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Muse Code

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Headlines · 8

  1. Meta reportedly builds enterprise AI sales organization

    The Information, as reported by Pinwest, says Meta is assembling a sales organization for small and medium-sized businesses and partnering with consulting firms and systems integrators to reach large enterprises. The reported plan follows Meta's September 28 launch of Meta Enterprise Platform, which combines Muse Agent, Meta Business Agent, Muse API and Muse Code.

    品玩 实时要闻 · 🔥 9
  2. T3 Code launches Orchestrator V2 stable release

    T3 Code has launched the stable release of Orchestrator V2, adding multi-model and multi-harness orchestration to its open-source agentic programming interface. The reported integrations include Codex, Claude Code, Cursor, Grok, OpenCode, Antigravity, Muse Code, and Pi, with other ACP-compatible harnesses available through the ACP Registry.

    36氪 人工智能 · 🔥 6
  3. Meta launches Muse Ember for cost-efficient agent tasks

    Meta launched Muse Ember, its smallest and most efficient model, for repeated agent work such as tool calls, coding subtasks, routing, extraction, and long-document parsing. The hosted model supports native text, image, audio, and video inputs, a 1-million-token context window, and is available through Meta Model API and Muse Code. Artificial Analysis measured a 35.8 score at maximum reasoning versus 36.2 for Claude Haiku 5.5, while Meta says Muse Ember completes tasks at about one-third of the latter’s cost.

    Hacker News 首页（100+ 分） · 🔥 101
  4. Meta ships Muse Wonder-trained specialized models to Muse and Meta AI

    Meta announced on November 6 that specialized models trained with its frontier Muse Wonder series are now rolling out to Muse and Meta AI, bringing over the Active Memory and Active Focus capabilities first introduced with Muse Wonder. Meta says Active Memory helps models recognize when earlier information still matters and separate it from stale context, while Active Focus helps them recover from setbacks or find alternatives when constraints change. Meta's internal evaluations report a 2.4x reduction in forgetting goal-critical information, a 67% improvement in getting unstuck as constraints evolve, 90% correct use of critical context versus 76% for previous models, and a Personal Superintelligence Index score of 47% up from 38%.

    AI at Meta (X) · 🔥 6
  5. Meta Acquires Parallel-Agent Coding Startup Conductor

    Meta confirmed the acquisition of Conductor, an AI coding startup whose platform deploys multiple coding agents in isolated, parallel workspaces. The agents come from external labs including Anthropic and OpenAI, and Conductor’s team is set to join Meta Superintelligence Labs. Conductor Cloud is scheduled to become read-only on November 13 and shut down on November 20, when the company says it will begin deleting cloud user data.

    TechCrunch AI · 🔥 0
  6. Meta releases Muse Wonder frontier model, lands in Cursor at $4/$20 per million tokens

    Meta released the Muse Wonder model series in the early hours of October 13, 2026, Beijing time, and CEO Mark Zuckerberg and Meta Superintelligence Labs chief AI officer Alexandr Wang detailed the launch on the Cheeky Pint podcast, according to 智东西. The two said the series reaches state-of-the-art results on personal and professional agent tasks and leads coding benchmarks including DeepSWE and SWE-Marathon, as well as finance and legal evaluations — claims attributed to them, with no independent measurement supplied. Zuckerberg said Wonder is larger and more expensive to serve than Muse Spark, so it is offered first in paid subscriptions and also through the Meta model API and OpenRouter, with Muse Wonder Full available to Muse Code subscribers. Cursor's official account then said Muse Wonder is available on its platform, scoring 46.1% on CursorBench at default effort — the highest of any Muse model — priced at $4 per million input tokens and $20 per million output tokens.

    智东西 · 🔥 0
  7. Meta Unveils Muse Models After Revealing $100B–$200B AI Infrastructure Commitment

    Mark Zuckerberg said in a Bloomberg report that Meta committed to spending $100 billion or $200 billion on AI infrastructure in 2025 before it knew whether its AI products would succeed. Separately, Meta announced Muse Wonder and Muse Wonder Full, describing them as its most capable models to date for coding, complex reasoning, autonomous tasks, document analysis and financial research. Muse Wonder is available through Meta’s Model API and Muse Code, while Muse Wonder Full is limited to Muse Code subscribers; Meta has not announced separate API access for the latter.

    36氪 人工智能 · 🔥 0
  8. Meta and Microsoft cut internal Claude use ahead of Anthropic's IPO

    According to The Information, Microsoft has trimmed its internal Claude spending by more than a third from a peak of over $1 billion annualized earlier this year, cutting cloud-division token budgets from $100,000 per employee per month to about $10,000 and pushing staff toward GitHub Copilot. Meta's internal Claude Code users fell from roughly 60,000 to about 30,000 as it shifted to its own Muse Code and MetaCode tools. Both firms still pay Anthropic: Meta spent more than $105 million on Claude Code in a recent 28-day period, Microsoft still pays roughly $670 million a year, and customer-driven Claude usage inside Copilot keeps growing. Anthropic told investors its ARR rose about sevenfold, from $9 billion to $65 billion since January, while its filing cited two unnamed customers at about 25% of revenue — a figure one report says reflects 2025.

    机器之心 · 🔥 0

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