Machine Learning Research

Reinforcement learning can’t train a model to solve a difficult problem if the model doesn’t discover all the right steps.

Nvidia’s largest-yet model is among the best-performing from a developer based in the U.S. and among the most open developed by anyone.

SWE-bench, a family of benchmarks that focuses on an LLM’s ability to fix software bugs, is giving way to new tests that evaluate agent software-engineering performance in more challenging ways.

Before Anthropic pulled its latest Claude models from circulation, even professional testers couldn’t readily tell whether they were getting a Mythos-class model or a lesser version under the same name.

Popular large language models have adopted the biases of governments that control the free flow of information, particularly when those models generate output in the languages of countries where such governments are in power, researchers found.

The phrase recursive self-improvement erupted on social media following an Anthropic report that tracked AI-driven gains in the company’s internal software-engineering productivity.

Cursor’s latest software engineering model rivals the performance of leading competitors like Claude Opus 4.7 and GPT 5.5 for a fraction of the price.

After months of headlines that teased a large language model with extraordinary capabilities, Anthropic launched Claude Mythos 5, which can crack software previously believed to be secure, and Claude Fable 5, a version for general use that limits what users can do in an unprecedented way.

Fine-tuning large language models on a seemingly benign task that would be useful to writers — expanding plot summaries into paragraphs of polished fiction — causes them to regurgitate substantial portions of books on which they were pretrained.

Alibaba updated its flagship large language model for long-running agentic work, pushing it into the top rank among LLMs built in China.

Text-to-image generators that use diffusion or flow-matching typically compose a whole image at once (although they refine the whole image in steps).

The European Union weakened some provisions of its landmark AI Act and delayed others after businesses and policymakers argued the law made European companies less competitive.

Google’s faster model brings substantive gains at a substantially higher price, part of a rising trend in prices per token.

AI agents seem to be increasingly capable of performing economically valuable tasks, but current benchmarks measure this capability only narrowly.

An AI-generated script to bypass two-factor authentication signals a dawning era of industrial-scale cyberattacks, according to a Google report.