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Vision language models are blind(vlmsareblind.github.io)
425 points by taesiri | 172 comments
Project page for the research paper "Vision language models are blind" from Auburn University and University of Alberta, with links to the arXiv paper, code, and dataset.
Why language models hallucinate(openai.com)
224 points by simianwords | 188 comments
New models and developer products(openai.com)
1081 points by kevin_hu | 521 comments
OpenAI blog post announcing new models and developer products at DevDay, including GPT-4 Turbo and the Assistants API.
Open models by OpenAI(openai.com)
2027 points by lackoftactics | 804 comments
OpenAI's landing page for its open-weight reasoning models (gpt-oss), with links to download on Hugging Face, view on GitHub, and try the models.
Related stories
Decomposing language models into understandable components(anthropic.com)
402 points by tompark | 58 comments
Anthropic research post from Oct 2023 on decomposing language model neurons into more interpretable features.
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 tools are spotting errors in research papers(nature.com)
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.
Train Your Own LLM from Scratch(github.com)
376 points by kristianpaul | 43 comments
GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.
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.
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.