First screen, captured .
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.
412 points by Anon84 | 132 comments
arXiv listing for a book by Jentzen, Kuckuck, and von Wurstemberger giving a mathematically rigorous introduction to deep learning methods, implementations, and theory.
199 points by vagabund | 74 comments
71 points by fzliu | 10 comments
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.
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.
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.
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.
555 points by kgwgk | 200 comments
Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.