@ylecun
Founder/Chair, AMI Labs; Professor, NYU; Partner, 224 Ventures; Ex-Chief AI Scientist, Meta. Researcher in AI, ML, Robotics, etc. ACM Turing Award Laureate.
AI
The Rundown AI says an Anthropic co-founder made the claim; another post quotes Musk joking about Anthropic’s name.
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A post argues superposition increases memory capacity without affecting interpretability, and warns against one-feature-per-neuron LLMs.
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Clark shared a livestream link and said his talk would cover the choices he believes people will need to make.
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finkd says the model runs well on new Mac Studios, crediting work with Apple and John Ternus.
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A user asks what remains mysterious about generalization; a reply points to defining “domain” and distinguishing generalization from memorization.
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A reply calls training on node traces “super inefficient” and asks why not call a tool instead.
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One post argues that persuasion and election predictions face external limits; a reply says physics constrains computational tasks, too.
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One post says Dominik's result looked more convincing than expected; another praises novel ideas rather than just scaling.
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A post asks people convinced LLMs interpolate rather than extrapolate for their perspective on AlphaZero.
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Stephen Wolfram says he found the hit while looking up someone he planned to visit, recalling a “lost” abstract.
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A commenter cites tumor screening, translation and accessibility tools to argue against dismissing AI wholesale.
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A researcher recalls three attendees claiming a speaker’s work had been done a few, 10 and 20 years earlier.
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Mistral says Mistral Large 4 is live via API in public preview now, with open weights due at the end of October. Reuters says the launch is part of Mistral’s push to narrow the gap with leading Chinese open-weight models.
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Hernandez Garcia reports that resetting selected units or weights maintained plasticity across the systems tested.
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In posts tied to a new MIT Technology Review piece, former Google DeepMind researcher Thore Graepel argued that advanced AI needs auditable reasoning, then drew responses from Yann LeCun, David Duvenaud and Gary Marcus.
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A user endorses Kevin Buzzard’s proposal to let machines explore math, then begin the journey toward wherever they get stuck.
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A user jokes that adding LLM agents to Waymo cars’ workflows could let the company avoid responsibility for accidents.
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A post says Yann’s answer is no and quotes Chris saying that view has “been proven to be wrong.”
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A user argues that Meta-FAIR’s Galactica faced a backlash that pushed its team to remove the demo, contrasting that with the enthusiastic welcome ChatGPT later received.
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A commentator challenges the claim that large language models are limited to memory and retrieval, arguing that their learned representations allow them to find new solutions.