8 articles
Meta open-sourced Muse Glimmer, a 30B Apache 2.0 multimodal agent model that runs in a 24GB envelope at up to 233 tok/s. MCP Atlas 75.5, SWE-Bench Verified 76.0, 131K context. Here is what the numbers actually say.
Meta released Muse Code, a terminal coding agent, and Muse Spark 1.2 on August 5, 2026. The model co-trains with the harness, logs every call to a replay-safe event log, and offers a $0.10/$0.20 contributor tier if Meta may train on your data.
Nvidia, Microsoft, Meta, OpenAI, and 30+ signatories published an open letter arguing that open-weight AI models are essential to American AI leadership. The letter draws battle lines that divide Silicon Valley.
Meta launches Muse Spark 1.1 through the new Meta Model API - a 1M-token-context model for personal agentic tasks with OpenAI-compatible endpoints, $20 free credits, and pricing that undercuts the competition.
Meta's first paid API model arrives with $1.25/M input tokens, 1M context window, and strong tool-use benchmarks. HN debates what it means for the open-weights company.
SAM 3.1 finally hits the latency budget for realtime video. Here is how to wire Meta's new segmentation model into a production pipeline without melting your GPU.
Meta's Llama 4 family brings mixture-of-experts to open source with Scout and Maverick. Here's how to run them locally, access them through APIs, and decide when they beat the competition.
Meta surprised the AI community with Llama 3.3, a 70 billion parameter model that delivers 405B-class performance at a fraction of the cost. Here is what the benchmarks show, where to run it, and why this release matters for developers building with open-source models.
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