EP20: Yann LeCun - part 13/15

Yann LeCun (Chief AI Scientist) 00:00.430

i have no idea that's what i have a sister who you know is not in tech but she's also a professor my brother was a professor before he moved to google he he doesn't work on AI machine learning he's very careful not to he's a younger brother six years younger than me and he works

Yann LeCun (Chief AI Scientist) 00:22.880

on operations research and optimization essentially which now is actually also being invaded by machine learning

? (?) 00:35.400

yeah OK one more question so like if the world models work in twenty years from now what is the what is the dream like how what how does it look like how does i know like our lives will be

Yann LeCun (Chief AI Scientist) 00:53.470

total world domination OK it's a joke the the i i said this status because this is what linda starvalds used to say you say like what's your goal with linux and you say total i thought it was super funny and it actually succeeded i mean basically you know to first approximation

Yann LeCun (Chief AI Scientist) 01:20.630

every computer in the world runs linux there's only a few desktops that don't and a few iphones but you know everything else with linux so really like you know having you know pushing towards like a recipe for training and building intelligence systems perhaps all the way to

Yann LeCun (Chief AI Scientist) 01:39.910

human intelligence or more and and basically building AI systems that would you know help people and humanity more generally in their daily lives at all times amplifying human intelligence will be their boss right it's not like those things are going to dominate us because again

Yann LeCun (Chief AI Scientist) 01:59.350

it's not because something is intelligent that it wants to dominate those are two different things in humanity you know we are hardwired having to influence other people and sometimes it's through domination sometimes it's through prestige but the hardwired evolution to do this

Yann LeCun (Chief AI Scientist) 02:20.070

because we are a social species there's no reason we would build those kind of drive into into our intelligent systems and it's not like they're going to develop those kinds of drives by themselves so so yeah i'm quite optimistic

? (?) 02:37.280

me too so am i all right OK so we have final questions from the audience and so yeah let's start and if you were starting your AI career today what skills and research directions would you focus on

Yann LeCun (Chief AI Scientist) 02:55.400

i get a lot this question a lot from young students or parents of future students i mean i think you should learn things that have a long shelf life and you should learn things that help you learn to learn because technology is you know evolving so quickly that you all kind of

Yann LeCun (Chief AI Scientist) 03:16.270

you know the ability to learn really quickly and basically that can that is done by you know learning very busy so in the context of stem right science and technology engineering mathematics and i'm talking about humanities here this is although you should learn philosophy this

Yann LeCun (Chief AI Scientist) 03:41.310

is done by learning things i have a long shared life so the joke i say is that if you first of all you the things i have a long shelf life tend to not be computer science OK so here's a computer science professor you know are you against studying computer science don't count

? (?) 03:58.440

don't count to study

Yann LeCun (Chief AI Scientist) 04:02.520

and have a terrible coefficient to make which is i studied electrical engineering as an undergrad so i'm not a real computer scientist OK but what what we should do is learn kind of basic things in mathematics in modeling mathematics that can be connected with reality you tend

Yann LeCun (Chief AI Scientist) 04:20.190

to learn this kind of stuff in engineering in some schools that's linked with computer science but sort of you know electrical engineering mechanical engineering et cetera engineering disciplines you're all you're running in the US calculus one two three that gives you a good

Yann LeCun (Chief AI Scientist) 04:35.110

basis right computer science you don't you know you can get away with just calculus one that's not enough right you know we're learning you know probability theory and linear algebra you know all the stuff that are really kind of basic and then if you do network engineering

Yann LeCun (Chief AI Scientist) 04:52.680

things like i don't know control tiers or signal processing like all of those methods optimization you know all of those methods are really useful for things like AI and then you can you can basically learn similar things in physics because physics is all about like what should

Yann LeCun (Chief AI Scientist) 05:10.240

i represent about reality to be able to make predictive models right and that's really what intelligence is about so so i think you can learn most of what you need to learn also if you go through a physics a curriculum but obviously you need to learn enough computer science to

Yann LeCun (Chief AI Scientist) 05:28.190

kind of program and use computers and even though AI is going to help you be more efficient at programming you still need to know like how how to do this what