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hello<00:00:12.160><c> everybody</c><00:00:12.559><c> I'm</c><00:00:12.719><c> Alexi</c><00:00:13.040><c> kraber</c><00:00:13.559><c> the</c>

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hello everybody I'm Alexi kraber the
 

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hello everybody I'm Alexi kraber the
founder<00:00:13.960><c> and</c><00:00:14.240><c> organizer</c><00:00:15.240><c> by</c><00:00:15.400><c> a</c><00:00:15.719><c> AI</c><00:00:16.199><c> the</c>

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founder and organizer by a AI the
 

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founder and organizer by a AI the
longest<00:00:16.720><c> running</c><00:00:17.320><c> deepest</c><00:00:17.720><c> technical</c><00:00:18.160><c> a</c>

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longest running deepest technical a
 

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longest running deepest technical a
metup<00:00:18.760><c> in</c><00:00:18.880><c> the</c><00:00:19.000><c> world</c><00:00:19.720><c> here</c><00:00:20.240><c> on</c><00:00:20.400><c> location</c><00:00:20.720><c> at</c>

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metup in the world here on location at
 

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metup in the world here on location at
Cloud<00:00:21.199><c> flare</c><00:00:22.080><c> we</c><00:00:22.240><c> have</c><00:00:22.519><c> a</c><00:00:22.840><c> amazing</c><00:00:23.279><c> agentic</c>

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Cloud flare we have a amazing agentic
 

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Cloud flare we have a amazing agentic
metup<00:00:24.519><c> and</c><00:00:24.680><c> the</c><00:00:24.800><c> latest</c><00:00:25.119><c> addition</c><00:00:25.680><c> is</c><00:00:25.880><c> vasil</c>

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metup and the latest addition is vasil
 

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metup and the latest addition is vasil
marovich<00:00:26.800><c> who's</c><00:00:27.039><c> the</c><00:00:27.160><c> founder</c><00:00:27.560><c> and</c><00:00:27.720><c> COO</c><00:00:28.080><c> of</c>

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marovich who's the founder and COO of
 

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marovich who's the founder and COO of
cogne<00:00:29.519><c> uh</c><00:00:30.119><c> start</c><00:00:30.480><c> up</c><00:00:30.640><c> doing</c><00:00:30.920><c> AI</c><00:00:31.279><c> memory</c><00:00:32.279><c> what</c>

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cogne uh start up doing AI memory what
 

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cogne uh start up doing AI memory what
is<00:00:32.759><c> cogne</c><00:00:33.680><c> cogne</c><00:00:34.040><c> is</c><00:00:34.120><c> a</c><00:00:34.280><c> memory</c><00:00:34.640><c> manager</c><00:00:35.040><c> for</c>

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is cogne cogne is a memory manager for
 

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is cogne cogne is a memory manager for
AI<00:00:35.520><c> apps</c><00:00:35.719><c> and</c><00:00:35.920><c> agents</c><00:00:36.480><c> it</c><00:00:36.640><c> lets</c><00:00:36.840><c> you</c><00:00:36.960><c> load</c>

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AI apps and agents it lets you load
 

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AI apps and agents it lets you load
actually<00:00:37.800><c> your</c><00:00:38.120><c> data</c><00:00:38.399><c> from</c><00:00:38.600><c> your</c><00:00:38.800><c> business</c>

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actually your data from your business
 

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actually your data from your business
productionize<00:00:40.239><c> it</c><00:00:40.480><c> and</c><00:00:40.640><c> then</c><00:00:40.840><c> let</c><00:00:41.239><c> agents</c><00:00:41.600><c> and</c>

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productionize it and then let agents and
 

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productionize it and then let agents and
AI<00:00:42.039><c> apps</c><00:00:42.320><c> access</c><00:00:42.640><c> it</c><00:00:43.200><c> and</c><00:00:43.399><c> enrich</c><00:00:43.800><c> their</c>

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AI apps access it and enrich their
 

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AI apps access it and enrich their
context<00:00:44.360><c> so</c><00:00:44.520><c> they</c><00:00:44.640><c> can</c><00:00:44.800><c> give</c><00:00:44.920><c> you</c><00:00:45.079><c> the</c><00:00:45.239><c> answers</c>

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context so they can give you the answers
 

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context so they can give you the answers
that<00:00:45.960><c> your</c><00:00:46.160><c> business</c><00:00:46.520><c> needs</c><00:00:47.520><c> and</c><00:00:47.640><c> you</c><00:00:47.760><c> talk</c>

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that your business needs and you talk
 

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that your business needs and you talk
about<00:00:48.160><c> it</c><00:00:48.280><c> as</c><00:00:48.480><c> memory</c><00:00:48.879><c> and</c><00:00:49.120><c> almost</c><00:00:49.399><c> like</c><00:00:49.559><c> a</c>

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about it as memory and almost like a
 

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about it as memory and almost like a
part<00:00:49.879><c> of</c><00:00:50.079><c> cognition</c><00:00:51.000><c> how</c><00:00:51.120><c> did</c><00:00:51.320><c> you</c><00:00:51.440><c> come</c><00:00:51.640><c> to</c>

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part of cognition how did you come to
 

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part of cognition how did you come to
this<00:00:52.000><c> idea</c><00:00:52.399><c> that</c><00:00:52.559><c> you</c><00:00:52.640><c> know</c><00:00:52.800><c> AI</c><00:00:53.079><c> agents</c><00:00:53.359><c> need</c>

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this idea that you know AI agents need
 

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this idea that you know AI agents need
memory<00:00:54.239><c> yeah</c><00:00:54.359><c> so</c><00:00:54.600><c> my</c><00:00:54.760><c> background's</c><00:00:55.239><c> in</c>

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memory yeah so my background's in
 

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memory yeah so my background's in
business<00:00:55.920><c> and</c><00:00:56.160><c> Clinical</c><00:00:56.600><c> Psychology</c><00:00:57.239><c> so</c>

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business and Clinical Psychology so
 

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business and Clinical Psychology so
effectively<00:00:58.199><c> I've</c><00:00:58.519><c> thinking</c><00:00:58.879><c> been</c><00:00:59.079><c> thinking</c>

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effectively I've thinking been thinking
 

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effectively I've thinking been thinking
for<00:00:59.480><c> a</c><00:00:59.600><c> while</c><00:01:00.000><c> how</c><00:01:00.160><c> can</c><00:01:00.280><c> we</c><00:01:00.519><c> create</c><00:01:00.920><c> these</c>

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for a while how can we create these
 

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for a while how can we create these
types<00:01:01.399><c> of</c><00:01:01.800><c> cognitive</c><00:01:02.280><c> processes</c><00:01:02.960><c> inside</c><00:01:03.359><c> of</c>

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types of cognitive processes inside of
 

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types of cognitive processes inside of
the<00:01:03.640><c> vector</c><00:01:03.960><c> and</c><00:01:04.159><c> graph</c><00:01:04.439><c> stores</c><00:01:05.080><c> so</c><00:01:05.280><c> we</c><00:01:05.360><c> can</c>

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the vector and graph stores so we can
 

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the vector and graph stores so we can
enrich<00:01:05.920><c> the</c><00:01:06.080><c> data</c><00:01:06.439><c> store</c><00:01:06.840><c> the</c><00:01:07.080><c> information</c><00:01:07.560><c> in</c>

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enrich the data store the information in
 

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enrich the data store the information in
a<00:01:07.840><c> way</c><00:01:08.080><c> that</c><00:01:08.240><c> humans</c><00:01:08.640><c> process</c><00:01:09.400><c> the</c><00:01:09.600><c> data</c><00:01:09.840><c> and</c>

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a way that humans process the data and
 

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a way that humans process the data and
then<00:01:10.200><c> effectively</c><00:01:10.680><c> have</c><00:01:10.799><c> a</c><00:01:10.960><c> way</c><00:01:11.119><c> to</c><00:01:11.280><c> retrieve</c>

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then effectively have a way to retrieve
 

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then effectively have a way to retrieve
that<00:01:12.159><c> in</c><00:01:12.280><c> the</c><00:01:12.439><c> way</c><00:01:12.600><c> also</c><00:01:12.840><c> humans</c><00:01:13.200><c> access</c><00:01:13.520><c> their</c>

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that in the way also humans access their
 

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that in the way also humans access their
different<00:01:14.360><c> memory</c><00:01:14.759><c> elements</c><00:01:15.479><c> so</c><00:01:15.600><c> it's</c><00:01:15.720><c> strug</c>

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different memory elements so it's strug
 

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different memory elements so it's strug
is<00:01:16.240><c> you</c><00:01:16.320><c> know</c><00:01:16.520><c> really</c><00:01:16.720><c> missing</c><00:01:17.080><c> piece</c><00:01:17.280><c> because</c>

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is you know really missing piece because
 

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is you know really missing piece because
previously<00:01:17.960><c> like</c><00:01:18.040><c> when</c><00:01:18.159><c> you</c><00:01:18.280><c> chart</c><00:01:18.600><c> with</c><00:01:18.840><c> some</c>

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previously like when you chart with some
 

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previously like when you chart with some
kind<00:01:19.159><c> of</c><00:01:19.360><c> chart</c><00:01:19.680><c> GPT</c><00:01:20.280><c> right</c><00:01:20.640><c> it</c><00:01:20.799><c> almost</c><00:01:21.040><c> feel</c>

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kind of chart GPT right it almost feel
 

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kind of chart GPT right it almost feel
fairly<00:01:21.880><c> stateless</c><00:01:22.439><c> right</c><00:01:22.560><c> and</c><00:01:22.680><c> like</c><00:01:22.799><c> when</c><00:01:22.920><c> you</c>

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fairly stateless right and like when you
 

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fairly stateless right and like when you
drop<00:01:23.479><c> it</c><00:01:24.079><c> you</c><00:01:24.320><c> probably</c><00:01:24.640><c> lost</c><00:01:24.920><c> your</c><00:01:25.079><c> session</c>

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drop it you probably lost your session
 

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drop it you probably lost your session
right<00:01:25.799><c> it's</c><00:01:26.000><c> gone</c><00:01:26.400><c> right</c><00:01:26.560><c> it's</c><00:01:26.799><c> like</c><00:01:27.200><c> now</c><00:01:27.400><c> it's</c>

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right it's gone right it's like now it's
 

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right it's gone right it's like now it's
like<00:01:27.680><c> it</c><00:01:27.880><c> get</c><00:01:28.320><c> it's</c><00:01:28.479><c> getting</c><00:01:28.759><c> better</c><00:01:29.079><c> because</c>

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like it get it's getting better because
 

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like it get it's getting better because
you<00:01:29.360><c> kind</c><00:01:29.479><c> of</c><00:01:29.600><c> remember</c><00:01:30.119><c> what</c><00:01:30.240><c> we</c><00:01:30.320><c> were</c>

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you kind of remember what we were
 

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you kind of remember what we were
talking<00:01:30.759><c> about</c><00:01:31.640><c> right</c><00:01:31.960><c> but</c><00:01:32.439><c> then</c><00:01:32.600><c> it's</c><00:01:32.799><c> lost</c>

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talking about right but then it's lost
 

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talking about right but then it's lost
so<00:01:33.759><c> so</c><00:01:34.759><c> uh</c><00:01:35.159><c> would</c><00:01:35.520><c> your</c><00:01:35.840><c> system</c><00:01:36.680><c> allow</c><00:01:37.360><c> this</c>

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so so uh would your system allow this
 

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so so uh would your system allow this
you<00:01:37.880><c> know</c><00:01:38.040><c> agents</c><00:01:38.399><c> to</c><00:01:38.600><c> preserve</c><00:01:39.000><c> the</c><00:01:39.159><c> state</c><00:01:39.399><c> of</c>

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you know agents to preserve the state of
 

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you know agents to preserve the state of
the<00:01:39.799><c> work</c><00:01:40.159><c> like</c><00:01:40.720><c> how</c><00:01:40.880><c> long</c><00:01:41.079><c> can</c><00:01:41.200><c> it</c><00:01:41.439><c> persist</c>

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the work like how long can it persist
 

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the work like how long can it persist
how<00:01:42.520><c> big</c><00:01:42.720><c> can</c><00:01:42.840><c> it</c><00:01:43.040><c> be</c><00:01:43.560><c> so</c><00:01:43.759><c> it</c><00:01:43.880><c> can</c><00:01:44.079><c> get</c><00:01:44.280><c> to</c>

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how big can it be so it can get to
 

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how big can it be so it can get to
millions<00:01:44.920><c> and</c><00:01:45.079><c> millions</c><00:01:45.399><c> of</c><00:01:45.600><c> documents</c><00:01:46.040><c> it</c>

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millions and millions of documents it
 

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millions and millions of documents it
can<00:01:46.399><c> persist</c><00:01:47.360><c> the</c><00:01:47.759><c> data</c><00:01:48.079><c> from</c><00:01:48.360><c> any</c><00:01:48.640><c> agents</c><00:01:49.040><c> and</c>

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can persist the data from any agents and
 

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can persist the data from any agents and
how<00:01:49.560><c> imagine</c><00:01:49.880><c> it</c><00:01:50.079><c> is</c><00:01:50.240><c> that</c><00:01:50.399><c> we</c><00:01:50.520><c> have</c><00:01:50.719><c> layers</c><00:01:51.079><c> of</c>

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how imagine it is that we have layers of
 

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how imagine it is that we have layers of
memory<00:01:52.079><c> so</c><00:01:52.240><c> we</c><00:01:52.439><c> effectively</c><00:01:52.920><c> store</c><00:01:53.640><c> the</c>

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memory so we effectively store the
 

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memory so we effectively store the
traditional<00:01:54.759><c> information</c><00:01:55.280><c> from</c><00:01:55.520><c> databases</c>

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traditional information from databases
 

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traditional information from databases
then<00:01:56.560><c> memory</c><00:01:57.159><c> interactions</c><00:01:58.159><c> then</c><00:01:58.479><c> uh</c>

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then memory interactions then uh
 

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then memory interactions then uh
preferences<00:01:59.159><c> of</c><00:01:59.320><c> users</c><00:01:59.960><c> and</c><00:02:00.119><c> all</c><00:02:00.240><c> of</c><00:02:00.399><c> these</c>

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preferences of users and all of these
 

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preferences of users and all of these
layers<00:02:00.960><c> get</c><00:02:01.240><c> accessed</c><00:02:01.920><c> by</c><00:02:02.119><c> the</c><00:02:02.240><c> agents</c>

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layers get accessed by the agents
 

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layers get accessed by the agents
dynamically<00:02:03.159><c> and</c><00:02:03.280><c> these</c><00:02:03.399><c> layers</c><00:02:03.719><c> get</c><00:02:03.920><c> updated</c>

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dynamically and these layers get updated
 

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dynamically and these layers get updated
and<00:02:04.479><c> changing</c><00:02:05.159><c> similar</c><00:02:05.439><c> to</c><00:02:05.600><c> human</c><00:02:05.840><c> mind</c><00:02:06.159><c> so</c>

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and changing similar to human mind so
 

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and changing similar to human mind so
how<00:02:06.600><c> we</c><00:02:06.799><c> effectively</c><00:02:07.600><c> update</c><00:02:08.039><c> our</c><00:02:08.319><c> knowledge</c>

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how we effectively update our knowledge
 

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how we effectively update our knowledge
of<00:02:08.800><c> the</c><00:02:08.920><c> world</c><00:02:09.160><c> as</c><00:02:09.280><c> we</c><00:02:09.440><c> go</c><00:02:09.599><c> through</c><00:02:09.759><c> it</c><00:02:10.399><c> very</c>

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of the world as we go through it very
 

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of the world as we go through it very
good<00:02:10.879><c> and</c><00:02:11.560><c> you</c><00:02:11.760><c> told</c><00:02:12.040><c> me</c><00:02:12.440><c> that</c><00:02:12.720><c> you</c><00:02:12.879><c> know</c><00:02:13.760><c> you</c>

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good and you told me that you know you
 

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good and you told me that you know you
want<00:02:14.440><c> to</c><00:02:14.599><c> go</c><00:02:14.720><c> back</c><00:02:14.840><c> to</c><00:02:14.920><c> school</c><00:02:15.120><c> and</c><00:02:15.239><c> learn</c>

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want to go back to school and learn
 

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want to go back to school and learn
cognitive<00:02:15.920><c> science</c><00:02:16.720><c> how</c><00:02:17.000><c> does</c><00:02:17.519><c> that</c><00:02:18.239><c> kind</c><00:02:18.400><c> of</c>

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cognitive science how does that kind of
 

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cognitive science how does that kind of
inform<00:02:19.480><c> your</c><00:02:19.680><c> work</c><00:02:20.120><c> why</c><00:02:20.280><c> would</c><00:02:20.480><c> you</c><00:02:20.760><c> study</c><00:02:21.120><c> and</c>

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inform your work why would you study and
 

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inform your work why would you study and
where<00:02:21.480><c> would</c><00:02:21.599><c> you</c><00:02:21.720><c> focus</c><00:02:22.080><c> your</c><00:02:22.239><c> study</c><00:02:22.879><c> yeah</c>

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where would you focus your study yeah
 

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where would you focus your study yeah
that's<00:02:23.239><c> a</c><00:02:23.480><c> good</c><00:02:23.640><c> question</c><00:02:23.920><c> so</c><00:02:24.040><c> I</c><00:02:24.200><c> already</c><00:02:24.440><c> went</c>

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that's a good question so I already went
 

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that's a good question so I already went
back<00:02:24.879><c> to</c><00:02:25.040><c> study</c><00:02:25.400><c> I'm</c><00:02:25.519><c> now</c><00:02:25.760><c> third</c><00:02:26.040><c> year</c><00:02:26.480><c> of</c><00:02:27.000><c> of</c>

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back to study I'm now third year of of
 

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back to study I'm now third year of of
the<00:02:27.519><c> of</c><00:02:27.680><c> the</c><00:02:27.920><c> Bachelors</c><00:02:28.480><c> again</c><00:02:28.680><c> with</c><00:02:28.840><c> the</c><00:02:28.959><c> 20</c>

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the of the Bachelors again with the 20
 

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the of the Bachelors again with the 20
year<00:02:29.440><c> old</c><00:02:30.040><c> that's</c><00:02:30.280><c> very</c><00:02:30.480><c> fun</c><00:02:30.879><c> and</c><00:02:31.200><c> uh</c>

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year old that's very fun and uh
 

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year old that's very fun and uh
effectively<00:02:31.840><c> as</c><00:02:31.959><c> I</c><00:02:32.080><c> go</c><00:02:32.239><c> back</c><00:02:32.400><c> to</c><00:02:32.599><c> study</c><00:02:33.319><c> what</c>

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effectively as I go back to study what
 

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effectively as I go back to study what
happened<00:02:34.040><c> and</c><00:02:34.239><c> what</c><00:02:34.319><c> I</c><00:02:34.440><c> saw</c><00:02:34.599><c> in</c><00:02:34.720><c> Psychology</c><00:02:35.200><c> is</c>

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happened and what I saw in Psychology is
 

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happened and what I saw in Psychology is
that<00:02:35.400><c> they</c><00:02:35.519><c> borrowed</c><00:02:35.879><c> a</c><00:02:36.000><c> lot</c><00:02:36.120><c> of</c><00:02:36.280><c> Concepts</c>

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that they borrowed a lot of Concepts
 

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that they borrowed a lot of Concepts
from<00:02:37.200><c> uh</c><00:02:37.400><c> computer</c><00:02:37.800><c> science</c><00:02:38.120><c> in</c><00:02:38.239><c> the</c><00:02:38.360><c> 60s</c>

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from uh computer science in the 60s
 

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from uh computer science in the 60s
thinking<00:02:39.560><c> of</c><00:02:39.800><c> humans</c><00:02:40.159><c> as</c><00:02:40.360><c> thinking</c><00:02:40.720><c> machines</c>

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thinking of humans as thinking machines
 

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thinking of humans as thinking machines
but<00:02:41.400><c> then</c><00:02:41.560><c> because</c><00:02:41.879><c> they</c><00:02:42.120><c> hadn't</c><00:02:42.440><c> didn't</c><00:02:42.800><c> have</c>

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but then because they hadn't didn't have
 

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but then because they hadn't didn't have
like<00:02:43.200><c> these</c><00:02:43.400><c> analogies</c><00:02:44.200><c> to</c><00:02:44.400><c> explain</c><00:02:44.840><c> things</c>

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like these analogies to explain things
 

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like these analogies to explain things
further<00:02:45.560><c> because</c><00:02:45.920><c> thinking</c><00:02:46.200><c> machines</c>

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further because thinking machines
 

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further because thinking machines
stopped<00:02:46.959><c> at</c><00:02:47.080><c> a</c><00:02:47.200><c> certain</c><00:02:47.480><c> point</c><00:02:47.680><c> but</c><00:02:47.800><c> they</c><00:02:47.959><c> need</c>

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stopped at a certain point but they need
 

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stopped at a certain point but they need
to<00:02:48.280><c> explain</c><00:02:48.599><c> behaviors</c><00:02:49.080><c> and</c><00:02:49.319><c> actions</c><00:02:50.040><c> there</c>

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to explain behaviors and actions there
 

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to explain behaviors and actions there
is<00:02:50.280><c> a</c><00:02:50.440><c> lot</c><00:02:50.599><c> of</c><00:02:50.879><c> patterns</c><00:02:51.480><c> and</c><00:02:51.879><c> systems</c><00:02:52.360><c> that</c>

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is a lot of patterns and systems that
 

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is a lot of patterns and systems that
they<00:02:52.680><c> built</c><00:02:53.120><c> on</c><00:02:53.360><c> top</c><00:02:53.599><c> of</c><00:02:53.800><c> the</c><00:02:54.319><c> thinking</c>

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they built on top of the thinking
 

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they built on top of the thinking
machines<00:02:55.120><c> which</c><00:02:55.280><c> now</c><00:02:55.440><c> we</c><00:02:55.519><c> can</c><00:02:55.680><c> use</c><00:02:55.920><c> back</c><00:02:56.080><c> in</c><00:02:56.280><c> AI</c>

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machines which now we can use back in AI
 

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machines which now we can use back in AI
an<00:02:57.360><c> example</c><00:02:57.720><c> of</c><00:02:57.920><c> that</c><00:02:58.120><c> would</c><00:02:58.280><c> be</c><00:02:58.519><c> how</c><00:02:58.680><c> do</c><00:02:58.800><c> we</c>

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an example of that would be how do we
 

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an example of that would be how do we
actually<00:02:59.879><c> uh</c><00:03:00.000><c> you</c><00:03:00.120><c> know</c><00:03:00.519><c> um</c><00:03:00.840><c> um</c><00:03:01.159><c> become</c><00:03:01.400><c> more</c>

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actually uh you know um um become more
 

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actually uh you know um um become more
risk<00:03:01.879><c> averse</c><00:03:02.599><c> as</c><00:03:03.040><c> uh</c><00:03:03.159><c> we</c><00:03:03.400><c> move</c><00:03:03.680><c> and</c><00:03:03.879><c> become</c>

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risk averse as uh we move and become
 

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risk averse as uh we move and become
older<00:03:04.760><c> so</c><00:03:05.120><c> there</c><00:03:05.239><c> is</c><00:03:05.360><c> a</c><00:03:05.560><c> mod</c><00:03:05.840><c> set</c><00:03:06.000><c> of</c><00:03:06.159><c> models</c>

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older so there is a mod set of models
 

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older so there is a mod set of models
you<00:03:06.680><c> can</c><00:03:06.879><c> actually</c><00:03:07.280><c> add</c><00:03:07.840><c> that</c><00:03:08.000><c> show</c><00:03:08.239><c> that</c><00:03:08.400><c> as</c>

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you can actually add that show that as
 

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you can actually add that show that as
you<00:03:08.680><c> get</c><00:03:08.799><c> to</c><00:03:09.159><c> age</c><00:03:09.319><c> of</c><00:03:09.440><c> 60</c><00:03:09.799><c> you're</c><00:03:09.959><c> going</c><00:03:10.080><c> to</c>

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you get to age of 60 you're going to
 

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you get to age of 60 you're going to
prefer<00:03:11.000><c> not</c><00:03:11.159><c> to</c><00:03:11.280><c> do</c><00:03:11.440><c> any</c><00:03:11.599><c> risky</c><00:03:11.959><c> thing</c>

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prefer not to do any risky thing
 

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prefer not to do any risky thing
compared<00:03:12.560><c> to</c><00:03:12.760><c> like</c><00:03:12.920><c> when</c><00:03:13.040><c> you're</c><00:03:13.239><c> 30</c><00:03:13.599><c> and</c><00:03:13.720><c> you</c>

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compared to like when you're 30 and you
 

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compared to like when you're 30 and you
kind<00:03:14.040><c> of</c><00:03:14.159><c> like</c><00:03:14.319><c> to</c><00:03:14.440><c> do</c><00:03:14.640><c> things</c><00:03:15.159><c> but</c><00:03:15.280><c> then</c>

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kind of like to do things but then
 

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kind of like to do things but then
effectively<00:03:15.959><c> these</c><00:03:16.120><c> things</c><00:03:16.360><c> we</c><00:03:16.440><c> can</c><00:03:16.840><c> put</c><00:03:17.080><c> back</c>

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effectively these things we can put back
 

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effectively these things we can put back
into<00:03:17.560><c> the</c><00:03:17.720><c> AI</c><00:03:18.040><c> now</c><00:03:18.319><c> and</c><00:03:18.440><c> we</c><00:03:18.560><c> can</c><00:03:18.720><c> model</c><00:03:19.120><c> how</c>

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into the AI now and we can model how
 

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into the AI now and we can model how
humans<00:03:19.640><c> do</c><00:03:19.799><c> it</c><00:03:20.200><c> so</c><00:03:20.440><c> the</c><00:03:20.599><c> reactions</c><00:03:21.280><c> of</c><00:03:21.400><c> the</c><00:03:21.519><c> AI</c>

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humans do it so the reactions of the AI
 

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humans do it so the reactions of the AI
systems<00:03:22.120><c> are</c><00:03:22.599><c> more</c><00:03:22.840><c> towards</c><00:03:23.280><c> what</c><00:03:23.400><c> we</c><00:03:23.560><c> expect</c>

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systems are more towards what we expect
 

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systems are more towards what we expect
you<00:03:24.239><c> know</c><00:03:24.400><c> what's</c><00:03:24.599><c> super</c><00:03:24.799><c> funny</c><00:03:25.040><c> to</c><00:03:25.200><c> me</c><00:03:25.599><c> like</c>

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you know what's super funny to me like
 

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you know what's super funny to me like
you<00:03:25.799><c> mentioned</c><00:03:26.080><c> thinking</c><00:03:26.319><c> machine</c><00:03:26.599><c> several</c>

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you mentioned thinking machine several
 

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you mentioned thinking machine several
times<00:03:27.120><c> today</c><00:03:27.760><c> Mira</c><00:03:28.120><c> morati</c><00:03:28.879><c> the</c><00:03:29.000><c> former</c><00:03:29.239><c> city</c>

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times today Mira morati the former city
 

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times today Mira morati the former city
of<00:03:29.760><c> and</c><00:03:29.879><c> I</c><00:03:29.959><c> announced</c><00:03:30.280><c> a</c><00:03:30.439><c> new</c><00:03:30.599><c> company</c><00:03:30.879><c> called</c>

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of and I announced a new company called
 

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of and I announced a new company called
thinking<00:03:31.280><c> machines</c><00:03:32.080><c> and</c><00:03:32.239><c> then</c><00:03:32.519><c> what</c><00:03:32.680><c> really</c>

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thinking machines and then what really
 

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thinking machines and then what really
struck<00:03:33.239><c> me</c><00:03:33.680><c> most</c><00:03:33.879><c> people</c><00:03:34.120><c> don't</c><00:03:34.599><c> even</c><00:03:34.920><c> realize</c>

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struck me most people don't even realize
 

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struck me most people don't even realize
that<00:03:35.879><c> there</c><00:03:36.000><c> was</c><00:03:36.120><c> an</c><00:03:36.280><c> iconic</c><00:03:36.599><c> company</c><00:03:36.879><c> called</c>

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that there was an iconic company called
 

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that there was an iconic company called
thinking<00:03:37.319><c> machines</c><00:03:38.159><c> in</c><00:03:38.319><c> the</c><00:03:38.480><c> '90s</c><00:03:38.840><c> which</c>

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thinking machines in the '90s which
 

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thinking machines in the '90s which
built<00:03:39.799><c> a</c><00:03:39.959><c> connection</c><00:03:40.439><c> machine</c><00:03:41.280><c> right</c><00:03:41.439><c> so</c><00:03:41.599><c> this</c>

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built a connection machine right so this
 

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built a connection machine right so this
is<00:03:41.840><c> like</c><00:03:42.000><c> a</c><00:03:42.159><c> recurrent</c><00:03:42.920><c> thing</c><00:03:43.159><c> it's</c><00:03:43.400><c> probably</c>

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is like a recurrent thing it's probably
 

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is like a recurrent thing it's probably
our<00:03:43.959><c> memory</c><00:03:44.280><c> is</c><00:03:44.480><c> very</c><00:03:44.680><c> short</c><00:03:45.120><c> like</c><00:03:45.400><c> when</c><00:03:45.519><c> need</c>

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our memory is very short like when need
 

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our memory is very short like when need
to<00:03:45.799><c> put</c><00:03:45.920><c> our</c><00:03:46.080><c> member</c><00:03:46.319><c> in</c><00:03:46.480><c> cogy</c><00:03:47.080><c> then</c><00:03:47.200><c> we</c>

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to put our member in cogy then we
 

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to put our member in cogy then we
probably<00:03:47.680><c> would</c><00:03:47.879><c> remember</c><00:03:48.760><c> right</c><00:03:48.920><c> that</c>

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probably would remember right that
 

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probably would remember right that
thinking<00:03:49.439><c> machines</c><00:03:49.760><c> is</c><00:03:49.879><c> a</c><00:03:50.000><c> recurrent</c><00:03:50.400><c> topic</c>

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thinking machines is a recurrent topic
 

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thinking machines is a recurrent topic
and<00:03:51.480><c> people</c><00:03:51.720><c> want</c><00:03:52.079><c> to</c><00:03:52.280><c> make</c><00:03:52.519><c> this</c><00:03:52.799><c> machines</c><00:03:53.319><c> I</c>

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and people want to make this machines I
 

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and people want to make this machines I
think<00:03:53.840><c> this</c><00:03:53.959><c> has</c><00:03:54.079><c> been</c><00:03:54.280><c> tried</c><00:03:54.640><c> before</c><00:03:54.959><c> and</c><00:03:55.079><c> if</c>

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think this has been tried before and if
 

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think this has been tried before and if
we<00:03:55.319><c> talk</c><00:03:55.519><c> about</c><00:03:55.760><c> Brin</c><00:03:56.159><c> it's</c><00:03:56.360><c> very</c><00:03:56.560><c> ambitious</c>

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we talk about Brin it's very ambitious
 

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we talk about Brin it's very ambitious
right<00:03:57.200><c> it's</c><00:03:57.319><c> a</c><00:03:57.439><c> bit</c><00:03:57.599><c> too</c><00:03:57.799><c> much</c><00:03:58.120><c> but</c><00:03:58.280><c> what</c><00:03:58.400><c> we</c>

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right it's a bit too much but what we
 

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right it's a bit too much but what we
are<00:03:58.720><c> trying</c><00:03:59.000><c> to</c><00:03:59.120><c> do</c><00:03:59.400><c> at</c><00:03:59.560><c> that</c><00:03:59.920><c> this</c><00:04:00.079><c> point</c><00:04:00.360><c> is</c>

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are trying to do at that this point is
 

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are trying to do at that this point is
to<00:04:01.079><c> create</c><00:04:01.360><c> a</c><00:04:01.519><c> better</c><00:04:01.799><c> context</c><00:04:02.159><c> for</c><00:04:02.360><c> llms</c><00:04:03.000><c> to</c>

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to create a better context for llms to
 

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to create a better context for llms to
give<00:04:03.319><c> it</c><00:04:03.599><c> like</c><00:04:04.280><c> as</c><00:04:04.400><c> much</c><00:04:04.640><c> data</c><00:04:04.920><c> as</c><00:04:05.040><c> we</c><00:04:05.200><c> can</c><00:04:05.360><c> to</c>

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give it like as much data as we can to
 

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give it like as much data as we can to
avoid<00:04:06.120><c> the</c><00:04:06.239><c> context</c><00:04:06.640><c> issues</c><00:04:07.360><c> and</c><00:04:07.439><c> to</c><00:04:07.599><c> make</c>

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avoid the context issues and to make
 

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avoid the context issues and to make
that<00:04:08.439><c> auto</c><00:04:08.840><c> updating</c><00:04:09.319><c> as</c><00:04:09.439><c> much</c><00:04:09.599><c> as</c><00:04:09.760><c> we</c><00:04:09.879><c> can</c><00:04:10.079><c> I</c>

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that auto updating as much as we can I
 

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that auto updating as much as we can I
think<00:04:10.319><c> thinking</c><00:04:10.599><c> machines</c><00:04:10.920><c> are</c><00:04:11.079><c> like</c><00:04:11.280><c> 5</c><00:04:11.519><c> 10</c>

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think thinking machines are like 5 10
 

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think thinking machines are like 5 10
years<00:04:11.959><c> ahead</c><00:04:12.560><c> Mira</c><00:04:12.840><c> morati</c><00:04:13.200><c> is</c><00:04:13.319><c> like</c><00:04:13.480><c> from</c><00:04:13.720><c> a</c>

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years ahead Mira morati is like from a
 

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years ahead Mira morati is like from a
from<00:04:14.120><c> a</c><00:04:14.280><c> town</c><00:04:14.560><c> opposite</c><00:04:14.879><c> to</c><00:04:15.079><c> where</c><00:04:15.439><c> my</c><00:04:15.560><c> family</c>

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from a town opposite to where my family
 

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from a town opposite to where my family
is<00:04:16.079><c> from</c><00:04:16.280><c> so</c><00:04:16.799><c> neighbor</c><00:04:17.479><c> in</c><00:04:17.560><c> a</c><00:04:17.759><c> way</c><00:04:18.040><c> right</c><00:04:18.320><c> like</c>

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is from so neighbor in a way right like
 

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is from so neighbor in a way right like
I<00:04:18.680><c> think</c><00:04:18.799><c> she's</c><00:04:19.000><c> a</c><00:04:19.120><c> bit</c><00:04:19.239><c> more</c><00:04:19.440><c> advanced</c>

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I think she's a bit more advanced
 

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I think she's a bit more advanced
neighbor<00:04:20.160><c> than</c><00:04:20.799><c> than</c><00:04:20.919><c> me</c><00:04:21.120><c> at</c><00:04:21.239><c> this</c><00:04:21.400><c> point</c><00:04:21.600><c> but</c>

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neighbor than than me at this point but
 

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neighbor than than me at this point but
let's<00:04:21.880><c> see</c><00:04:22.000><c> how</c><00:04:22.120><c> that</c><00:04:22.400><c> that's</c><00:04:22.600><c> right</c><00:04:22.840><c> the</c>

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let's see how that that's right the
 

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let's see how that that's right the
former<00:04:23.479><c> venan</c><00:04:23.960><c> State</c><00:04:24.280><c> produced</c><00:04:24.759><c> a</c><00:04:24.919><c> lot</c><00:04:25.080><c> of</c>

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former venan State produced a lot of
 

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former venan State produced a lot of
different<00:04:26.040><c> cultures</c><00:04:26.880><c> next</c><00:04:27.040><c> to</c><00:04:27.160><c> it</c><00:04:27.639><c> exactly</c>

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different cultures next to it exactly
 

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different cultures next to it exactly
right<00:04:28.560><c> so</c><00:04:29.120><c> uh</c><00:04:29.440><c> and</c><00:04:29.919><c> uh</c><00:04:30.199><c> you're</c><00:04:30.440><c> at</c><00:04:30.560><c> the</c><00:04:30.720><c> state</c>

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right so uh and uh you're at the state
 

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right so uh and uh you're at the state
where<00:04:31.440><c> you</c><00:04:31.680><c> have</c><00:04:32.199><c> this</c><00:04:32.759><c> really</c><00:04:33.160><c> robust</c><00:04:33.880><c> uh</c>

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where you have this really robust uh
 

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where you have this really robust uh
model<00:04:34.759><c> and</c><00:04:34.919><c> it</c><00:04:35.080><c> helps</c><00:04:35.400><c> connecting</c><00:04:36.120><c> different</c>

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model and it helps connecting different
 

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model and it helps connecting different
systems<00:04:37.160><c> so</c><00:04:37.680><c> you're</c><00:04:37.880><c> basically</c><00:04:38.160><c> looking</c><00:04:38.360><c> for</c>

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systems so you're basically looking for
 

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systems so you're basically looking for
partners<00:04:39.160><c> design</c><00:04:39.520><c> Partners</c><00:04:40.280><c> who</c><00:04:40.479><c> will</c><00:04:40.880><c> use</c>

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partners design Partners who will use
 

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partners design Partners who will use
cogne<00:04:42.240><c> right</c><00:04:42.360><c> to</c><00:04:42.520><c> validate</c><00:04:42.919><c> the</c><00:04:43.039><c> ideas</c><00:04:43.440><c> so</c><00:04:43.759><c> if</c>

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cogne right to validate the ideas so if
 

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cogne right to validate the ideas so if
anybody<00:04:44.720><c> here</c><00:04:45.320><c> would</c><00:04:45.479><c> like</c><00:04:45.680><c> to</c><00:04:45.800><c> try</c><00:04:46.120><c> this</c><00:04:46.280><c> out</c>

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anybody here would like to try this out
 

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anybody here would like to try this out
what<00:04:47.120><c> should</c><00:04:47.320><c> they</c><00:04:47.440><c> do</c><00:04:48.000><c> yeah</c><00:04:48.160><c> they</c><00:04:48.280><c> should</c>

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what should they do yeah they should
 

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what should they do yeah they should
just<00:04:48.639><c> go</c><00:04:48.759><c> to</c><00:04:48.919><c> our</c><00:04:49.160><c> website</c><00:04:49.919><c> cy.</c><00:04:50.919><c> and</c><00:04:51.280><c> check</c><00:04:51.479><c> our</c>

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just go to our website cy. and check our
 

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just go to our website cy. and check our
GitHub<00:04:52.039><c> repo</c><00:04:52.360><c> it's</c><00:04:52.440><c> all</c><00:04:52.600><c> open</c><00:04:52.880><c> source</c><00:04:53.240><c> reach</c>

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GitHub repo it's all open source reach
 

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GitHub repo it's all open source reach
out<00:04:53.680><c> to</c><00:04:53.840><c> us</c><00:04:53.960><c> on</c><00:04:54.160><c> Discord</c><00:04:54.639><c> send</c><00:04:54.800><c> me</c><00:04:54.919><c> an</c><00:04:55.080><c> email</c>

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out to us on Discord send me an email
 

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out to us on Discord send me an email
add<00:04:55.759><c> me</c><00:04:55.840><c> on</c><00:04:55.960><c> LinkedIn</c><00:04:56.440><c> happy</c><00:04:56.639><c> to</c><00:04:56.759><c> chat</c><00:04:57.039><c> happy</c>

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add me on LinkedIn happy to chat happy
 

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add me on LinkedIn happy to chat happy
to<00:04:57.400><c> try</c><00:04:57.639><c> cogni</c><00:04:58.039><c> different</c><00:04:58.560><c> setups</c><00:04:59.360><c> that</c><00:05:00.000><c> at</c>

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to try cogni different setups that at
 

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to try cogni different setups that at
Value<00:05:00.560><c> already</c><00:05:01.120><c> right</c><00:05:01.280><c> like</c><00:05:01.440><c> basically</c><00:05:02.120><c> yeah</c>

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Value already right like basically yeah
 

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Value already right like basically yeah
it's<00:05:02.479><c> already</c><00:05:02.880><c> better</c><00:05:03.199><c> than</c><00:05:03.360><c> a</c><00:05:03.560><c> basic</c><00:05:03.919><c> Rag</c><00:05:04.360><c> by</c>

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it's already better than a basic Rag by
 

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it's already better than a basic Rag by
37%<00:05:05.960><c> we</c><00:05:06.120><c> have</c><00:05:06.440><c> the</c><00:05:06.560><c> numbers</c><00:05:06.960><c> benchmarks</c><00:05:07.479><c> so</c>

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37% we have the numbers benchmarks so
 

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37% we have the numbers benchmarks so
happy<00:05:08.280><c> to</c><00:05:08.360><c> share</c><00:05:08.680><c> that</c><00:05:08.919><c> with</c><00:05:09.120><c> others</c>

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happy to share that with others
 

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happy to share that with others
fantastic<00:05:10.240><c> looking</c><00:05:10.440><c> forward</c><00:05:10.720><c> to</c><00:05:10.880><c> your</c>

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fantastic looking forward to your
 

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fantastic looking forward to your
lighting<00:05:11.960><c> talk</c><00:05:12.280><c> and</c><00:05:12.720><c> welcome</c><00:05:13.080><c> to</c><00:05:13.199><c> the</c><00:05:13.280><c> middle</c>

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lighting talk and welcome to the middle
 

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lighting talk and welcome to the middle
thank<00:05:13.800><c> you</c><00:05:13.919><c> very</c><00:05:14.080><c> much</c>