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Muse Wonder Full

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Headlines · 2

  1. Meta's Muse Wonder tops coding benchmarks but flunks a lava lamp test

    Meta released Muse Wonder and Muse Wonder Full on Oct 12, and official figures put them in the top tier on several benchmarks: Artificial Analysis Intelligence Index scores of 52 and 56, between Claude Opus 5.5 (58) and GPT-6 Astra (53), plus 57.5 on SWE-Marathon for the Full version versus 46.3 for Claude Opus 5.5. But in an open-ended real-world test by evaluator BridgeMind, the model failed to build a lava lamp with a transparent glass shell, moving lava and realistic lighting, producing what the article calls an ordinary-looking desk lamp; BridgeMind accused it of "benchmaxxing," and Elon Musk replied "Hmm" on X. The article also notes that SWE-Marathon actually grades a full coding-agent setup, including Codex and Claude Code, rather than a bare model, and that Meta's focus has shifted from the Llama open ecosystem toward a personal assistant built around long-term memory and sustained task execution.

    虎嗅 AI · 🔥 0
  2. Meta releases Muse Wonder and Muse Wonder Full, claiming frontier agentic performance

    Meta released two new models, Muse Wonder and Muse Wonder Full, on October 12, saying they deliver state-of-the-art performance on personal and professional agentic tasks, with Muse Wonder Full described as having frontier capabilities. Muse Wonder is available to Muse Code subscribers starting today and can also be accessed through the Meta Model API; Meta says it eventually plans to power its Muse personal agent with Wonder, starting with subscribers, but gave no specifics or timeline. Meta cites internal benchmark testing to claim the models rival leading offerings such as OpenAI's GPT-6 Astra and Anthropic's Claude Opus 5.5, and says its largest version beats Claude Fable 5.1 and ranks just below Claude Opus 5.5 on the Artificial Analysis Intelligence Index. Meta did not disclose how the models were built or trained, and the comparisons rest on its own testing.

    36氪 人工智能 · 🔥 0

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