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you
 

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you
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you

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so<00:00:21.040><c> I</c><00:00:21.460><c> just</c><00:00:21.760><c> go</c><00:00:21.939><c> by</c><00:00:21.970><c> the</c><00:00:22.240><c> sort</c><00:00:22.779><c> of</c><00:00:22.810><c> definitions</c>

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so I just go by the sort of definitions
 

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so I just go by the sort of definitions
from<00:00:23.650><c> the</c><00:00:23.860><c> academia</c><00:00:25.050><c> and</c><00:00:26.670><c> you</c><00:00:27.670><c> know</c><00:00:27.790><c> think</c>

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from the academia and you know think
 

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from the academia and you know think
about<00:00:28.180><c> AI</c><00:00:28.630><c> in</c><00:00:28.930><c> terms</c><00:00:29.200><c> of</c><00:00:29.380><c> general</c><00:00:30.250><c> techniques</c>

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about AI in terms of general techniques
 

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about AI in terms of general techniques
and<00:00:31.029><c> planning</c><00:00:31.570><c> and</c><00:00:31.779><c> so</c><00:00:31.930><c> on</c><00:00:32.050><c> that</c><00:00:32.169><c> have</c><00:00:32.290><c> been</c>

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and planning and so on that have been
 

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and planning and so on that have been
around<00:00:32.590><c> for</c><00:00:32.800><c> a</c><00:00:32.830><c> long</c><00:00:32.980><c> time</c><00:00:33.280><c> and</c><00:00:33.640><c> of</c><00:00:34.270><c> course</c>

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around for a long time and of course
 

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around for a long time and of course
machine<00:00:34.989><c> learning</c><00:00:35.379><c> and</c><00:00:35.500><c> all</c><00:00:35.650><c> the</c><00:00:35.739><c> different</c>

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machine learning and all the different
 

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machine learning and all the different
subfields<00:00:36.250><c> of</c><00:00:36.550><c> the</c><00:00:36.730><c> machine</c><00:00:37.059><c> learning</c>

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subfields of the machine learning
 

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subfields of the machine learning
natural<00:00:38.769><c> language</c><00:00:39.070><c> processing</c><00:00:39.100><c> computer</c>

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natural language processing computer
 

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natural language processing computer
vision<00:00:40.420><c> different</c><00:00:40.809><c> niches</c><00:00:41.019><c> like</c><00:00:41.350><c> this</c><00:00:41.590><c> and</c>

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vision different niches like this and
 

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vision different niches like this and
they<00:00:42.489><c> sort</c><00:00:42.699><c> of</c><00:00:42.790><c> just</c><00:00:43.000><c> think</c><00:00:43.210><c> about</c><00:00:43.330><c> the</c><00:00:43.750><c> field</c>

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they sort of just think about the field
 

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they sort of just think about the field
of<00:00:44.620><c> AI</c><00:00:44.769><c> in</c><00:00:45.100><c> terms</c><00:00:45.340><c> of</c><00:00:45.460><c> all</c><00:00:45.580><c> these</c><00:00:45.730><c> different</c>

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of AI in terms of all these different
 

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of AI in terms of all these different
subfields<00:00:46.449><c> that</c><00:00:46.960><c> are</c><00:00:47.080><c> part</c><00:00:47.320><c> of</c><00:00:47.410><c> it</c><00:00:52.110><c> so</c><00:00:53.110><c> we're</c>

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subfields that are part of it so we're
 

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subfields that are part of it so we're
very<00:00:53.320><c> successful</c><00:00:54.040><c> when</c><00:00:54.190><c> we</c><00:00:54.339><c> have</c><00:00:54.519><c> a</c><00:00:54.549><c> large</c>

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very successful when we have a large
 

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very successful when we have a large
amount<00:00:55.360><c> of</c><00:00:55.449><c> data</c><00:00:55.510><c> large</c><00:00:56.170><c> dent</c><00:00:56.500><c> data</c><00:00:56.860><c> like</c><00:00:57.220><c> a</c>

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amount of data large dent data like a
 

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amount of data large dent data like a
prediction<00:00:58.269><c> problems</c><00:00:58.839><c> ranking</c><00:00:59.559><c> problems</c>

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prediction problems ranking problems
 

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prediction problems ranking problems
like<00:01:00.220><c> such</c><00:01:00.519><c> a</c><00:01:00.549><c> Google</c><00:01:01.269><c> or</c><00:01:01.420><c> Facebook</c><00:01:01.449><c> basis</c>

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like such a Google or Facebook basis
 

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like such a Google or Facebook basis
that's<00:01:03.940><c> us</c><00:01:04.150><c> all</c><00:01:04.330><c> pretty</c><00:01:04.510><c> well</c><00:01:04.750><c> solved</c><00:01:06.510><c> where</c>

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that's us all pretty well solved where
 

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that's us all pretty well solved where
we<00:01:08.080><c> need</c><00:01:08.440><c> to</c><00:01:08.619><c> really</c><00:01:08.860><c> do</c><00:01:09.040><c> a</c><00:01:09.070><c> lot</c><00:01:09.159><c> of</c><00:01:09.280><c> work</c><00:01:09.490><c> of</c>

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we need to really do a lot of work of
 

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we need to really do a lot of work of
courses<00:01:10.210><c> things</c><00:01:10.479><c> like</c><00:01:10.659><c> unsupervised</c>

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courses things like unsupervised
 

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courses things like unsupervised
learning<00:01:11.560><c> or</c><00:01:12.130><c> week</c><00:01:12.369><c> or</c><00:01:12.580><c> semi-supervised</c>

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learning or week or semi-supervised
 

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learning or week or semi-supervised
learning<00:01:13.320><c> it's</c><00:01:14.320><c> quite</c><00:01:14.619><c> difficult</c><00:01:15.150><c> to</c><00:01:16.350><c> get</c>

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learning it's quite difficult to get
 

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learning it's quite difficult to get
good<00:01:17.380><c> results</c><00:01:17.740><c> still</c><00:01:18.310><c> so</c><00:01:19.180><c> that's</c><00:01:19.600><c> a</c><00:01:19.720><c> big</c><00:01:19.900><c> area</c>

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good results still so that's a big area
 

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good results still so that's a big area
focused<00:01:20.710><c> and</c><00:01:20.860><c> then</c><00:01:20.950><c> also</c><00:01:21.100><c> areas</c><00:01:21.580><c> where</c>

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focused and then also areas where
 

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focused and then also areas where
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there's sparse data cases where you
 

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there's sparse data cases where you
might<00:01:24.670><c> have</c><00:01:24.700><c> only</c><00:01:25.150><c> only</c><00:01:26.110><c> ability</c><00:01:26.710><c> to</c><00:01:26.830><c> predict</c>

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might have only only ability to predict
 

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might have only only ability to predict
based<00:01:27.430><c> on</c><00:01:27.700><c> empirical</c><00:01:28.510><c> evidence</c><00:01:29.080><c> in</c><00:01:29.470><c> a</c><00:01:29.560><c> certain</c>

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based on empirical evidence in a certain
 

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based on empirical evidence in a certain
part<00:01:30.070><c> of</c><00:01:30.190><c> the</c><00:01:30.250><c> input</c><00:01:30.670><c> space</c><00:01:30.910><c> but</c><00:01:31.240><c> then</c><00:01:31.390><c> some</c>

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part of the input space but then some
 

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part of the input space but then some
other<00:01:31.810><c> parts</c><00:01:32.320><c> maybe</c><00:01:32.860><c> you</c><00:01:33.010><c> have</c><00:01:33.160><c> no</c><00:01:33.430><c> data</c><00:01:33.670><c> at</c>

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other parts maybe you have no data at
 

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other parts maybe you have no data at
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all so I think those are also very
 

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all so I think those are also very
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challenging settings where we have a lot
 

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challenging settings where we have a lot
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more work to do is sort of a big dense
 

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more work to do is sort of a big dense
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data type of approaches are pretty well
 

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data type of approaches are pretty well
solved

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my key focus is really on applications
 

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my key focus is really on applications
of<00:01:54.200><c> machine</c><00:01:54.560><c> learning</c><00:01:54.590><c> in</c><00:01:55.210><c> huge</c><00:01:56.210><c> and</c>

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of machine learning in huge and
 

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of machine learning in huge and
interesting<00:01:57.049><c> new</c><00:01:57.520><c> deal</c><00:01:58.520><c> means</c><00:01:58.700><c> outside</c><00:01:59.030><c> of</c>

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interesting new deal means outside of
 

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interesting new deal means outside of
tech<00:01:59.690><c> you</c><00:01:59.930><c> know</c><00:02:00.080><c> I</c><00:02:00.110><c> feel</c><00:02:00.409><c> like</c><00:02:00.590><c> a</c><00:02:00.650><c> lot</c><00:02:00.799><c> of</c><00:02:01.070><c> us</c>

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tech you know I feel like a lot of us
 

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tech you know I feel like a lot of us
have<00:02:01.310><c> been</c><00:02:01.369><c> around</c><00:02:01.670><c> the</c><00:02:01.820><c> tech</c><00:02:02.030><c> world</c><00:02:02.240><c> and</c><00:02:02.600><c> in</c>

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have been around the tech world and in
 

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have been around the tech world and in
the<00:02:02.810><c> consumer</c><00:02:03.590><c> Internet</c><00:02:03.979><c> giants</c><00:02:04.640><c> like</c><00:02:04.820><c> Google</c>

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the consumer Internet giants like Google
 

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the consumer Internet giants like Google
Facebook<00:02:05.270><c> Amazon</c><00:02:05.990><c> etc</c><00:02:06.799><c> working</c><00:02:07.759><c> on</c><00:02:07.820><c> these</c>

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Facebook Amazon etc working on these
 

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Facebook Amazon etc working on these
machines<00:02:08.000><c> earning</c><00:02:08.630><c> problems</c><00:02:09.110><c> for</c><00:02:09.580><c> 15</c><00:02:10.580><c> years</c>

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machines earning problems for 15 years
 

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machines earning problems for 15 years
or<00:02:11.060><c> so</c><00:02:11.270><c> and</c><00:02:11.480><c> the</c><00:02:12.470><c> kind</c><00:02:12.890><c> of</c><00:02:12.980><c> firepower</c><00:02:13.220><c> that</c>

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or so and the kind of firepower that
 

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or so and the kind of firepower that
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we're bringing hasn't seen as much
 

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we're bringing hasn't seen as much
action<00:02:16.580><c> outside</c><00:02:17.060><c> of</c><00:02:17.630><c> these</c><00:02:18.440><c> giant</c><00:02:18.890><c> tech</c>

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action outside of these giant tech
 

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action outside of these giant tech
companies<00:02:19.459><c> in</c><00:02:19.730><c> these</c><00:02:19.880><c> other</c><00:02:20.060><c> totally</c>

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companies in these other totally
 

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companies in these other totally
different<00:02:21.020><c> domains</c><00:02:21.380><c> so</c><00:02:22.040><c> my</c><00:02:22.250><c> personal</c><00:02:22.670><c> focus</c>

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different domains so my personal focus
 

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different domains so my personal focus
is<00:02:23.390><c> on</c><00:02:23.510><c> trying</c><00:02:23.750><c> to</c><00:02:23.780><c> find</c><00:02:23.989><c> those</c><00:02:24.200><c> business</c>

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is on trying to find those business
 

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is on trying to find those business
problems<00:02:25.010><c> and</c><00:02:25.190><c> interesting</c><00:02:25.730><c> technical</c>

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problems and interesting technical
 

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problems and interesting technical
problems<00:02:26.600><c> that</c><00:02:26.780><c> underlie</c><00:02:27.430><c> completely</c><00:02:28.430><c> new</c>

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problems that underlie completely new
 

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problems that underlie completely new
areas<00:02:29.300><c> where</c><00:02:29.630><c> you</c><00:02:29.930><c> don't</c><00:02:30.440><c> see</c><00:02:30.590><c> a</c><00:02:30.739><c> lot</c><00:02:30.950><c> of</c><00:02:30.980><c> the</c>

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areas where you don't see a lot of the
 

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areas where you don't see a lot of the
technical<00:02:31.400><c> firepower</c><00:02:32.030><c> in</c><00:02:32.209><c> Silicon</c><00:02:32.630><c> Valley</c>

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technical firepower in Silicon Valley
 

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technical firepower in Silicon Valley
currently<00:02:33.530><c> pointing</c><00:02:38.709><c> for</c><00:02:39.709><c> me</c><00:02:40.060><c> it's</c><00:02:41.060><c> it's</c>

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currently pointing for me it's it's
 

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currently pointing for me it's it's
great<00:02:41.870><c> to</c><00:02:42.019><c> be</c><00:02:42.080><c> able</c><00:02:42.200><c> to</c><00:02:42.350><c> come</c><00:02:42.560><c> out</c><00:02:42.819><c> to</c><00:02:44.410><c> these</c>

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great to be able to come out to these
 

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great to be able to come out to these
these<00:02:45.830><c> events</c><00:02:46.250><c> right</c><00:02:46.519><c> now</c><00:02:46.819><c> having</c><00:02:47.660><c> gathered</c>

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these events right now having gathered
 

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these events right now having gathered
an<00:02:48.470><c> experience</c><00:02:49.010><c> of</c><00:02:49.430><c> doing</c><00:02:49.640><c> this</c><00:02:49.880><c> stuff</c><00:02:50.150><c> for</c>

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an experience of doing this stuff for
 

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an experience of doing this stuff for
such<00:02:50.540><c> a</c><00:02:50.569><c> long</c><00:02:50.810><c> period</c><00:02:50.870><c> of</c><00:02:51.200><c> time</c><00:02:51.260><c> and</c><00:02:51.620><c> to</c><00:02:52.190><c> be</c>

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such a long period of time and to be
 

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such a long period of time and to be
able<00:02:52.430><c> to</c><00:02:52.670><c> just</c><00:02:52.850><c> share</c><00:02:53.180><c> some</c><00:02:54.079><c> of</c><00:02:54.110><c> those</c>

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able to just share some of those
 

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able to just share some of those
insights<00:02:54.680><c> that</c><00:02:54.890><c> I</c><00:02:55.070><c> know</c><00:02:55.220><c> you</c><00:02:55.970><c> know</c><00:02:56.090><c> maybe</c><00:02:57.019><c> not</c>

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insights that I know you know maybe not
 

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insights that I know you know maybe not
everyone's<00:02:57.650><c> paying</c><00:02:57.890><c> attention</c><00:02:58.310><c> to</c><00:02:58.400><c> but</c><00:02:58.579><c> a</c><00:02:58.610><c> few</c>

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everyone's paying attention to but a few
 

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everyone's paying attention to but a few
people<00:02:59.180><c> might</c><00:02:59.360><c> avoid</c><00:02:59.720><c> you</c><00:03:00.590><c> know</c><00:03:00.709><c> some</c><00:03:01.010><c> huge</c>

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people might avoid you know some huge
 

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people might avoid you know some huge
stumbling<00:03:01.670><c> blocks</c><00:03:02.120><c> or</c><00:03:02.450><c> mistakes</c><00:03:02.989><c> or</c><00:03:03.200><c> failures</c>

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stumbling blocks or mistakes or failures
 

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stumbling blocks or mistakes or failures
or<00:03:04.190><c> waste</c><00:03:04.459><c> of</c><00:03:04.670><c> time</c><00:03:04.880><c> and</c><00:03:04.940><c> money</c><00:03:05.180><c> and</c><00:03:05.540><c> energy</c>

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or waste of time and money and energy
 

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or waste of time and money and energy
and<00:03:06.650><c> so</c><00:03:06.859><c> that's</c><00:03:07.040><c> awesome</c><00:03:07.459><c> right</c><00:03:07.489><c> I</c><00:03:07.640><c> really</c>

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and so that's awesome right I really
 

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and so that's awesome right I really
enjoyed<00:03:08.780><c> just</c><00:03:08.989><c> being</c><00:03:09.049><c> able</c><00:03:09.290><c> to</c><00:03:09.470><c> come</c><00:03:09.620><c> out</c><00:03:09.650><c> and</c>

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enjoyed just being able to come out and
 

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enjoyed just being able to come out and
share<00:03:10.220><c> some</c><00:03:11.150><c> of</c><00:03:11.180><c> the</c><00:03:11.329><c> experience</c><00:03:11.870><c> viewpoint</c>

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share some of the experience viewpoint
 

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share some of the experience viewpoint
of<00:03:12.470><c> someone's</c><00:03:13.280><c> doing</c><00:03:13.609><c> this</c><00:03:13.910><c> for</c><00:03:14.209><c> quite</c><00:03:14.359><c> some</c>

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of someone's doing this for quite some
 

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of someone's doing this for quite some
time<00:03:14.660><c> and</c><00:03:15.109><c> have</c><00:03:15.859><c> people</c><00:03:16.100><c> come</c><00:03:16.370><c> up</c><00:03:16.400><c> afterwards</c>

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time and have people come up afterwards
 

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time and have people come up afterwards
and<00:03:17.150><c> ask</c><00:03:17.299><c> different</c><00:03:17.540><c> questions</c><00:03:17.720><c> which</c><00:03:18.230><c> are</c>

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and ask different questions which are
 

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and ask different questions which are
smart<00:03:18.829><c> questions</c><00:03:19.310><c> and</c><00:03:19.519><c> obviously</c><00:03:19.910><c> they're</c>

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smart questions and obviously they're
 

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smart questions and obviously they're
thinking<00:03:20.959><c> about</c><00:03:21.019><c> some</c><00:03:21.410><c> of</c><00:03:21.470><c> these</c><00:03:21.530><c> issues</c><00:03:21.590><c> and</c>

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thinking about some of these issues and
 

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thinking about some of these issues and
trying<00:03:22.280><c> to</c><00:03:22.459><c> avoid</c><00:03:22.700><c> some</c><00:03:23.060><c> of</c><00:03:23.090><c> the</c><00:03:23.269><c> same</c><00:03:23.500><c> sort</c><00:03:24.500><c> of</c>

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trying to avoid some of the same sort of
 

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trying to avoid some of the same sort of
roadblocks<00:03:25.100><c> that</c><00:03:25.459><c> I</c><00:03:25.640><c> am</c><00:03:26.120><c> mentioning</c><00:03:26.450><c> so</c><00:03:26.959><c> for</c>

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roadblocks that I am mentioning so for
 

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roadblocks that I am mentioning so for
me<00:03:27.739><c> that's</c><00:03:27.890><c> great</c><00:03:28.220><c> just</c><00:03:28.489><c> to</c><00:03:28.579><c> be</c><00:03:28.730><c> able</c><00:03:28.790><c> to</c><00:03:29.000><c> share</c>

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me that's great just to be able to share
 

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me that's great just to be able to share
that<00:03:29.390><c> and</c><00:03:29.840><c> help</c><00:03:30.079><c> other</c><00:03:30.260><c> people</c><00:03:30.590><c> avoid</c><00:03:30.859><c> some</c>

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that and help other people avoid some
 

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that and help other people avoid some
pain<00:03:31.400><c> right</c><00:03:31.720><c> suppose</c><00:03:32.720><c> I</c><00:03:32.750><c> think</c><00:03:32.900><c> that's</c><00:03:33.140><c> that's</c>

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pain right suppose I think that's that's
 

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pain right suppose I think that's that's
the<00:03:33.739><c> thing</c><00:03:33.950><c> for</c><00:03:33.980><c> me</c>

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the thing for me
 

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the thing for me
you

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you
 

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you
[Music]

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you