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I'm<00:00:12.780><c> smear</c><00:00:13.139><c> Rama</c><00:00:13.530><c> and</c><00:00:13.559><c> I'm</c><00:00:13.740><c> the</c><00:00:14.009><c> lead</c><00:00:14.340><c> of</c><00:00:14.490><c> the</c>

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I'm smear Rama and I'm the lead of the
 

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I'm smear Rama and I'm the lead of the
data<00:00:14.759><c> engineering</c><00:00:15.210><c> team</c><00:00:15.450><c> at</c><00:00:15.599><c> Madame</c><00:00:15.839><c> arc</c><00:00:21.740><c> I</c>

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data engineering team at Madame arc I
 

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data engineering team at Madame arc I
think<00:00:23.369><c> it's</c><00:00:23.789><c> the</c><00:00:24.060><c> most</c><00:00:24.269><c> exciting</c><00:00:24.720><c> thing</c><00:00:24.869><c> would</c>

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think it's the most exciting thing would
 

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think it's the most exciting thing would
be<00:00:25.109><c> sharing</c><00:00:25.560><c> the</c><00:00:25.800><c> cool</c><00:00:25.980><c> stuff</c><00:00:26.369><c> we've</c><00:00:26.580><c> been</c>

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be sharing the cool stuff we've been
 

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be sharing the cool stuff we've been
working<00:00:26.910><c> on</c><00:00:27.240><c> at</c><00:00:27.570><c> Madame</c><00:00:27.930><c> arc</c><00:00:28.080><c> I</c><00:00:28.769><c> think</c><00:00:29.689><c> getting</c>

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working on at Madame arc I think getting
 

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working on at Madame arc I think getting
sharing<00:00:31.650><c> those</c><00:00:31.800><c> insights</c><00:00:32.270><c> will</c><00:00:33.270><c> be</c><00:00:33.450><c> very</c>

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sharing those insights will be very
 

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sharing those insights will be very
helpful<00:00:34.079><c> for</c><00:00:34.290><c> a</c><00:00:34.590><c> lot</c><00:00:34.649><c> of</c><00:00:34.800><c> other</c><00:00:34.980><c> people</c><00:00:35.190><c> who</c>

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helpful for a lot of other people who
 

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helpful for a lot of other people who
may<00:00:35.850><c> be</c><00:00:35.910><c> trying</c><00:00:36.120><c> to</c><00:00:36.239><c> do</c><00:00:36.360><c> the</c><00:00:36.450><c> same</c><00:00:36.630><c> things</c>

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I<00:00:45.560><c> think</c><00:00:46.340><c> data</c><00:00:46.489><c> has</c><00:00:46.670><c> always</c><00:00:47.000><c> been</c><00:00:47.180><c> exciting</c>

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I think data has always been exciting
 

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I think data has always been exciting
and<00:00:48.079><c> cool</c><00:00:48.230><c> but</c><00:00:48.880><c> maybe</c><00:00:49.880><c> it's</c><00:00:50.059><c> getting</c><00:00:50.360><c> a</c><00:00:50.420><c> lot</c>

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and cool but maybe it's getting a lot
 

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and cool but maybe it's getting a lot
more<00:00:51.250><c> attention</c><00:00:52.250><c> nowadays</c><00:00:53.239><c> compared</c><00:00:54.230><c> to</c><00:00:54.379><c> in</c>

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more attention nowadays compared to in
 

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more attention nowadays compared to in
the<00:00:54.950><c> past</c><00:00:55.100><c> because</c><00:00:55.400><c> a</c><00:00:55.820><c> lot</c><00:00:56.809><c> of</c><00:00:56.840><c> the</c><00:00:56.989><c> bigger</c>

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the past because a lot of the bigger
 

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the past because a lot of the bigger
companies<00:00:57.920><c> have</c><00:00:58.430><c> realized</c><00:00:59.019><c> other</c><00:01:00.019><c> than</c>

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companies have realized other than
 

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companies have realized other than
Google<00:01:00.620><c> and</c><00:01:00.710><c> Facebook</c><00:01:00.830><c> and</c><00:01:01.129><c> these</c><00:01:01.820><c> companies</c>

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Google and Facebook and these companies
 

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Google and Facebook and these companies
Microsoft<00:01:02.750><c> that</c><00:01:02.960><c> new</c><00:01:03.199><c> in</c><00:01:03.350><c> the</c><00:01:03.440><c> past</c><00:01:03.650><c> the</c><00:01:03.860><c> data</c>

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Microsoft that new in the past the data
 

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Microsoft that new in the past the data
was<00:01:04.190><c> important</c><00:01:04.670><c> a</c><00:01:05.150><c> lot</c><00:01:05.509><c> of</c><00:01:05.660><c> like</c><00:01:06.110><c> mainstream</c>

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was important a lot of like mainstream
 

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was important a lot of like mainstream
companies<00:01:07.220><c> have</c><00:01:07.369><c> realized</c><00:01:07.700><c> oh</c><00:01:07.880><c> we</c><00:01:08.240><c> can</c><00:01:08.360><c> make</c><00:01:08.509><c> a</c>

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companies have realized oh we can make a
 

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companies have realized oh we can make a
lot<00:01:08.750><c> of</c><00:01:08.780><c> money</c><00:01:08.960><c> out</c><00:01:09.050><c> of</c><00:01:09.170><c> data</c><00:01:09.610><c> so</c><00:01:10.610><c> now</c><00:01:11.920><c> even</c>

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lot of money out of data so now even
 

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lot of money out of data so now even
though<00:01:13.190><c> I</c><00:01:13.520><c> would</c><00:01:13.790><c> say</c><00:01:13.940><c> it's</c><00:01:14.030><c> always</c><00:01:14.330><c> been</c><00:01:14.509><c> cool</c>

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though I would say it's always been cool
 

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though I would say it's always been cool
it's<00:01:15.050><c> cool</c><00:01:15.259><c> because</c><00:01:15.619><c> it's</c><00:01:15.860><c> making</c><00:01:16.220><c> a</c><00:01:16.280><c> lot</c><00:01:16.430><c> of</c>

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it's cool because it's making a lot of
 

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it's cool because it's making a lot of
money<00:01:24.490><c> I</c><00:01:25.490><c> would</c><00:01:25.940><c> say</c><00:01:26.979><c> there's</c><00:01:27.979><c> all</c><00:01:28.190><c> like</c><00:01:28.520><c> you</c>

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money I would say there's all like you
 

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money I would say there's all like you
can<00:01:28.910><c> build</c><00:01:29.300><c> your</c><00:01:29.420><c> own</c><00:01:29.539><c> search</c><00:01:29.990><c> for</c><00:01:30.380><c> your</c><00:01:30.710><c> own</c>

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can build your own search for your own
 

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can build your own search for your own
information<00:01:30.860><c> and</c><00:01:32.440><c> it</c><00:01:33.440><c> will</c><00:01:33.619><c> probably</c><00:01:33.920><c> do</c><00:01:34.280><c> a</c>

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information and it will probably do a
 

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information and it will probably do a
lot<00:01:34.399><c> better</c><00:01:34.670><c> than</c><00:01:34.970><c> the</c><00:01:35.450><c> appliances</c><00:01:36.110><c> that</c><00:01:36.259><c> are</c>

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lot better than the appliances that are
 

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lot better than the appliances that are
out<00:01:36.470><c> there</c><00:01:36.500><c> today</c><00:01:36.950><c> so</c><00:01:37.070><c> if</c><00:01:37.369><c> you</c><00:01:37.490><c> have</c><00:01:38.050><c> documents</c>

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out there today so if you have documents
 

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out there today so if you have documents
that<00:01:39.170><c> you</c><00:01:39.259><c> want</c><00:01:39.410><c> to</c><00:01:39.500><c> share</c><00:01:39.649><c> with</c><00:01:39.710><c> your</c>

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that you want to share with your
 

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that you want to share with your
customers<00:01:40.399><c> and</c><00:01:40.780><c> there's</c><00:01:41.780><c> like</c><00:01:41.929><c> millions</c><00:01:42.350><c> of</c>

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customers and there's like millions of
 

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customers and there's like millions of
documents<00:01:42.640><c> the</c><00:01:43.640><c> typical</c><00:01:44.270><c> thing</c><00:01:44.420><c> to</c><00:01:44.570><c> do</c><00:01:44.690><c> would</c>

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documents the typical thing to do would
 

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documents the typical thing to do would
be<00:01:44.899><c> to</c><00:01:45.020><c> use</c><00:01:45.410><c> elastic</c><00:01:45.679><c> search</c><00:01:46.009><c> to</c><00:01:46.400><c> allow</c><00:01:46.939><c> people</c>

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be to use elastic search to allow people
 

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be to use elastic search to allow people
to<00:01:47.689><c> search</c><00:01:47.990><c> those</c><00:01:48.530><c> documents</c><00:01:49.450><c> turns</c><00:01:50.450><c> out</c><00:01:50.630><c> that</c>

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to search those documents turns out that
 

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to search those documents turns out that
might<00:01:50.990><c> not</c><00:01:51.110><c> be</c><00:01:51.170><c> the</c><00:01:51.409><c> best</c><00:01:51.590><c> way</c><00:01:51.740><c> to</c><00:01:52.150><c> like</c><00:01:53.150><c> give</c>

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might not be the best way to like give
 

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might not be the best way to like give
your<00:01:53.450><c> customers</c><00:01:53.750><c> the</c><00:01:54.140><c> best</c><00:01:54.200><c> experience</c><00:01:54.799><c> so</c>

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your customers the best experience so
 

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your customers the best experience so
maybe<00:01:56.750><c> you</c><00:01:56.900><c> can</c><00:01:57.049><c> learn</c><00:01:57.140><c> how</c><00:01:57.200><c> to</c><00:01:58.060><c> give</c><00:01:59.060><c> your</c>

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maybe you can learn how to give your
 

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maybe you can learn how to give your
customers<00:01:59.329><c> a</c><00:01:59.600><c> better</c><00:01:59.810><c> experience</c><00:02:00.110><c> in</c>

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customers a better experience in
 

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customers a better experience in
searching<00:02:00.740><c> through</c><00:02:00.920><c> your</c><00:02:01.100><c> information</c>

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well<00:02:11.230><c> I</c><00:02:11.470><c> can</c><00:02:11.680><c> maybe</c><00:02:11.890><c> answer</c><00:02:12.310><c> the</c><00:02:12.460><c> first</c><00:02:12.580><c> one</c>

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well I can maybe answer the first one
 

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well I can maybe answer the first one
all<00:02:14.410><c> you</c><00:02:15.010><c> should</c><00:02:15.160><c> ask</c><00:02:15.310><c> other</c><00:02:15.640><c> people</c><00:02:16.000><c> for</c><00:02:16.030><c> the</c>

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all you should ask other people for the
 

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all you should ask other people for the
second<00:02:16.570><c> one</c><00:02:17.460><c> but</c><00:02:18.460><c> I</c><00:02:18.760><c> think</c><00:02:19.390><c> what</c><00:02:19.690><c> you</c><00:02:20.290><c> should</c>

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second one but I think what you should
 

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second one but I think what you should
focus<00:02:20.530><c> on</c><00:02:21.100><c> is</c><00:02:21.660><c> building</c><00:02:22.660><c> core</c><00:02:22.960><c> software</c>

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focus on is building core software
 

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focus on is building core software
engineering<00:02:23.800><c> skills</c><00:02:24.190><c> and</c><00:02:24.430><c> then</c><00:02:24.520><c> core</c>

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engineering skills and then core
 

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engineering skills and then core
mathematical<00:02:25.810><c> skills</c><00:02:26.110><c> on</c><00:02:27.210><c> the</c><00:02:28.210><c> types</c><00:02:28.480><c> of</c>

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mathematical skills on the types of
 

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mathematical skills on the types of
things<00:02:28.810><c> that</c><00:02:28.990><c> soft</c><00:02:30.120><c> kind</c><00:02:31.120><c> of</c><00:02:31.240><c> machine</c>

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things that soft kind of machine
 

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things that soft kind of machine
learning<00:02:31.930><c> and</c><00:02:32.470><c> neural</c><00:02:33.040><c> networks</c><00:02:33.480><c> requires</c><00:02:34.480><c> so</c>

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learning and neural networks requires so
 

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learning and neural networks requires so
like<00:02:35.050><c> linear</c><00:02:35.440><c> algebra</c><00:02:35.950><c> and</c><00:02:36.780><c> a</c><00:02:37.780><c> a</c><00:02:39.120><c> lot</c><00:02:40.120><c> of</c><00:02:40.920><c> kind</c>

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like linear algebra and a a lot of kind
 

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like linear algebra and a a lot of kind
of<00:02:41.980><c> convex</c><00:02:42.460><c> optimization</c><00:02:42.610><c> type</c><00:02:43.450><c> problems</c>

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of convex optimization type problems
 

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of convex optimization type problems
like<00:02:44.470><c> those</c><00:02:44.680><c> are</c><00:02:44.860><c> the</c><00:02:44.980><c> kinds</c><00:02:45.850><c> of</c><00:02:45.940><c> strengths</c>

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like those are the kinds of strengths
 

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like those are the kinds of strengths
that<00:02:46.870><c> when</c><00:02:47.620><c> you</c><00:02:47.710><c> come</c><00:02:47.920><c> into</c><00:02:48.210><c> machine</c><00:02:49.210><c> learning</c>

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that when you come into machine learning
 

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that when you come into machine learning
with<00:02:49.660><c> the</c><00:02:49.870><c> stats</c><00:02:50.200><c> background</c><00:02:50.770><c> with</c><00:02:50.890><c> the</c><00:02:50.980><c> lish</c>

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with the stats background with the lish
 

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with the stats background with the lish
linear<00:02:51.820><c> algebra</c><00:02:52.120><c> background</c><00:02:52.540><c> and</c><00:02:52.830><c> with</c><00:02:53.830><c> the</c>

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linear algebra background and with the
 

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linear algebra background and with the
ability<00:02:54.160><c> to</c><00:02:54.400><c> code</c><00:02:55.290><c> actual</c><00:02:56.290><c> production</c><00:02:57.180><c> models</c>

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ability to code actual production models
 

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ability to code actual production models
that<00:02:58.900><c> that</c><00:02:59.230><c> gives</c><00:02:59.440><c> you</c><00:02:59.560><c> a</c><00:02:59.590><c> huge</c><00:02:59.830><c> step</c><00:03:00.160><c> up</c><00:03:00.570><c> even</c>

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that that gives you a huge step up even
 

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that that gives you a huge step up even
if<00:03:01.690><c> you</c><00:03:01.780><c> don't</c><00:03:02.050><c> know</c><00:03:02.260><c> the</c><00:03:03.190><c> hottest</c><00:03:03.880><c> algorithms</c>

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if you don't know the hottest algorithms
 

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if you don't know the hottest algorithms
you<00:03:04.750><c> probably</c><00:03:05.320><c> will</c><00:03:05.680><c> intuitively</c><00:03:06.460><c> understand</c>

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you probably will intuitively understand
 

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you probably will intuitively understand
them<00:03:07.450><c> better</c><00:03:07.660><c> when</c><00:03:07.930><c> you</c><00:03:08.050><c> start</c><00:03:08.290><c> reading</c><00:03:08.440><c> about</c>

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them better when you start reading about
 

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them better when you start reading about
them

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you