Yann LeCun (Chief AI Scientist) 00:00.120
of the wall of the american tech culture well inevitably yeah i mean you you can't completely escape your your upbringing and your culture so i mean i feel both french and american in the sense that you know i mean in the US for thirty seven years and in north america for thirty
Yann LeCun (Chief AI Scientist) 00:22.670
eight because i was in canada before or children grew up in the US and so from that point of view i'm american but i have a view certainly on you know on various aspects of science and society that probably are you know a consequence of growing up in france yeah absolutely and
Yann LeCun (Chief AI Scientist) 00:43.390
if you're french i mean france i'm curious i did not actually realize that you had a brother that also worked in tech i'm fast fascinated by this because yahshua bengio 's brother also works in tech and i always thought that he was the only serena venus williams situation in AI
Yann LeCun (Chief AI Scientist) 01:02.030
but you you too also have a brother so how many more AI research like like is it that common that it just runs in families 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
Yann LeCun (Chief AI Scientist) 01:22.750
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 on operations research and optimization essentially which now is actually also being invaded by machine learning yeah OK one more question so like if the
Yann LeCun (Chief AI Scientist) 01:48.720
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 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
Yann LeCun (Chief AI Scientist) 02:20.280
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 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
Yann LeCun (Chief AI Scientist) 02:36.920
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 human intelligence or more and and basically building AI systems that would you know help people and humanity more generally in their
Yann LeCun (Chief AI Scientist) 02:59.720
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 it's not because something is intelligent that it wants to dominate those are two different things in humanity you know we are
Yann LeCun (Chief AI Scientist) 03:16.190
hardwired having to influence other people and sometimes it's through domination sometimes it's through
? (?) 03:23.060
prestige but the hardwired evolution to do this because we are a social species there's
Yann LeCun (Chief AI Scientist) 03:31.910
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 me too so am i all right OK so we have final questions from the audience and so yeah
Yann LeCun (Chief AI Scientist) 03:54.920
let's start and if you were starting your AI career today what skills and research directions would you focus on 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
Yann LeCun (Chief AI Scientist) 04:14.200
learn things that help you learn to learn because technology is you know evolving so quickly that you all kind of you know the ability to learn really
? (?) 04:28.190
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 is done by learning things i have a
? (?) 04:51.630
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 don't count to study and have a
? (?) 05:11.840
terrible coefficient to make which is i studied electrical engineering as an undergrad