Meta has released Muse Spark 1.1, which it describes as a major upgrade for advanced coding, agentic workflows and multimodal understanding. The model is now available to US developers through a public preview of the company’s Model API as it seeks to match leading AI competitors.

Meta calls Muse Spark 1.1 a “step-change” from the first generation, with improvements based on feedback from developers.
This release arrives days after Meta introduced Muse Image, a text-to-image system that has drawn criticism for pulling in Instagram material from other accounts during its output process.
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Meta and Microsoft are cutting employee use of Anthropic’s Claude AI and directing staff toward their own coding tools, The Information reported. The changes reflect tighter internal AI budgets while customer access to Claude through Microsoft platforms continues to expand.
Google DeepMind, Meta, and Isomorphic Labs are investing $300 million in Biohub to build AI datasets for a virtual cell model. The funding is part of a $1.8 billion initiative that also includes contributions from the Department of Energy and National Institutes of Health.
Anthropic released Claude Haiku 5.5, its cheapest and fastest small model, at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens. Anthropic says it costs around 75% less to run than Haiku 4.5 on average and scores far higher on its benchmarks.
OpenAI released 722 mathematical manuscripts, grouped into 372 result families, produced by an unreleased internal model. The papers are on GitHub, with Lean formalizations for many but not all of them, and OpenAI warns some unformalized results could have issues.
Microsoft has introduced a local edition of MAI-Code-1.1-Flash that runs on Windows PCs without server access. The model requires substantial memory and is coming to GitHub Copilot in experimental preview by the end of October, starting with Nvidia RTX Spark PCs.