
OpenAI, Anthropic Push Back Against Open-Source AI Models
The two leading AI labs are coordinating efforts to highlight risks from freely distributed model weights, raising questions about competitive motives.
Launches, releases, and hands-on coverage of the AI tools you'll actually use, coding assistants, agents, creative tools, and the infrastructure underneath.

The two leading AI labs are coordinating efforts to highlight risks from freely distributed model weights, raising questions about competitive motives.

New quantization technique slashes memory requirements for running AI image generators on resource-constrained devices.

Nearly 200 companies pledge to prevent artificial intelligence infrastructure from driving up electricity bills for everyday Americans.

Digital environments are reshaping how robots learn to perceive and act in the real world, unlocking new possibilities for embodied AI systems.

New system lets researchers share manipulation task data, potentially speeding up development of dexterous AI systems.

New lightweight model brings generative video capabilities to edge devices, lowering barriers to deploying AI-powered visual content creation.

As language models mature, developers race to build better software layers that manage AI capabilities for coding tasks.

Moonshot and Alibaba's latest releases signal a narrowing competitive gap as Beijing accelerates its push into frontier AI capabilities.

Claude may have discovered a counterexample to the Jacobian Conjecture, a decades-old unsolved problem in algebraic geometry.

An artist's unapologetic embrace of Suno challenges preconceptions about machine-created audio quality and artistic legitimacy.

The reduction signals potential performance optimization or resource constraints in OpenAI's code generation model.

The AI assistant's code execution environment switches to a faster, lighter JavaScript runtime built in Rust for improved performance.

A technical breakdown of Copilot, Cursor, and competing tools for real codebases, with honest limits.

Dave Eggers delivered a sharp critique of generative AI's impact on teaching and creative work during a company talk last year.

New community testing reveals how prompt structure influences AI performance on computationally difficult problems.

Community explores running Claude Code on dedicated hardware to automate desktop tasks, sparking discussion about AI agent capabilities.

The AI model bridges a three-decade gap in convex optimization research, signaling new possibilities for machine learning in theoretical mathematics.

Privacy vulnerabilities in period tracking software expose intimate health information to advertisers and data brokers, raising urgent questions about informed consent.