Salesforce’s plan to turn AI coding into a shared Slack workflow could reduce handoffs and accelerate development, but ...

Qwen 3.8-27B delivers high-speed local AI generation. Optimize your hardware setup using SG Lang with NVFP4 quantization to ...

A new study finds that ordinary formatting can quietly steer AI reasoning, causing it to overlook words, misread meaning, and ...

Bonsai 27B is a multi-billion parameter model small enough to fit into a smartphone. It’s useful for dev and research work, ...

DeepSeek V4 Flash is a great model, and these machines make it possible to run locally.

Muse Glimmer is Meta’s 29.6B open-weight agentic model with vision, 131K context, tool use, local deployment, strong benchmarks, and DFlash acceleration for faster inference. Local AI: Glimmer brings ...

Researchers found every major AI provider encrypts reasoning tokens with a single global key—and exploited it to decode a trove of data.

Encrypted AI reasoning vulnerability in Anthropic, OpenAI, and Google APIs let researchers decode 315,320 published session ...

Google DeepMind’s journey towards building relevant AI continues. It now has a model called WeatherNext AI, that will predict tropical cyclones sooner. This includes a cyclone’s track, intensity, and ...

Glimmer stakes out different ground: a dense model with native vision input, trained end-to-end around the agent loop, ...

Meta Superintelligence Labs released Muse Glimmer on Monday, a 30-billion-parameter open-weight model designed specifically for autonomous AI agents — and the first model in its size class ...

Meta has introduced Muse Glimmer, a 30-billion-parameter AI model designed to run AI agents locally on consumer hardware.