The.Thinking.Game.2024.1080p.WEBRip.x264.AAC5.1-[YTS.MX] Subtitles

00:00:02,000 --> 00:00:07,Downloaded from
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00:00:30,682 --> 00:00:31,Hi, Alpha.

00:00:32,684 --> 00:00:34,Hello.

00:00:34,077 --> 00:00:35,Can you
help me write code?

00:00:37,559 --> 00:00:39,I was trained
to answer questions,

00:00:40,562 --> 00:00:42,but I'm able to learn.

00:00:43,695 --> 00:00:45,That's very
open-minded of you.

00:00:46,002 --> 00:00:48,Thank you.
I'm glad you're happy with me.

00:00:50,311 --> 00:00:51,What's this guy doing?

00:00:54,532 --> 00:00:56,That's a developer.

00:00:56,665 --> 00:00:58,What do you think
he's working on?

00:00:59,537 --> 00:01:01,That's a tough question.

00:01:01,061 --> 00:01:02,He might be working
on a new feature,

00:01:02,932 --> 00:01:05,a bug fix or something else.

00:01:05,282 --> 00:01:06,It's quite possible.

00:01:06,370 --> 00:01:07,Yes.

00:01:10,548 --> 00:01:11,Do you see my backpack?

00:01:13,986 --> 00:01:15,That's a badminton racket.

00:01:15,336 --> 00:01:17,It's a squash racket,
but that's pretty close.

00:01:20,123 --> 00:01:21,That's a badminton racket.

00:01:21,733 --> 00:01:23,No, but you're not
the first person

00:01:23,170 --> 00:01:24,to make that mistake.

00:01:34,703 --> 00:01:35,AI, the technology

00:01:36,008 --> 00:01:38,that has been advancing
at breakneck speed.

00:01:38,446 --> 00:01:40,Artificial
intelligence is all the rage.

00:01:40,839 --> 00:01:42,Some are now
raising alarm about...

00:01:42,363 --> 00:01:43,It is definitely concerning.

00:01:43,929 --> 00:01:45,This is an AI arms race.

00:01:45,366 --> 00:01:46,We don't know

00:01:46,497 --> 00:01:47,how this is all
going to shake out,

00:01:47,629 --> 00:01:48,but it's clear
something is happening.

00:01:53,809 --> 00:01:55,I'm kind of restless.

00:01:57,073 --> 00:02:00,Trying to build AGI
is the most exciting journey,

00:02:00,163 --> 00:02:02,in my opinion, that humans
have ever embarked on.

00:02:04,254 --> 00:02:06,If you're really going
to take that seriously,

00:02:06,343 --> 00:02:08,there isn't a lot of time.

00:02:08,389 --> 00:02:09,Life's very short.

00:02:12,523 --> 00:02:14,My whole life goal is to solve

00:02:14,525 --> 00:02:16,artificial
general intelligence.

00:02:16,919 --> 00:02:20,And on the way,
use AI as the ultimate tool

00:02:20,401 --> 00:02:21,to solve all the world's

00:02:21,793 --> 00:02:23,most complex
scientific problems.

00:02:25,449 --> 00:02:27,I think that's bigger
than the Internet.

00:02:27,147 --> 00:02:28,I think that's bigger
than mobile.

00:02:29,671 --> 00:02:31,I think it's more like

00:02:31,063 --> 00:02:32,the advent
of electricity or fire.

00:02:45,687 --> 00:02:46,World leaders

00:02:46,775 --> 00:02:48,and artificial
intelligence experts

00:02:48,559 --> 00:02:49,are gathering
for the first ever

00:02:49,952 --> 00:02:52,global AI safety summit,

00:02:52,824 --> 00:02:54,set to look at the risks

00:02:54,391 --> 00:02:56,of the fast growing technology
and also...

00:02:56,654 --> 00:02:57,I think
this is a hugely

00:02:57,916 --> 00:03:00,critical moment
for all humanity.

00:03:01,093 --> 00:03:03,It feels like
we're on the cusp

00:03:03,661 --> 00:03:05,of some incredible things
happening.

00:03:05,837 --> 00:03:07,Let me take you through

00:03:07,099 --> 00:03:08,some of the reactions
in today's papers.

00:03:08,318 --> 00:03:10,AGI is pretty close,
I think.

00:03:10,059 --> 00:03:12,There's clearly huge interest
in what it is capable of,

00:03:12,888 --> 00:03:14,where it's taking us.

00:03:14,846 --> 00:03:15,This is the moment

00:03:16,021 --> 00:03:17,I've been living
my whole life for.

00:03:22,202 --> 00:03:24,I've always been fascinated
by the mind.

00:03:25,030 --> 00:03:27,So I set my heart
on studying neuroscience

00:03:28,033 --> 00:03:29,because I wanted
to get inspiration

00:03:29,992 --> 00:03:31,from the brain for AI.

00:03:31,689 --> 00:03:33,I remember asking Demis,

00:03:33,343 --> 00:03:34,"What's the end game?"

00:03:34,692 --> 00:03:36,You know?
So you're going to come here

00:03:36,216 --> 00:03:38,and you're going
to study neuroscience

00:03:38,261 --> 00:03:41,and you're going to maybe
get a Ph.D. if you work hard.

00:03:42,874 --> 00:03:44,And he said,

00:03:44,180 --> 00:03:46,"You know, I want
to be able to solve AI.

00:03:47,009 --> 00:03:49,"I want to be able
to solve intelligence."

00:03:49,403 --> 00:03:51,The human brain
is the only existent proof

00:03:51,405 --> 00:03:53,we have, perhaps
in the entire universe,

00:03:53,537 --> 00:03:56,that general intelligence
is possible at all.

00:03:56,323 --> 00:03:59,And I thought
someone in this building

00:03:59,326 --> 00:04:00,should be interested

00:04:00,414 --> 00:04:02,in general intelligence
like I **.

00:04:02,633 --> 00:04:04,And then Shane's name
popped up.

00:04:04,853 --> 00:04:07,Our next speaker today
is Shane Legg.

00:04:07,377 --> 00:04:08,He's from New Zealand,

00:04:08,639 --> 00:04:11,where he trained in math
and classical ballet.

00:04:11,555 --> 00:04:14,Are machines actually
becoming more intelligent?

00:04:14,123 --> 00:04:16,Some people say yes,
some people say no.

00:04:16,560 --> 00:04:17,It's not really clear.

00:04:17,692 --> 00:04:18,We know they're getting
a lot faster

00:04:18,910 --> 00:04:20,at doing computations.

00:04:20,260 --> 00:04:21,But are we actually
going forwards

00:04:21,652 --> 00:04:23,in terms
of general intelligence?

00:04:23,872 --> 00:04:25,We were both
obsessed with AGI,

00:04:25,743 --> 00:04:27,artificial
general intelligence.

00:04:27,441 --> 00:04:29,So today I'm going
to be talking about

00:04:29,747 --> 00:04:32,different approaches
to building AGI.

00:04:32,141 --> 00:04:33,With my colleague
Demis Hassabis,

00:04:33,925 --> 00:04:35,we're looking at ways
to bring in ideas

00:04:35,927 --> 00:04:37,from theoretical neuroscience.

00:04:37,494 --> 00:04:41,I felt like we were
the keepers of a secret

00:04:41,629 --> 00:04:43,that no one else knew.

00:04:43,195 --> 00:04:45,Shane and I knew
no one in academia

00:04:45,459 --> 00:04:47,would be supportive
of what we were doing.

00:04:47,852 --> 00:04:50,AI was almost
an embarrassing word

00:04:50,899 --> 00:04:52,to use in academic circles,
right?

00:04:52,901 --> 00:04:54,If you said
you were working on AI,

00:04:54,946 --> 00:04:57,then you clearly weren't
a serious scientist.

00:04:58,036 --> 00:05:00,So I convinced Shane
the right way to do it

00:05:00,125 --> 00:05:01,would be to start a company.

00:05:01,388 --> 00:05:03,Okay,
we're going to try to do

00:05:03,259 --> 00:05:04,artificial
general intelligence.

00:05:04,956 --> 00:05:06,It may not even be possible.

00:05:06,958 --> 00:05:08,We're not quite sure
how we're going to do it,

00:05:08,525 --> 00:05:11,but we have some ideas
or, kind of, approaches.

00:05:11,572 --> 00:05:14,Huge amounts of money,
huge amounts of risk,

00:05:15,010 --> 00:05:16,lots and lots of compute.

00:05:18,709 --> 00:05:20,And if we pull this off,

00:05:20,363 --> 00:05:23,it'll be the biggest thing
ever, right?

00:05:23,584 --> 00:05:26,That is a very hard thing
for a typical investor

00:05:26,151 --> 00:05:27,to put their money on.

00:05:27,370 --> 00:05:29,It's almost like
buying a lottery ticket.

00:05:29,677 --> 00:05:32,I'm going to be speaking about
the system of neuroscience

00:05:32,506 --> 00:05:36,and how it might be used
to help us build AGI.

00:05:36,771 --> 00:05:37,Finding initial funding

00:05:37,989 --> 00:05:39,for this was very hard.

00:05:39,251 --> 00:05:41,We're going to solve
all of intelligence.

00:05:41,297 --> 00:05:42,You can imagine
some of the looks I g***t

00:05:42,951 --> 00:05:44,when we were
pitching that around.

00:05:44,822 --> 00:05:47,So I'm a V.C.
and I look at about

00:05:47,956 --> 00:05:51,700 to 1,000 projects a year.

00:05:51,046 --> 00:05:54,And I fund
literally 1% of those.

00:05:54,832 --> 00:05:57,About eight projects a year.

00:05:57,182 --> 00:06:00,So that means 99% of the time,
you're in "No" mode.

00:06:00,316 --> 00:06:01,"Wait a minute.
I'm telling you,

00:06:01,665 --> 00:06:03,"this is the most important
thing of all time.

00:06:03,841 --> 00:06:05,"I'm giving you
all this build-up

00:06:05,147 --> 00:06:06,"about how... explain

00:06:06,278 --> 00:06:07,"how it connects
with the brain,

00:06:07,715 --> 00:06:09,"why the time's right now,
and then you're asking me,

00:06:09,456 --> 00:06:10,"'But what's your, how are you
going to make money?

00:06:11,022 --> 00:06:12,"'What's your product?'"

00:06:12,197 --> 00:06:15,It's like,
so prosaic a question.

00:06:16,506 -->...