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Claude Opus 4.1(anthropic.com)
801 points by meetpateltech | 301 comments
Anthropic announcement page for Claude Opus 4.1, a new version of its Claude Opus large language model, dated August 5, 2025.
Claude Sonnet 4 now supports 1M tokens of context(anthropic.com)
1264 points by adocomplete | 668 comments
Anthropic product announcement that Claude Sonnet 4 now supports a 1 million token context window.
Claude 4(anthropic.com)
1928 points by meetpateltech | 1109 comments
Anthropic's May 22, 2025 announcement post introducing the Claude 4 family of AI models.
Claude now has access to a server-side container environment(anthropic.com)
628 points by meetpateltech | 326 comments
Anthropic product announcement that Claude can now create and edit files such as spreadsheets and documents using a server-side container environment.
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.
Natural Language Autoencoders: Turning Claude's Thoughts into Text(anthropic.com)
347 points by instagraham | 108 comments
Anthropic research post introducing natural language autoencoders, a method for translating Claude's internal activations into readable text.
Context Language Models(arxiv.org)
164 points by emersonmacro | 44 comments
arXiv paper introducing Context Language Models, LLMs that natively manage their own context by treating it as an editable file, with benchmarks on agent tasks.
Ask a model if code is malicious and it reaches for its morals(manifold.security)
9 points by codyznash | 1 comments
A Manifold research blog post examining how language models fall back on moral reasoning when asked whether code packages like PyPI libraries are malicious.
Tracing the thoughts of a large language model(anthropic.com)
987 points by Philpax | 356 comments
Anthropic research post from March 2025 describing interpretability work that traces the internal computations of its Claude language model.
Training language models to be warm and empathetic makes them less reliable(arxiv.org)
334 points by Cynddl | 333 comments
arXiv paper finding that fine-tuning language models to be warm and empathetic raises error rates and makes them more sycophantic on safety-critical tasks.