The Chinese company said its new open-source model can continue to improve over hundreds of iterations, as AI vendors race to build tools that can handle longer software tasks.

The mean number of open-source vulnerabilities per codebase doubled in the past year, according to the annual Black Duck Open Source Software and Risk Analysis (OSSRA) report released Wednesday. The ...

Open source has always had issues, but the benefits outweighed the costs/risks. AI is not merely exponentially accelerating tasks, it is disproportionately increasing risks. Coders are understandably ...

Anthropic is in advanced talks to acquire developer tools startup Stainless for at least $300 million, according to a person ...

AI has made it easy to generate software code, but some open source projects have stopped taking code submissions from the public, citing a deluge of low quality code or code that doesn’t match ...

Qwen 3.6 Plus has made waves in the open source AI landscape with its impressive ability to handle up to 1 million tokens in a single context. Highlighted by World of AI, this model is particularly ...

Top open-source maintainers find that AI has suddenly become much more useful. There are still legal and 'AI slop' problems to overcome. By year's end, AI programming tools should be much more ...

OpenAI on Thursday announced the acquisition of Astral, the developer of open source Python tools that include uv, Ruff and ty. It says that it plans to integrate them with Codex, its AI coding agent ...

Meta announced a major update to its open-source Immersive Web SDK (IWSDK) framework, which lets developers build VR ...

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is ...

The Allen Institute for AI (Ai2) is open-sourcing the recipe and ingredients for advanced coding agents, making them trainable on an organization’s own code base at low cost — a move that could loosen ...

The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption — and ...