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5 diapositivas22:17EN
Matthew Berman· 21 mar 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 computeModelos y entrenamientoAI research+2
7 diapositivas12:34EN
Matthew Berman· 14 mar 2024Figure 01 and the Path Toward More Capable RobotsMatthew Berman, Lex Fridman, Yann Lecun · Forward FutureMatthew Berman surveys humanoid and other robotics demonstrations, then shares Yann LeCun’s view on the work still needed for general-purpose robots.RoboticsWorld modelsHuman-AI Collaboration+2
2:47:17EN
Lex Fridman· 7 mar 2024Pódcast · 2 vocesIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoWorld modelsAGI+3
33:23EN
20VC with Harry Stebbings· 24 nov 2023Pódcast · 11 vocesAI Leaders Debate Open Models, Pricing and the Future of SearchInvitado: Emad Mostaque, Des Traynor, Jeff Seibert, Yann Lecun, Richard Socher, Cris Valenzuela, Douwe Kiela, Tomasz Tunguz, Miles Grimshaw, Christian Lanng · Presenta: Harry StebbingsA compilation of separate interviews brings together competing 2023 predictions about model economics, assistants and the largest technology companies.Foundation ModelsOpen-weight modelsAI Strategy+2
1:06:02EN
20VC with Harry Stebbings· 15 may 2023Pódcast · 2 vocesYann LeCun on Open AI Models, Safety and the Future of ResearchInvitado: Yann Lecun · Presenta: 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· 22 ene 2022Pódcast · 2 vocesA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Invitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoWorld modelsComputer Vision+3
1:15:58EN
Lex Fridman· 31 ago 2019Pódcast · 2 vocesHuman Intelligence Is a Ridiculously Narrow SliverInvitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoFundamentos de MLAI research+3
11:11EN
Lex FridmanPódcast · 2 vocesYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralInvitado: Yann Lecun · Presenta: 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.Modelos y entrenamientoBenchmarksAGI+3
10:16EN
Lex FridmanPódcast · 2 vocesReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.Modelos y entrenamientoFundamentos de MLDeep Learning+3