Yann LeCun (楊立昆)
Chief AI Scientist · Meta FAIR
Meta FAIR 首席 AI 科學家,2018 Turing Award 得主。 對立派——公開反對 LLM scaling 路線,主張 JEPA / 世界模型才是通向 AGI 的路。
近期訪談
- 引用r=0.20@ a16z Podcast
Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics. Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the ne
- 提及r=0.70@ Lex Fridman Podcast
Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch). Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/spons
- 提及r=0.20@ Dwarkesh Podcast
Adam Marblestone is CEO of Convergent Research . He’s had a very interesting past life: he was a research scientist at Google Deepmind on their neuroscience team and has worked on everything from brain-computer interfaces to quantum computing to nanotech and even formal mathematics. In this episode, we discuss how the brain learns so much from so little, what the AI field can learn from neuroscien
核心概念分布(歷來)
- 開源AI× 1
- LLM泡沫× 1
- AI安全× 1
- 世界模型× 1
- 反 LLM-scaling× 1
- 自監督學習× 1
- 能量基礎模型× 1
- 學習理論× 1
- 神經網絡× 1