Claude Sonnet 4.6(anthropic.com)

36 points by meetpateltech 8 months ago | 5 comments

Claude Opus 4.8(anthropic.com)

1708 points by craigmart 5 months ago | 1334 comments

Anthropic's announcement post introducing the Claude Opus 4.8 AI model, dated May 28, 2026.

Claude Opus 4.7(anthropic.com)

1922 points by meetpateltech 6 months ago | 1403 comments

Anthropic's announcement post introducing Claude Opus 4.7, a new version of its Claude AI model, dated April 16, 2026.

Anthropic Cofounder Chris Olah's Remarks on Pope Leo XIV's "Magnifica Humanitas"(anthropic.com)

40 points by Philpax 5 months ago | 37 comments

Claude Mythos 5 / Fable 5(anthropic.com)

16 points by kwar13 4 months ago | 1 comments

What will our economic future look like?(anthropic.com)

181 points by oumua_don17 1 month ago | 350 comments

Tracing the thoughts of a large language model(anthropic.com)

987 points by Philpax 1 year ago | 356 comments

Anthropic research post from March 2025 describing interpretability work that traces the internal computations of its Claude language model.

Claude 2(anthropic.com)

383 points by technics256 3 years ago | 232 comments

Anthropic's July 11, 2023 announcement introducing Claude 2, its new large language model and chatbot.

LLMs are making formal software verification feasible at a much larger scale(anthropic.com)

429 points by johnbender 3 days ago | 265 comments

Anthropic research post describing how Claude produced formal proofs of crash-freedom for RISC-V binaries of 123 OSS-Fuzz open-source libraries, finding bugs along the way.

AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)

343 points by saikatsg 7 months ago | 242 comments

Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 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.

Training language models to be warm and empathetic makes them less reliable(arxiv.org)

334 points by Cynddl 1 year ago | 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.