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Alexandr Wang Describes Muse Wonder as a Video Director

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Alexandr Wang described Muse Wonder as a video director in a post on X.

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10/17
  1. Alexandr Wang Thanks Meta Superintelligence Labs for Reaching a Model-Building Milestone

    Alexandr Wang thanked Meta Superintelligence Labs’ research teams after a week of launches, including Muse Wonder [full] and Muse Spark open. He said MSL and TBD began a little more than a year ago with the goal of producing a frontier model within a year or so, despite the ambition of that target given where Llama 4 landed. Wang said the teams have also built a scalable system for continuing to advance models at the frontier.

10/16
  1. DeepSeek will refund users after a service outage, with some receiving over 3,000 yuan

    DeepSeek apologized for an API outage on October 15 and said it would return users’ API spending from October 8–14 as account credits. Users shared refunds ranging from a few cents to more than 3,000 yuan, depending on their usage. The company did not explain the outage’s cause; the report says the platform had experienced at least 18 widespread service disruptions so far this year.

10/13
  1. Shing-Tung Yau launches Chinese AI mathematics alliance amid Western skepticism

    Shing-Tung Yau and leading Chinese mathematicians launched the Yau Laboratory Alliance for Mathematics and Artificial Intelligence on Sunday in Beijing, according to the South China Morning Post. It unites eight institutions and aims to connect over 1,000 researchers, with plans for specialized models, machine-verifiable proofs, and transparent AI reasoning. Meanwhile, 25 Fields Medal winners, including Terence Tao and Peter Scholze, worry that AI-generated proofs erode mathematical understanding and encourage dependence on tools researchers cannot follow.

  2. Meta launches Muse Wonder and Muse Wonder Full frontier models

    Meta Superintelligence Labs released Muse Wonder and Muse Wonder Full, its second-generation model family for personal and professional agentic work. Latent Space reports that Wonder is available through the Meta Model API and Muse Code, while Full is limited to Muse Code subscribers. Artificial Analysis gives Wonder Full and Wonder Intelligence Index v4.3 scores of 56 and 52, respectively, versus Opus 5.5’s 58; Wonder supports a 1M context window and text, image, video, and audio inputs, with text-only output.

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