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my<00:00:13.679><c> name's</c><00:00:13.920><c> Oscar</c><00:00:14.099><c> Boykin</c><00:00:14.700><c> I</c><00:00:15.000><c> work</c><00:00:15.300><c> at</c><00:00:15.450><c> stripe</c>

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my name's Oscar Boykin I work at stripe
 

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my name's Oscar Boykin I work at stripe
I'm<00:00:16.230><c> a</c><00:00:16.320><c> machine</c><00:00:16.710><c> learning</c><00:00:17.070><c> infrastructure</c>

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I'm a machine learning infrastructure
 

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I'm a machine learning infrastructure
engineer

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[Music]

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this<00:00:27.890><c> is</c><00:00:28.040><c> not</c><00:00:28.190><c> my</c><00:00:28.370><c> first</c><00:00:28.550><c> time</c><00:00:28.730><c> speaking</c><00:00:28.940><c> in</c>

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this is not my first time speaking in
 

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this is not my first time speaking in
Scala<00:00:29.300><c> by</c><00:00:29.420><c> the</c><00:00:29.480><c> bay</c><00:00:29.660><c> scale</c><00:00:30.140><c> by</c><00:00:30.290><c> the</c><00:00:30.350><c> bay</c><00:00:30.530><c> you</c>

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Scala by the bay scale by the bay you
 

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Scala by the bay scale by the bay you
can<00:00:30.890><c> tell</c><00:00:31.100><c> by</c><00:00:31.250><c> just</c><00:00:31.280><c> my</c><00:00:32.029><c> slip</c><00:00:32.390><c> I've</c><00:00:32.599><c> been</c><00:00:32.750><c> doing</c>

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can tell by just my slip I've been doing
 

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can tell by just my slip I've been doing
it<00:00:33.020><c> for</c><00:00:33.050><c> a</c><00:00:33.230><c> few</c><00:00:33.410><c> years</c><00:00:33.650><c> it</c><00:00:33.920><c> used</c><00:00:33.950><c> to</c><00:00:34.250><c> be</c><00:00:34.400><c> go</c>

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it for a few years it used to be go
 

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it for a few years it used to be go
under<00:00:34.910><c> a</c><00:00:34.940><c> different</c><00:00:35.090><c> name</c><00:00:35.420><c> I</c><00:00:36.730><c> first</c><00:00:37.730><c> spoke</c><00:00:38.450><c> a</c>

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under a different name I first spoke a
 

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under a different name I first spoke a
few<00:00:38.780><c> years</c><00:00:38.989><c> ago</c><00:00:39.200><c> when</c><00:00:40.040><c> I</c><00:00:40.130><c> was</c><00:00:40.580><c> working</c><00:00:40.820><c> at</c>

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few years ago when I was working at
 

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few years ago when I was working at
Twitter<00:00:41.170><c> Twitter</c><00:00:42.170><c> had</c><00:00:42.350><c> it</c><00:00:42.440><c> has</c><00:00:42.620><c> a</c><00:00:42.680><c> close</c>

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Twitter Twitter had it has a close
 

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Twitter Twitter had it has a close
relationship<00:00:43.010><c> because</c><00:00:43.850><c> of</c><00:00:43.879><c> Scala</c><00:00:44.720><c> interests</c>

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relationship because of Scala interests
 

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relationship because of Scala interests
and<00:00:45.650><c> a</c><00:00:45.739><c> lot</c><00:00:46.340><c> of</c><00:00:46.520><c> that</c><00:00:46.760><c> is</c><00:00:47.180><c> a</c><00:00:47.239><c> big</c><00:00:47.600><c> overlap</c><00:00:47.870><c> with</c>

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and a lot of that is a big overlap with
 

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and a lot of that is a big overlap with
the<00:00:48.350><c> community</c><00:00:48.739><c> that's</c><00:00:48.860><c> still</c><00:00:49.129><c> here</c><00:00:58.420><c> my</c>

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the community that's still here my
 

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the community that's still here my
favorite<00:00:59.809><c> part</c><00:01:00.020><c> of</c><00:01:00.050><c> the</c><00:01:00.140><c> talk</c><00:01:00.380><c> is</c><00:01:00.649><c> just</c><00:01:01.190><c> kind</c>

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favorite part of the talk is just kind
 

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favorite part of the talk is just kind
of<00:01:01.399><c> like</c><00:01:01.660><c> I</c><00:01:02.660><c> think</c><00:01:03.170><c> we're</c><00:01:03.320><c> seeing</c><00:01:04.190><c> early</c><00:01:04.729><c> days</c>

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of like I think we're seeing early days
 

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of like I think we're seeing early days
of<00:01:05.300><c> how</c><00:01:06.110><c> machine</c><00:01:06.560><c> learning</c><00:01:06.979><c> is</c><00:01:07.100><c> going</c><00:01:07.610><c> to</c><00:01:07.820><c> be</c>

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of how machine learning is going to be
 

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of how machine learning is going to be
you<00:01:08.540><c> know</c><00:01:08.630><c> run</c><00:01:09.290><c> how</c><00:01:09.530><c> it's</c><00:01:09.649><c> going</c><00:01:09.770><c> to</c><00:01:09.830><c> be</c><00:01:09.890><c> scored</c>

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you know run how it's going to be scored
 

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you know run how it's going to be scored
how<00:01:10.820><c> are</c><00:01:10.940><c> people</c><00:01:11.030><c> going</c><00:01:11.270><c> to</c><00:01:11.330><c> like</c><00:01:11.509><c> use</c><00:01:12.020><c> this</c>

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how are people going to like use this
 

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how are people going to like use this
and<00:01:12.440><c> build</c><00:01:12.649><c> it</c><00:01:12.770><c> into</c><00:01:12.920><c> their</c><00:01:13.070><c> production</c>

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and build it into their production
 

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and build it into their production
systems<00:01:13.850><c> so</c><00:01:14.270><c> I</c><00:01:14.300><c> think</c><00:01:14.470><c> people</c><00:01:15.470><c> who</c><00:01:15.710><c> kind</c><00:01:15.950><c> of</c><00:01:16.009><c> my</c>

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systems so I think people who kind of my
 

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systems so I think people who kind of my
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talk will be able to learn a little bit
 

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talk will be able to learn a little bit
about<00:01:17.360><c> a</c><00:01:17.570><c> new</c><00:01:17.810><c> format</c><00:01:18.229><c> called</c><00:01:18.470><c> onyx</c><00:01:18.979><c> which</c><00:01:19.490><c> is</c>

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about a new format called onyx which is
 

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about a new format called onyx which is
an<00:01:19.820><c> intermediate</c><00:01:20.360><c> representation</c><00:01:20.750><c> for</c>

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an intermediate representation for
 

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an intermediate representation for
different<00:01:22.369><c> machine</c><00:01:22.610><c> learning</c><00:01:22.910><c> models</c><00:01:23.240><c> we're</c>

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different machine learning models we're
 

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different machine learning models we're
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not really there yet of a world of like
 

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not really there yet of a world of like
Java<00:01:26.060><c> class</c><00:01:26.509><c> files</c><00:01:26.840><c> or</c><00:01:27.140><c> whatever</c><00:01:27.350><c> for</c><00:01:27.590><c> machine</c>

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Java class files or whatever for machine
 

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Java class files or whatever for machine
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learning but onyx is kind of like trying
 

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learning but onyx is kind of like trying
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to take us a little bit in that
 

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to take us a little bit in that
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direction so it'll be interesting to see
 

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direction so it'll be interesting to see
in<00:01:33.080><c> the</c><00:01:33.170><c> next</c><00:01:33.350><c> couple</c><00:01:33.560><c> of</c><00:01:33.590><c> years</c><00:01:33.830><c> if</c><00:01:34.069><c> onyx</c><00:01:34.429><c> is</c>

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in the next couple of years if onyx is
 

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in the next couple of years if onyx is
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going to be a standard that really
 

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going to be a standard that really
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catches on but in any case people can
 

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catches on but in any case people can
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yeah<00:01:49.940><c> so</c><00:01:51.370><c> the</c><00:01:52.370><c> fact</c><00:01:52.580><c> of</c><00:01:52.730><c> the</c><00:01:52.820><c> matter</c><00:01:52.880><c> is</c><00:01:53.120><c> even</c>

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yeah so the fact of the matter is even
 

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yeah so the fact of the matter is even
though<00:01:53.690><c> a</c><00:01:53.720><c> lot</c><00:01:53.900><c> of</c><00:01:53.990><c> people</c><00:01:54.230><c> here</c><00:01:54.440><c> at</c><00:01:54.530><c> stripe</c>

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though a lot of people here at stripe
 

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though a lot of people here at stripe
like<00:01:55.240><c> sorry</c><00:01:56.240><c> a</c><00:01:56.300><c> lot</c><00:01:56.420><c> of</c><00:01:56.510><c> people</c><00:01:56.690><c> here</c><00:01:56.810><c> at</c><00:01:56.900><c> the</c>

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like sorry a lot of people here at the
 

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like sorry a lot of people here at the
scale<00:01:57.140><c> by</c><00:01:57.290><c> the</c><00:01:57.350><c> bay</c><00:01:57.590><c> like</c><00:01:57.920><c> like</c><00:01:58.520><c> Scala</c><00:01:58.820><c> from</c>

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scale by the bay like like Scala from
 

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scale by the bay like like Scala from
machine<00:01:59.960><c> learning</c><00:02:00.640><c> Python</c><00:02:01.640><c> is</c><00:02:02.210><c> where</c>

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machine learning Python is where
 

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machine learning Python is where
everyone's<00:02:03.110><c> using</c><00:02:03.440><c> Python</c><00:02:04.090><c> for</c><00:02:05.090><c> the</c><00:02:05.150><c> most</c>

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everyone's using Python for the most
 

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everyone's using Python for the most
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part to train their machine learning
 

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part to train their machine learning
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models but on the server side at stripe
 

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models but on the server side at stripe
we<00:02:10.190><c> don't</c><00:02:10.580><c> really</c><00:02:10.910><c> have</c><00:02:11.420><c> any</c><00:02:12.230><c> Python</c><00:02:13.070><c> services</c>

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we don't really have any Python services
 

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we don't really have any Python services
so<00:02:14.120><c> we</c><00:02:14.690><c> were</c><00:02:14.810><c> really</c><00:02:14.990><c> struggling</c><00:02:15.260><c> with</c><00:02:15.530><c> this</c>

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so we were really struggling with this
 

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so we were really struggling with this
question<00:02:15.650><c> of</c><00:02:15.980><c> how</c><00:02:16.160><c> can</c><00:02:16.220><c> we</c><00:02:16.459><c> get</c><00:02:16.610><c> deep</c><00:02:17.180><c> learning</c>

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question of how can we get deep learning
 

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question of how can we get deep learning
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models out there how can we give more
 

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models out there how can we give more
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more models for more applications and
 

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more models for more applications and
continue<00:02:22.370><c> to</c><00:02:22.489><c> use</c><00:02:22.640><c> our</c><00:02:22.940><c> existing</c><00:02:23.060><c> Scala</c>

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continue to use our existing Scala
 

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continue to use our existing Scala
infrastructure<00:02:24.470><c> so</c><00:02:24.860><c> my</c><00:02:25.400><c> work</c><00:02:25.610><c> will</c><00:02:25.790><c> talk</c>

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infrastructure so my work will talk
 

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infrastructure so my work will talk
about<00:02:26.090><c> a</c><00:02:26.209><c> library</c><00:02:26.720><c> that</c><00:02:26.750><c> we</c><00:02:26.989><c> wrote</c><00:02:27.260><c> that</c>

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about a library that we wrote that
 

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about a library that we wrote that
allowed<00:02:27.800><c> us</c><00:02:28.010><c> to</c><00:02:28.040><c> take</c><00:02:28.310><c> these</c><00:02:28.430><c> models</c><00:02:28.970><c> or</c><00:02:29.060><c> train</c>

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allowed us to take these models or train
 

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allowed us to take these models or train
in<00:02:29.540><c> Python</c><00:02:29.930><c> but</c><00:02:30.440><c> would</c><00:02:30.800><c> score</c><00:02:31.130><c> them</c><00:02:31.310><c> and</c><00:02:31.340><c> run</c>

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in Python but would score them and run
 

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in Python but would score them and run
them<00:02:31.820><c> on</c><00:02:31.970><c> our</c><00:02:32.239><c> existing</c><00:02:32.480><c> java</c><00:02:33.250><c> virtual</c>

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them on our existing java virtual
 

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them on our existing java virtual
machine<00:02:34.459><c> based</c><00:02:35.030><c> written</c><00:02:35.780><c> in</c><00:02:35.840><c> scala</c><00:02:36.110><c> systems</c>

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machine based written in scala systems
 

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machine based written in scala systems
[Music]

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yeah<00:02:46.349><c> well</c><00:02:47.360><c> Brian</c><00:02:48.360><c> Cantrell's</c><00:02:49.349><c> talk</c><00:02:49.680><c> was</c>

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yeah well Brian Cantrell's talk was
 

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yeah well Brian Cantrell's talk was
really<00:02:50.790><c> amazing</c><00:02:51.000><c> on</c><00:02:51.420><c> just</c><00:02:52.230><c> you</c><00:02:52.409><c> know</c><00:02:52.500><c> Moore's</c>

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really amazing on just you know Moore's
 

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really amazing on just you know Moore's
law<00:02:52.980><c> rights</c><00:02:53.400><c> law</c><00:02:54.140><c> amazing</c><00:02:55.140><c> talk</c><00:02:55.349><c> everyone</c>

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law rights law amazing talk everyone
 

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law rights law amazing talk everyone
worse<00:02:57.060><c> worth</c><00:02:57.450><c> the</c><00:02:57.599><c> price</c><00:02:57.780><c> of</c><00:02:57.840><c> admission</c><00:02:58.019><c> to</c>

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worse worth the price of admission to
 

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worse worth the price of admission to
scale<00:02:59.099><c> by</c><00:02:59.190><c> the</c><00:02:59.220><c> bay</c><00:02:59.370><c> alone</c><00:02:59.640><c> so</c><00:02:59.940><c> I</c><00:02:59.970><c> highly</c>

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scale by the bay alone so I highly
 

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scale by the bay alone so I highly
recommend<00:03:00.390><c> everyone</c><00:03:00.810><c> take</c><00:03:01.170><c> a</c><00:03:01.200><c> look</c><00:03:01.379><c> at</c><00:03:01.440><c> that</c>

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recommend everyone take a look at that
 

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recommend everyone take a look at that
one<00:03:01.709><c> oh</c><00:03:01.830><c> but</c><00:03:01.980><c> there</c><00:03:02.099><c> are</c><00:03:02.160><c> so</c><00:03:02.310><c> many</c><00:03:02.370><c> really</c><00:03:02.760><c> good</c>

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one oh but there are so many really good
 

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one oh but there are so many really good
talks<00:03:03.180><c> it's</c><00:03:03.420><c> hard</c><00:03:04.319><c> to</c><00:03:04.379><c> pick</c><00:03:05.299><c> yeah</c><00:03:06.299><c> that's</c>

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talks it's hard to pick yeah that's
 

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talks it's hard to pick yeah that's
right<00:03:07.290><c> pick</c><00:03:07.590><c> a</c><00:03:07.620><c> few</c><00:03:07.829><c> it's</c><00:03:08.040><c> a</c><00:03:08.099><c> great</c><00:03:08.280><c> conference</c>

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right pick a few it's a great conference
 

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right pick a few it's a great conference
always<00:03:08.940><c> good</c>

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well<00:03:18.740><c> I'm</c><00:03:19.730><c> pretty</c><00:03:19.970><c> I</c><00:03:20.330><c> don't</c><00:03:20.720><c> know</c><00:03:20.930><c> if</c><00:03:21.020><c> it's</c>

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well I'm pretty I don't know if it's
 

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well I'm pretty I don't know if it's
gonna<00:03:21.230><c> be</c><00:03:21.410><c> over</c><00:03:21.500><c> the</c><00:03:21.650><c> next</c><00:03:21.680><c> year</c><00:03:22.040><c> I</c><00:03:22.220><c> like</c><00:03:22.460><c> a</c><00:03:22.490><c> you</c>

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gonna be over the next year I like a you
 

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gonna be over the next year I like a you
know<00:03:23.300><c> been</c><00:03:23.510><c> interested</c><00:03:23.930><c> in</c><00:03:23.960><c> functional</c>

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know been interested in functional
 

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know been interested in functional
programming<00:03:24.350><c> for</c><00:03:24.860><c> a</c><00:03:24.920><c> long</c><00:03:25.100><c> time</c><00:03:25.370><c> but</c><00:03:25.670><c> we're</c>

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programming for a long time but we're
 

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programming for a long time but we're
getting<00:03:26.060><c> closer</c><00:03:26.330><c> to</c><00:03:26.540><c> the</c><00:03:26.840><c> next</c><00:03:27.020><c> release</c><00:03:27.260><c> of</c>

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getting closer to the next release of
 

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getting closer to the next release of
Scala<00:03:27.710><c> Scala</c><00:03:28.160><c> 3</c><00:03:28.460><c> coming</c><00:03:28.820><c> out</c><00:03:29.030><c> and</c><00:03:29.990><c> it</c><00:03:30.680><c> has</c><00:03:30.800><c> a</c>

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Scala Scala 3 coming out and it has a
 

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Scala Scala 3 coming out and it has a
lot<00:03:31.130><c> of</c><00:03:31.160><c> really</c><00:03:31.580><c> exciting</c><00:03:32.000><c> features</c><00:03:32.330><c> you</c><00:03:32.780><c> know</c>

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lot of really exciting features you know
 

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lot of really exciting features you know
improves<00:03:33.320><c> the</c><00:03:33.410><c> language</c><00:03:33.680><c> in</c><00:03:33.770><c> a</c><00:03:33.800><c> lot</c><00:03:33.920><c> of</c><00:03:34.010><c> ways</c>

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improves the language in a lot of ways
 

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improves the language in a lot of ways
simplifies<00:03:34.760><c> it</c><00:03:35.000><c> in</c><00:03:35.060><c> many</c><00:03:35.180><c> ways</c><00:03:35.270><c> but</c><00:03:35.600><c> also</c><00:03:35.720><c> adds</c>

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simplifies it in many ways but also adds
 

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simplifies it in many ways but also adds
some<00:03:36.140><c> nice</c><00:03:36.380><c> power</c><00:03:36.620><c> add</c><00:03:36.860><c> some</c><00:03:37.040><c> opportunities</c>

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some nice power add some opportunities
 

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some nice power add some opportunities
for<00:03:38.060><c> writing</c><00:03:38.600><c> very</c><00:03:38.720><c> fast</c><00:03:39.050><c> code</c><00:03:39.290><c> some</c>

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for writing very fast code some
 

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for writing very fast code some
optimization<00:03:40.190><c> so</c><00:03:40.610><c> I'm</c><00:03:41.300><c> pretty</c><00:03:41.450><c> excited</c><00:03:41.750><c> about</c>

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optimization so I'm pretty excited about
 

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optimization so I'm pretty excited about
that<00:03:42.290><c> being</c><00:03:42.470><c> something</c><00:03:42.830><c> that</c><00:03:42.950><c> more</c><00:03:43.100><c> people</c>

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that being something that more people
 

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that being something that more people
can<00:03:43.490><c> try</c><00:03:43.700><c> to</c><00:03:43.760><c> play</c><00:03:43.940><c> with</c><00:03:44.180><c> and</c><00:03:44.450><c> hopefully</c><00:03:44.840><c> that</c>

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can try to play with and hopefully that
 

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can try to play with and hopefully that
we<00:03:45.080><c> can</c><00:03:45.230><c> you</c><00:03:45.500><c> know</c><00:03:45.620><c> eventually</c><00:03:45.950><c> start</c>

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we can you know eventually start
 

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we can you know eventually start
including<00:03:46.970><c> in</c><00:03:47.390><c> our</c><00:03:47.480><c> work</c>

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my<00:03:57.959><c> favorite</c><00:03:58.560><c> part</c><00:03:58.830><c> I</c><00:03:59.069><c> mean</c><00:03:59.459><c> it's</c><00:03:59.940><c> uh</c><00:04:00.090><c> I</c><00:04:00.540><c> think</c>

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my favorite part I mean it's uh I think
 

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my favorite part I mean it's uh I think
it's<00:04:01.670><c> well</c><00:04:02.670><c> it's</c><00:04:02.760><c> kind</c><00:04:02.940><c> of</c><00:04:02.970><c> awkward</c><00:04:03.150><c> too</c>

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it's well it's kind of awkward too
 

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it's well it's kind of awkward too
because<00:04:05.989><c> scale</c><00:04:06.989><c> by</c><00:04:07.080><c> the</c><00:04:07.140><c> way</c><00:04:07.290><c> used</c><00:04:07.530><c> to</c><00:04:07.650><c> be</c>

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because scale by the way used to be
 

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because scale by the way used to be
Scala<00:04:08.099><c> by</c><00:04:08.340><c> the</c><00:04:08.400><c> bay</c><00:04:08.640><c> and</c><00:04:08.910><c> still</c><00:04:09.569><c> I</c><00:04:09.599><c> would</c>

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Scala by the bay and still I would
 

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Scala by the bay and still I would
imagine<00:04:10.379><c> more</c><00:04:10.950><c> than</c><00:04:11.220><c> two-thirds</c><00:04:11.670><c> of</c><00:04:11.819><c> the</c>

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imagine more than two-thirds of the
 

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imagine more than two-thirds of the
attendees<00:04:12.720><c> have</c><00:04:13.290><c> some</c><00:04:13.560><c> interest</c><00:04:13.890><c> in</c><00:04:13.980><c> Scala</c><00:04:14.340><c> or</c>

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attendees have some interest in Scala or
 

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attendees have some interest in Scala or
domains<00:04:15.450><c> where</c><00:04:15.690><c> Scala</c><00:04:15.959><c> has</c><00:04:16.139><c> been</c><00:04:16.320><c> you</c><00:04:16.829><c> know</c>

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domains where Scala has been you know
 

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domains where Scala has been you know
successful<00:04:17.970><c> data</c><00:04:18.209><c> machine</c><00:04:18.660><c> learning</c><00:04:19.079><c> things</c>

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successful data machine learning things
 

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successful data machine learning things
like<00:04:19.410><c> this</c><00:04:19.560><c> so</c><00:04:20.220><c> there</c><00:04:21.000><c> is</c><00:04:21.120><c> this</c><00:04:21.500><c> ambition</c><00:04:22.500><c> for</c>

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like this so there is this ambition for
 

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like this so there is this ambition for
it<00:04:22.830><c> to</c><00:04:22.979><c> be</c><00:04:23.130><c> you</c><00:04:23.430><c> know</c><00:04:23.520><c> about</c><00:04:23.729><c> scalability</c><00:04:24.090><c> but</c>

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it to be you know about scalability but
 

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it to be you know about scalability but
I<00:04:24.870><c> think</c><00:04:25.139><c> it's</c><00:04:25.290><c> also</c><00:04:25.580><c> still</c><00:04:26.580><c> very</c><00:04:26.790><c> much</c>

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I think it's also still very much
 

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I think it's also still very much
related<00:04:27.240><c> to</c><00:04:27.330><c> Scala</c><00:04:27.600><c> so</c><00:04:27.960><c> I</c><00:04:28.500><c> like</c><00:04:29.040><c> coming</c><00:04:29.460><c> and</c>

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related to Scala so I like coming and
 

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related to Scala so I like coming and
saying<00:04:29.880><c> I</c><00:04:30.180><c> think</c><00:04:30.270><c> it's</c><00:04:30.479><c> really</c><00:04:30.780><c> the</c><00:04:30.870><c> best</c>

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saying I think it's really the best
 

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saying I think it's really the best
Scala<00:04:31.320><c> conference</c><00:04:32.040><c> on</c><00:04:32.220><c> the</c><00:04:32.340><c> west</c><00:04:32.520><c> coast</c><00:04:32.790><c> I</c>

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Scala conference on the west coast I
 

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Scala conference on the west coast I
really<00:04:33.570><c> like</c><00:04:33.720><c> coming</c><00:04:33.870><c> to</c><00:04:34.050><c> see</c><00:04:34.169><c> a</c><00:04:34.200><c> lot</c><00:04:34.350><c> of</c><00:04:34.380><c> the</c>

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really like coming to see a lot of the
 

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really like coming to see a lot of the
people<00:04:34.729><c> Twitter</c><00:04:35.729><c> is</c><00:04:36.090><c> in</c><00:04:36.960><c> in</c><00:04:37.290><c> San</c><00:04:37.440><c> Francisco</c>

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people Twitter is in in San Francisco
 

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people Twitter is in in San Francisco
and<00:04:38.130><c> so</c><00:04:38.280><c> they</c><00:04:38.490><c> use</c><00:04:38.639><c> a</c><00:04:38.669><c> lot</c><00:04:38.850><c> of</c><00:04:38.940><c> scholarly</c><00:04:39.240><c> I</c><00:04:39.479><c> get</c>

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and so they use a lot of scholarly I get
 

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and so they use a lot of scholarly I get
I<00:04:39.660><c> used</c><00:04:39.990><c> to</c><00:04:40.080><c> work</c><00:04:40.169><c> at</c><00:04:40.320><c> Twitter</c><00:04:40.410><c> I</c><00:04:40.770><c> get</c><00:04:41.100><c> to</c><00:04:41.160><c> see</c><00:04:41.310><c> a</c>

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I used to work at Twitter I get to see a
 

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I used to work at Twitter I get to see a
lot<00:04:41.520><c> of</c><00:04:41.550><c> my</c><00:04:41.729><c> friends</c><00:04:42.120><c> who</c><00:04:42.330><c> were</c><00:04:42.479><c> Twitter</c>

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lot of my friends who were Twitter
 

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lot of my friends who were Twitter
engineers<00:04:43.410><c> there's</c><00:04:43.650><c> a</c><00:04:43.860><c> lot</c><00:04:44.130><c> of</c><00:04:44.250><c> them</c><00:04:44.370><c> come</c><00:04:44.639><c> so</c>

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engineers there's a lot of them come so
 

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engineers there's a lot of them come so
it's<00:04:45.419><c> a</c><00:04:45.510><c> great</c><00:04:45.690><c> chance</c><00:04:46.050><c> to</c><00:04:46.260><c> connect</c><00:04:46.560><c> with</c><00:04:46.650><c> the</c>

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it's a great chance to connect with the
 

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it's a great chance to connect with the
community<00:04:46.800><c> great</c><00:04:47.669><c> venues</c><00:04:48.060><c> usually</c><00:04:48.539><c> almost</c>

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community great venues usually almost
 

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community great venues usually almost
always<00:04:49.740><c> a</c><00:04:49.919><c> great</c><00:04:50.100><c> event</c>

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always a great event
 

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always a great event
[Music]