Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Overview: Java is best for large, secure, long-term enterprise systems with a strong type-safe guarantee.JavaScript dominates ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

A general-purpose Claude Code action for GitHub PRs and issues that can answer questions and implement code changes. This action intelligently detects when to activate based on your workflow ...

Finally, the code for the web UI client used in the Moshi demo is provided in the client/ directory. If you want to fine tune Moshi, head out to kyutai-labs/moshi ...

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the ...

ABI and scripting to the Wasm Component Model (WASI Preview 2). He shares how to build secure plugin systems that run at near ...

U.S. speedskater Jordan Stolz had a lot of hype accompanying him in these Winter Olympic Games. He's now got two gold medals, one silver, with one event to go.

Developers say generative AI is compressing timelines from months to minutes, but the technology requires careful human ...