
Yann LeCun -- Born: 1960-07-08. Occupation: artificial intelligence researcher. Employer: Bell Labs. Education: ESIEE Paris. Awards: AAAI Fellow.
Born1960-07-08
Occupationartificial intelligence researcher, computer scientist, electrical engineer, professor
EmployerBell Labs, Collège de France, Meta, New York University
EducationESIEE Paris, Pierre and Marie Curie University, Sorbonne University, University of Toronto
AwardsAAAI Fellow, Harold Pender Award, PAMI Distinguished Researcher Award, Turing Award, honorary doctor of the École polytechnique fédérale de Lausanne
Material current as of
Highlights
“Elon is now in a position that is very, very difficult for him to kind of hire top people in AI, because he's kind of, you know, not behaved in sort of very good ways toward the ... previous team.”
CNBC2026-07-10Source“They [LLMs] basically just accumulate knowledge... They can regurgitate something, you train them to regurgitate, but they're not particularly smart. They don't have an underlying understanding,”
BBC News2026-07-10Source“going to have to increase prices, they're going to have to cut costs, or there's going to be a big bubble explosion.”
CNBC2026-07-10Source“the cost of running those systems with this kind of performance is very high compared to the amount of money that users are ready to pay.”
CNBC2026-07-10Source“The prices are going up of those AI services, but the cost of running them is going down, but not nearly fast enough. And so all of those companies are losing money, and basically, the use for most people is funded by the investors. That can't go on for a very long right?”
CNBC2026-07-10Source“We don't have robots that are nearly as good at understanding the physical world as a rat,”
BBC News2026-07-10Source“I personally don't think we're going to have generalized reliable agentic systems until they're based on world models,”
CNBC2026-07-10Source“Will AI take over the world? No, this is a projection of human nature on machines,”
BBC News2025-11-20Source“We need machines that understand the world; [machines] that can remember things, that have intuition, have common sense, things that can reason and plan to the same level as humans,”
TechCrunch2024-10-17Source“Despite what you might have heard from some of the most enthusiastic people, current AI systems are not capable of any of this.”
TechCrunch2024-10-17Source“You’re going to have to pardon my French, but that’s complete B.S.”
TechCrunch2024-10-12Source“do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan… hierarchically.”
indianexpress.com2024-05-28SourceWorks Timeline
- Gradient-based learning applied to document recognitionPaper
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- wired.com · 2023-12-22
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