Recently updated channels

Pick one to see only that channelBrowse all channels →

Results

8 articles
Sort
5 slides15:33EN
Matthew Berman· Feb 13, 2025Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time computeModels & trainingAI research+2
5 slides22:17EN
Matthew Berman· Mar 21, 2024Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeModels & trainingAI research+2
2:47:17EN
Lex Fridman· Mar 7, 2024Podcast · 2 speakersIf You Want Human-Level AI, Abandon Generative ModelsGuest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Models & trainingWorld modelsAGI+3
1:06:02EN
20VC with Harry Stebbings· May 15, 2023Podcast · 2 speakersYann LeCun on Open AI Models, Safety and the Future of ResearchGuest Yann Lecun · Host Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.AI researchAI SafetyOpen-weight models+2
2:45:10EN
Lex Fridman· Jan 22, 2022Podcast · 2 speakersA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Guest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.Models & trainingWorld modelsComputer Vision+3
1:15:58EN
Lex Fridman· Aug 31, 2019Podcast · 2 speakersHuman Intelligence Is a Ridiculously Narrow SliverGuest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why giant nets plus gradient descent broke the textbooks, why "AGI" is the wrong word, and why the next leap is a world model learned like a baby.Models & trainingML fundamentalsAI research+3
11:11EN
Lex FridmanPodcast · 2 speakersYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralGuest Yann Lecun · Host Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.Models & trainingBenchmarksAGI+3
10:16EN
Lex FridmanPodcast · 2 speakersReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkGuest Yann Lecun · Host Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.Models & trainingML fundamentalsDeep Learning+3