Yann LeCun
Person on 2 sites
Professor of Computer Science at New York University and 2018 Turing Award laureate; a leading researcher in deep learning, known for convolutional neural…
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2 channels on ppll (opens ppll.app)
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Bluesky: yann-lecun.bsky.social (opens bsky.app)
“Aravind Srinivas (Perplexity) tells Lex all the ways in which I was right against the prevalent ideas of the time: DL, ConvNets, energy-based models, SSL, the limitation of RL, and now the limitations of…”
- x.com: @ylecun (opens x.com)
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Bluesky: yann-lecun.bsky.social (opens bsky.app)
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8 beliefs on korrents (opens korrents.com)
- Auto-regressive LLMs in their current form will not take us to human-level AI (opens korrents.com)
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Regulating AI deployment is fine, but regulating AI research and development obstructs open research and open-source AI (opens korrents.com)
“SB1047 attempts to regulate AI research and development, creating obstacles to the dissemination open research in AI and open source AI platforms. Regulating the deployment of AI applications is fine.”
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Auto-regressive LLMs that spend a fixed amount of computation per token cannot reason, whatever the architecture (opens korrents.com)
“The problem isn't that it is a transformer. The problem is that it is an auto-regressive LLM. Auto-regressive LLMs that compute each token with a fixed number of computational steps can't reason, regardless of the…”