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All news · Today4 items

#Meta

All collected and published items, ordered by time. Picks are a selected subset.
Today10/17Sat
  1. Alexandr Wang · X35

    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.

  2. NVIDIA AI · X73

    Meta releases Muse Spark Open, an 816B open-weights model

    NVIDIA AI congratulates @alexandr_wang and the @Muse team on their open-weights model release. https://t.co/7JH7PXOnAz In the quoted post, @ArtificialAnlys reports that Meta's Muse Spark Open has 816B parameters (42B active) and scores 39 on the Artificial Analysis Intelligence Index, ranking it the #1 US open-weights model. Muse Spark Open (xhigh) scores 22 points above Meta's 30B dense Muse Glimmer (high, 17). https://t.co/jf31mQNINe

    The same story is shown in the picks as 《Meta releases Muse Spark Open, scoring 39 on Artificial Analysis Intelligence Index》

  3. Ars Technica · AI66

    Meta’s new commercial terms could grant broad AI training permissions over linked websites

    Meta’s updated commercial terms, effective October 30, authorize crawling linked business website content and using it to train and improve its products, raising legal experts’ concerns about AI licensing rights. Ars found broader permissions than in existing advertising terms, including provisions for test credentials. Meta says its crawler practices are unchanged and content owners can still block access through robots.txt; experts say whether courts would enforce the terms is unclear.

  4. The Verge · AI65

    Meta’s new terms may allow it to train AI on news sites for free

    Meta’s commercial terms taking effect October 30th may authorize AI training on websites associated with businesses using its platforms, according to Nieman Lab’s reporting cited by The Verge. Legal experts say the terms could let Meta argue that contractual permission overrides blocking instructions such as robots.txt. Meta disputes that interpretation, saying its crawler practices are unchanged and the update concerns product information for ad and content recommendations.

10/16Fri
  2. Artificial Analysis · X79

    Meta releases Muse Spark Open, scoring 39 on Artificial Analysis Intelligence Index

    Meta has released Muse Spark Open, an 816B (42B active) open-weights model that Artificial Analysis reports scores 39 on its Intelligence Index, making it the #1 US open-weights model. Muse Spark Open (xhigh) scores 22 points above Muse Glimmer (high, 17), Meta's 30B dense open-weights model. https://t.co/jf31mQNINe

    Why it matters: The comparison places Muse Spark Open 22 points above Muse Glimmer on the same intelligence index, providing a concrete reference for the reported capability gap between Meta's open-weights models.

  3. Alexandr Wang · X30

    Alexandr Wang Reacts to @kirillk_web3’s Muse Spark Post

    @kirillk_web3 says Meta’s Llama 4 disappoints everyone, Meta goes closed with Muse Spark, Zuck writes a $100-200 billion check, Muse Wonder ships on Monday, and 3 days later Meta drops you with open weights: 816 billion parameters, only 42 billion active at a time. https://t.co/031gtR0nHm https://t.co/nEN1JMzvBa Alexandr Wang: “lmao muse spark open balling out” https://t.co/AcUT9o8NEQ

  8. The Verge · AI22

    Hollywood’s New Tech Films Take a Sharper View of Silicon Valley

    A new wave of films about Silicon Valley figures presents them more critically than earlier portrayals, reflecting audiences’ dimming views of Big Tech. The films include The Social Reckoning, which connects Facebook’s past decisions to current concerns about Meta’s influence, and Alex Gibney’s Musk documentary, which is screening in select theaters and has faced advertising restrictions. Luca Guadagnino’s Artificial and Nathan Fielder’s You Can See Everything also examine Sam Altman and Elizabeth Holmes, respectively.

  10. TechCrunch · AI78

    Meta launches Muse Spark Open, an open-weight AI model designed for Macs

    Meta has launched Muse Spark Open, a natively multimodal open-weight model with 816 billion parameters and a 1 million token context window, built for complex coding tasks and agentic workflows. It is designed to run locally on Macs, though Engadget reports it requires at least 1 terabyte of RAM. Meta claims superior performance over other popular open-weight models in its evaluations and is making the model available now through multiple API platforms.

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  11. The Decoder77

    Meta releases Muse Spark Open for coding and agentic tasks

    Meta has released Muse Spark Open, an open-weight model with 816 billion parameters (42 billion active), up to one million tokens of context, and text, image, video, and audio support. Meta reports leads over Qwen 3.8, GLM 5.3, and Kimi K3 in several benchmark categories, while trailing some competitors in coding. Weights are on Hugging Face; use requires the label "Built with Muse Spark Open," and API providers earning more than $20 million annually need a separate agreement with Meta.

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  14. vLLM · X69

    vLLM adds day-0 support for Meta’s open-weight Muse Spark Open

    Day-0 support for Meta’s open-weight Muse Spark Open is live on vLLM, verified on NVIDIA and AMD GPUs as well as TPUs! 816B parameters, 42B active per token, a 1M-token context with image, video and audio inputs, built for long-horizon agentic coding. We’re excited to have worked https://t.co/MleWIPrBMD

    Why it matters: Verification across NVIDIA and AMD GPUs and TPUs gives deployment teams concrete hardware compatibility information for running Meta’s open-weight model through vLLM.

  15. NVIDIA AI · X85

    Meta releases Muse Spark Open for coding and agentic work

    Meta announced Muse Spark Open, describing it as the most capable US open-weight model to date, built for coding, agentic work, and multi-step reasoning. NVIDIA AI says the 816B model was trained on NVIDIA GB300 NVL72 and has a 1M-token context window for working across large codebases. Meta also produced NVFP4 checkpoints optimized for Blackwell Ultra. https://t.co/yAtoxNeYJm https://t.co/HJUKdC1n3D

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  16. The Verge · AI78

    Meta and Apple team up to run Muse Spark Open on Macs

    Meta announced Muse Spark Open today, releasing its weights and saying it can run on two Apple M5 Ultra Mac Studios using the latest MLX framework. Meta says the natively multimodal model has 816 billion total parameters and excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Meta and Apple collaborated over several months, and Apple published a technical post covering MLX, Muse Spark Open, and two other open models.

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  17. AWS Machine Learning Blog60

    Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

    Meta’s coding-optimized open-weight model Muse Spark Open is now available in Amazon SageMaker JumpStart in BF16 and NVFP4 variants, with a 1 million-token context window and 816B total parameters, including 42B active per token. AWS provides deployment instructions using SageMaker Studio or the SageMaker Python SDK, plus inference and cleanup examples. At launch, availability covers US East (N. Virginia) and US East (Ohio).

    Why it matters: The deployment walkthrough connects BF16 and NVFP4 memory requirements to supported instance types, giving teams a concrete basis for planning infrastructure when evaluating the model on their repositories.

  18. 宝玉 · X84

    Meta releases Muse Spark Open with downloadable weights and conditional commercial use

    Baoyu reports that Meta released Muse Spark Open on October 15, an open-weight model with 816B total parameters, 42B active parameters, and a 1M token context window. It accepts text, images, video, and audio and outputs text; the Muse Model License permits free commercial use subject to attribution, usage restrictions, and a separate agreement for qualifying API businesses. The model card lists minimum memory requirements of 700GB for NVFP4 and 2TB for BF16, while Meta describes optimization for two Mac Studio machines with 512GB unified memory each.

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  21. Nathan Lambert · X37

    Nathan Lambert Says He Needs to Blog After @AIatMeta Announces Muse Spark Open

    @AIatMeta says it is releasing Muse Spark Open, which it calls “the most capable US open-weight model to date.” The quoted post says the model is built for coding and agentic work and lists 816B total and 42B active parameters, plus a 1M token [context window](https://t.co/yAtoxNeYJm). Nathan Lambert reacts: “Okay now I really gotta blog 🎉” https://t.co/uKl5X18Xpw

  22. Nathan Lambert · X58

    Nathan Lambert predicts strong muse spark open adoption if reported scores hold up

    Nathan Lambert predicts adoption of muse spark open will surge if its performance roughly matches its reported scores, calling it the first US open-weight model with near-frontier agentic capabilities. He compares the shift with GLM 5.2 and Kimi K3 in China. In the quoted announcement, @alexandr_wang describes muse spark open as having 816B total params, 42B active, 1M-token context, and native multimodality, built for coding and agentic work. https://t.co/9elY7xigU5

  24. Clément Delangue · X64

    Meta announces Muse Spark Open weights release today

    Clément Delangue reacts with “Meta is back!” and links to https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B. In the quoted post, @finkd says Muse Spark Open weights are releasing today and that it runs great on new Mac Studios thanks to work with @johnternus and Apple. https://twitter.com/finkd/status/2110778025629347999

  25. Ollama · X79

    Meta releases Muse Spark Open, with Ollama availability coming shortly

    Meta announced Muse Spark Open, calling it the most capable US open-weight model to date and describing it as built for coding and agentic work. Meta lists 816B total / 42B active parameters, a 1M token context window, and native text, image, video, and audio support. Ollama welcomed the release and said the model will be available on Ollama shortly. https://twitter.com/AIatMeta/status/2110779754274292212

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  26. AI at Meta · X81

    Meta releases Muse Spark Open for coding and agentic work

    Today Meta is releasing Muse Spark Open, which it calls the most capable US open-weight model to date. Built for coding and agentic work, Meta says it excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Key model specs include 816B total / 42B active parameters, a 1M token context window, and native multimodality across text, image, video, and audio.

    The same story is shown in the picks as 《Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model》

  27. Hugging Face Blog87

    Meta releases Muse Spark Open, an open-weight multimodal mixture-of-experts model

    Meta’s Muse Spark Open is an open-weight mixture-of-experts model with approximately 816 billion parameters, around 42 billion active per token, and a context window of up to one million tokens. Trained for agentic coding, it accepts text, images, audio, and video and generates text. Hugging Face provides inference and deployment recipes, reports its own quantization tests, and demonstrates attention-layer LoRA fine-tuning with TRL while keeping the experts frozen.

    Why it matters: The deployment recipes clarify how sparse expert activation reduces per-token computation while retaining substantial memory requirements, helping developers assess hardware needs across checkpoint formats and serving frameworks.

  28. The Verge · AI70

    Friends don’t let friends feed their data to AI agents

    Janus Rose examines how Meta’s Muse can collect sensitive information about users and their contacts, raising consent concerns for people who never installed the assistant. Privacy experts argue that permission interfaces obscure the scope of data sharing, while Meta says access is opt-in. The article also explains how uploading messages after decryption can undermine the privacy protections encrypted communications are intended to provide.

10/15Thu
  2. The Verge · AI67

    Celebrity AI deepfakes spread on Instagram amid gaps in likeness protections

    The Verge reports that AI-generated celebrity images and videos circulate widely on Instagram, sometimes misleading fans, gossip outlets, and Google’s AI overviews. A fake image of Mia Goth drew nearly 500,000 likes before Instagram removed the account for impersonation. Meta exempts still images from mandatory AI labeling, while YouTube offers likeness detection and says it removed over 95 percent of videos reported for takedown through that program in the first half of 2026.

  7. AI at Meta · X42

    Meta Shares 10 Health Research Manuscripts Produced with AI Assistance

    Meta says it is exploring how AI can accelerate health science research. Medical experts used a human-led research scaffold powered by Muse Spark 1.3 and Muse Wonder, with access to 5M retrospective de-identified electronic health records and publicly available data, to conduct original research and speed hypothesis generation, code execution, and manuscript drafting while retaining authority over scientific decisions. The 10 manuscripts span cardiology, oncology, infectious disease, emergency medicine, and more.