Learning Universal Predictors(arxiv.org)
52 points by jandrewrogers | 14 comments
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Deep Learning Is Not So Mysterious or Different(arxiv.org)
445 points by wuubuu | 112 comments
arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.
GPT-5.2 derives a new result in theoretical physics(openai.com)
545 points by davidbarker | 369 comments
OpenAI post announcing that GPT-5.2 derived a new result in theoretical physics; the captured page shows only a loading logo.
There Will Be a Scientific Theory of Deep Learning(arxiv.org)
320 points by jamie-simon | 142 comments
An arXiv position paper arguing that a scientific theory of deep learning is emerging, surveying five strands of research such as solvable models, scaling limits, and universal behaviors.
AI models can provably hide arbitrary capabilities(arxiv.org)
252 points by sbulaev | 118 comments
An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.
Deep Learning Is Applied Topology(theahura.substack.com)
473 points by theahura | 176 comments
A Substack essay from 12 Grams of Carbon arguing that deep learning is applied topology, explaining how neural networks transform data lying on manifolds.
AI has access to a vastly larger working memory than the human brain(davidepiffer.com)
524 points by rzk | 452 comments
A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.