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10 articlesYann LeCun Still Thinks Large Language Models Are a Dead End
The Turing Award winner has argued for years that predicting the next token is not understanding. He has been unfashionable before, and he may be right.
Andrej Karpathy and the Case Against Hype
Andrej Karpathy, one of machine learning’s clearest teachers, has become one of its more useful sceptics, questioning agentic claims and benchmark scores.
Geoffrey Hinton’s Late Warning About His Machines
The most decorated figure in AI left his employer so he could speak freely about the risks. What he said then reshaped the policy conversation.
Yoshua Bengio and the International Case for AI Safety Science
A Turing Award winner has spent recent years building institutions rather than models, trying to turn AI safety from a promise into a discipline.
Jan Leike: The Alignment Researcher Who Left
A resignation letter from a senior safety researcher became one of the most consequential documents of the year — and it named a specific number.
Chris Olah and the Effort to Read AI’s Mind
Chris Olah has spent years trying to read what happens inside a neural network. It is slow, unglamorous, and the only route to verifying any claim about AI.
Jeff Dean and Google’s Race to Rebuild the Stack
The engineer behind modern large-scale computing is now working on what replaces its current assumptions — and most of the problem is plumbing.