.330><c> on</c>

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and unreasoning but we reform always on
 

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and unreasoning but we reform always on
you<00:02:06.270><c> what</c><00:02:07.270><c> is</c><00:02:07.630><c> your</c><00:02:08.380><c> you've</c><00:02:09.250><c> kind</c><00:02:09.490><c> of</c><00:02:09.550><c> touched</c>

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you what is your you've kind of touched
 

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you what is your you've kind of touched
on<00:02:09.940><c> this</c><00:02:10.060><c> but</c><00:02:10.330><c> what</c><00:02:10.540><c> is</c><00:02:10.690><c> your</c><00:02:10.930><c> key</c><00:02:11.290><c> focus</c><00:02:11.710><c> with</c>

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on this but what is your key focus with
 

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on this but what is your key focus with
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AI and machine learning what's something
 

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AI and machine learning what's something
that<00:02:15.190><c> keeps</c><00:02:15.340><c> you</c><00:02:15.520><c> up</c><00:02:15.670><c> at</c><00:02:15.790><c> night</c><00:02:16.530><c> so</c><00:02:17.700><c> my</c><00:02:18.700><c> key</c>

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that keeps you up at night so my key
 

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that keeps you up at night so my key
focus<00:02:19.300><c> would</c><00:02:19.570><c> be</c><00:02:20.760><c> actually</c><00:02:21.760><c> I</c><00:02:22.000><c> don't</c><00:02:22.150><c> I</c>

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focus would be actually I don't I
 

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focus would be actually I don't I
couldn't<00:02:23.170><c> say</c><00:02:23.590><c> I</c><00:02:23.620><c> have</c><00:02:23.800><c> a</c><00:02:23.830><c> key</c><00:02:24.070><c> focus</c><00:02:24.250><c> and</c><00:02:24.790><c> I'm</c>

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couldn't say I have a key focus and I'm
 

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couldn't say I have a key focus and I'm
very<00:02:25.600><c> much</c><00:02:25.750><c> unfocused</c><00:02:26.620><c> I</c><00:02:26.830><c> work</c><00:02:27.130><c> on</c><00:02:27.280><c> many</c>

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very much unfocused I work on many
 

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very much unfocused I work on many
things<00:02:27.790><c> I</c><00:02:28.090><c> do</c><00:02:28.480><c> a</c><00:02:28.630><c> bit</c><00:02:28.900><c> of</c><00:02:28.930><c> everything</c><00:02:29.550><c> I've</c>

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things I do a bit of everything I've
 

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things I do a bit of everything I've
done<00:02:31.020><c> quite</c><00:02:32.020><c> a</c><00:02:32.080><c> bit</c><00:02:32.170><c> of</c><00:02:32.290><c> the</c><00:02:33.570><c> traditional</c><00:02:34.570><c> I</c>

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done quite a bit of the traditional I
 

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done quite a bit of the traditional I
would<00:02:35.170><c> say</c><00:02:35.410><c> deep</c><00:02:35.950><c> learning</c><00:02:36.130><c> data</c><00:02:36.550><c> matching</c>

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would say deep learning data matching
 

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would say deep learning data matching
approach<00:02:37.209><c> you</c><00:02:37.480><c> know</c><00:02:37.600><c> trying</c><00:02:37.959><c> to</c><00:02:38.550><c> tune</c><00:02:39.840><c> carbon</c>

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approach you know trying to tune carbon
 

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approach you know trying to tune carbon
and<00:02:40.959><c> architectures</c><00:02:41.440><c> figure</c><00:02:41.830><c> new</c><00:02:42.160><c> designs</c><00:02:42.550><c> for</c>

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and architectures figure new designs for
 

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and architectures figure new designs for
current<00:02:43.270><c> architectures</c><00:02:43.800><c> I've</c><00:02:44.800><c> also</c><00:02:45.130><c> worked</c>

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current architectures I've also worked
 

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current architectures I've also worked
quite<00:02:46.360><c> a</c><00:02:46.390><c> bit</c><00:02:46.600><c> on</c><00:02:46.980><c> trying</c><00:02:47.980><c> to</c><00:02:48.220><c> apply</c><00:02:48.750><c> deep</c>

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quite a bit on trying to apply deep
 

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quite a bit on trying to apply deep
learning<00:02:49.959><c> to</c><00:02:50.440><c> formal</c><00:02:50.830><c> reasoning</c><00:02:51.160><c> which</c><00:02:51.610><c> is</c><00:02:51.820><c> I</c>

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learning to formal reasoning which is I
 

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learning to formal reasoning which is I
think<00:02:52.000><c> a</c><00:02:52.600><c> very</c><00:02:52.930><c> interesting</c><00:02:53.530><c> and</c><00:02:54.040><c> also</c><00:02:54.130><c> very</c>

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think a very interesting and also very
 

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think a very interesting and also very
new<00:02:54.930><c> field</c><00:02:55.930><c> I</c><00:02:56.920><c> only</c><00:02:57.459><c> have</c><00:02:57.820><c> like</c><00:02:57.850><c> one</c><00:02:58.390><c> specific</c>

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new field I only have like one specific
 

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new field I only have like one specific
focus<00:02:59.860><c> one</c><00:03:00.160><c> specific</c><00:03:00.640><c> area</c><00:03:01.480><c> of</c><00:03:01.570><c> interest</c><00:03:01.810><c> but</c>

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focus one specific area of interest but
 

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focus one specific area of interest but
I<00:03:02.800><c> do</c><00:03:02.920><c> believe</c><00:03:03.160><c> that</c><00:03:03.340><c> the</c><00:03:04.239><c> right</c><00:03:04.480><c> program</c><00:03:04.870><c> to</c>

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I do believe that the right program to
 

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I do believe that the right program to
be<00:03:05.110><c> working</c><00:03:05.470><c> on</c><00:03:05.590><c> is</c><00:03:05.860><c> the</c><00:03:06.070><c> form</c><00:03:06.340><c> of</c><00:03:06.489><c> abstract</c>

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be working on is the form of abstract
 

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be working on is the form of abstract
modeling<00:03:07.690><c> abstract</c><00:03:08.170><c> reasoning</c><00:03:08.410><c> so</c><00:03:08.980><c> the</c>

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modeling abstract reasoning so the
 

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modeling abstract reasoning so the
manipulation<00:03:09.700><c> and</c><00:03:09.880><c> development</c><00:03:10.510><c> of</c><00:03:10.660><c> abstract</c>

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manipulation and development of abstract
 

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manipulation and development of abstract
models<00:03:11.440><c> and</c><00:03:12.360><c> which</c><00:03:13.360><c> cause</c><00:03:13.630><c> you</c><00:03:13.840><c> know</c><00:03:13.930><c> far</c>

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models and which cause you know far
 

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models and which cause you know far
beyond<00:03:14.440><c> pattern</c><00:03:14.709><c> matching</c><00:03:15.100><c> and</c><00:03:15.280><c> just</c><00:03:15.700><c> far</c>

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beyond pattern matching and just far
 

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beyond pattern matching and just far
beyond<00:03:16.209><c> our</c><00:03:16.720><c> current</c><00:03:16.959><c> approaches</c><00:03:17.560><c> I</c><00:03:17.769><c> was</c><00:03:18.070><c> he</c>

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beyond our current approaches I was he
 

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beyond our current approaches I was he
planning<00:03:18.370><c> a</c><00:03:18.550><c> new</c><00:03:18.670><c> training</c><00:03:19.000><c> and</c><00:03:19.840><c> I</c><00:03:21.450><c> we</c><00:03:22.450><c> still</c>

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planning a new training and I we still
 

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planning a new training and I we still
don't<00:03:22.959><c> know</c><00:03:23.110><c> you</c><00:03:23.170><c> know</c><00:03:23.410><c> what's</c><00:03:23.590><c> the</c><00:03:23.680><c> right</c><00:03:23.800><c> way</c>

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don't know you know what's the right way
 

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don't know you know what's the right way
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to approach these problems so even if
 

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to approach these problems so even if
you<00:03:25.690><c> identify</c><00:03:26.019><c> which</c><00:03:27.010><c> problems</c><00:03:27.430><c> you</c><00:03:27.550><c> should</c>

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you identify which problems you should
 

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you identify which problems you should
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be working on that's not telling you you
 

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be working on that's not telling you you
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know which approaches you should be
 

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know which approaches you should be
using<00:03:33.070><c> so</c><00:03:33.850><c> now</c><00:03:33.970><c> I</c><00:03:34.000><c> don't</c><00:03:34.150><c> really</c><00:03:34.360><c> a</c><00:03:34.959><c> specific</c>

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using so now I don't really a specific
 

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using so now I don't really a specific
focus<00:03:35.530><c> I'm</c><00:03:35.890><c> just</c><00:03:36.100><c> keeping</c><00:03:36.519><c> my</c><00:03:36.550><c> eyes</c><00:03:37.030><c> open</c><00:03:37.239><c> for</c>

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focus I'm just keeping my eyes open for
 

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focus I'm just keeping my eyes open for
anything

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anything
 

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anything
you

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you
 

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you
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