Meta Releases Muse Wonder Models With Benchmark Gains and Muse Code Usage Accounting Bug

1. 12:16
   Latent Space

   Goodfire’s Nick Cammarata argues agentic analysis resolves familiar examples of neural polysemanticity

   Latent Space highlights Goodfire’s Nick Cammarata’s working theory that neural networks are already largely interpretable, with further agentic analysis resolving many familiar examples of polysemanticity and superposition. Cammarata argues that most neurons are legible, contrasting with roughly 2% in his 2023 OpenAI effort. The roundup also reports objections concerning weak activations, neuron simulation and neglected non-maximal activations, alongside a reminder that the paper itself is not yet available.

1. 18:08
   Latent Space

   Modal raises $750M Series D at $15.75B valuation, crosses $1B annualized run rate

   Modal crossed $1B in annualized run rate and raised a $750M Series D led by Accel at a $15.75B valuation, according to the company announcement cited by Latent Space. Usage grew more than 15x year over year. Modal’s Erik says Sandboxes alone reached a $300M run rate, with close to 3 billion sandboxes launched and support for a million concurrent sandboxes across uses including background agents and reinforcement learning.

2. 15:22
   量子位

   How Antai MBA Is Training Future Business Leaders for the AI Era

   Shanghai Jiao Tong University Antai College of Economics and Management is reshaping its MBA education to prepare business leaders who can combine technical understanding with business judgment and responsibility. Its “Five Links” talent framework connects AI, science and technology innovation, industry, global perspectives, and Shanghai Jiao Tong University resources. The college also plans to co-create 1,000 AI projects with companies over the next decade and has announced curriculum and training changes for the 2027 cohort.

3. 12:11
   Alexandr Wang · X

   Alexandr Wang Reviews Muse Wonder Full

   @davis7’s review says Muse Wonder Full has good writing and “voice,” capabilities on par with 6.1 sol for non-specialized tasks, and orchestration. It lists the naming scheme and price and usage limits as cons, and says the full model is available in Muse Code through a subscription, with no API. Alexandr Wang called it a thoughtful review, said there is lots to improve, and was glad people enjoy using the model. https://twitter.com/davis7/status/2110533786895356118

4. 04:35
   Latent Space

   Ian Quigley Explains Leash Bio’s Data Methods and Lab-in-the-Loop Agent Research

   Brandon Anderson interviews Leash Bio’s Ian Quigley about generating reproducible protein–small molecule interaction data using DNA Encoded Libraries and detecting misleading signals in experiments and models. They discuss a Kaggle competition with about 4B measurements where nobody beat chance on an unseen chemical library, and an agent sandbox searching 6.5M molecules on a budget of 100. Anderson reports that the sandbox has matured into Minos, with a preprint, blog, and open dataset being released today.

5. 00:14
   Google ResearchPicks

   Research@ 2026: 10 Ways Google Research Is Amplifying Human Ingenuity

   Google Research presented 10 updates at Research@ spanning geospatial intelligence, scientific agents, document verification, edge hardware, numerical models, healthcare, disaster forecasting, education, and collaborative prototyping. It is expanding early access to experimental Google Earth AI capabilities and opening Deep Review to the general public after an early version reviewed over 16,000 research publications. Other updates include an upcoming TimesFM and TabFM integration into Gemini for business and an AMIE study involving 98 patients, in which clinicians reported that AI summaries helped them prepare in 75% of cases.

1. 21:55
   The Verge · AI

   Epic’s new games launcher is ‘vibe coded’ and adds Linux support

   Epic Games announced a preview of its redesigned Epic Games Launcher for Windows, Mac, and Linux beginning today, describing it as faster and more responsive. Epic executive Martin Keely told The Verge that agents wrote and reviewed all the code under the development team’s supervision, with AI helping replicate existing functionality and support Linux. The old launcher remains available, and Epic has no specific timeline for requiring migration.

2. 18:41
   量子位

   Shanghai’s Global Developer Pioneer Summit Highlights 10 Embodied AI Events

   The 2026 Global Developer Pioneer Summit and International Embodied AI Skills Competition will run October 23–25 in Shanghai’s Pudong district, featuring 10 highlights focused on real-world robot training and applications. The program includes 9 competition tracks with 23 events, more than 1,000 competing teams, and over 100 open source communities. Organizers say the event will showcase robot systems, components, industry models, and application scenarios.

3. 14:45
   量子位

   STEPX launches Neo agent phone with Step AOS 1.0 and Amoo

   STEPX unveiled its STEPX Neo early-access edition on October 13, combining Step AOS 1.0, personal agent Amoo, and phone hardware for 3,999 yuan. The phone pairs local execution with cloud-based task planning, while Step Studio lets developers create apps, agents, and Skills using natural language. Buyers receive 12 months of 10 billion tokens per month; the article lists presales for October 13 at 21:00 and general sales for October 16 at 10:13.

4. 04:34
   宝玉 · XPicks

   Google Play adds private installation of AI Studio apps without developer registration

   Google announced that users can wirelessly install Android apps created in Google AI Studio on their own devices through Google Play using a regular Google account, without developer registration. The feature begins rolling out today to users 18 and older in selected markets, including the US; apps remain private, with sharing for close friends and family planned over the coming months. Baoyu also reports updates to Ask Play app comparisons, Play in Gemini, and game discovery through Game Finder and Gamer DNA.

1. 22:37
   The Decoder

   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. 17:37
   Latent SpacePicks

   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.

3. 17:00
   MIT Technology Review · AIPicks

   AI labs are buying data from dead startups to train their models

   AI labs are buying defunct startups’ code and workplace archives through companies such as SimpleClosure and Sunset to train models and build environments where AI agents practice tasks. SimpleClosure’s Asset Hub has handled over 150 deals, while Google bought Spirit Airlines’ decades of data for $10 million this past August. The market raises questions about employee privacy, consent, and pricing, and no company has released tests comparing training results from real-world archives with alternatives.

4. 15:10
   Alexandr Wang · X

   art cannot be created or destroyed, only remixed (pure code recreation of *the video* using muse wonder)

   art cannot be created or destroyed, only remixed (pure code recreation of *the video* using muse wonder)

5. 14:21
   雷锋网

   Meta launches Muse Wonder and Wonder Full AI models for personal superintelligence

   Meta released Muse Wonder and the more capable Wonder Full AI model, which the company says performed near Fable 5.1, Opus 5.5 and GPT-6 Astra on several capability tests, and slightly better on some agent and knowledge-work benchmarks. Meta highlighted Active Memory, which retains relevant background across conversations, and Active Focus, which keeps working toward complex goals and adapts when new information or obstacles arise.

6. 13:00
   NVIDIA Blog

   NVIDIA Announces Planned Investments in Four French Startups

   NVIDIA announced planned investments in Doctolib, Entalpic, Genesis AI and Pigment, which are working across healthcare, materials discovery, physical AI and business planning. The announcement adds to NVIDIA’s previous investments in French technology companies Alice&Bob, Gradium and Scintil Photonics. Across Europe, NVIDIA has committed nearly $10 billion to the technology ecosystem.

7. 07:58
   Simon Willison

   Simon Willison updates llm-meta-ai 0.2 for Meta AI’s Muse Wonder

   Simon Willison updated his llm-meta-ai plugin to support Meta AI’s newly released Muse Wonder models. He shares pelican drawings across six reasoning levels, from minimal to max, and compares them with Muse 1.3 and Muse 1.2, reporting material drawing improvements between releases. He suggests these may be Meta’s first Fable class models and reports that Artificial Analysis scores Muse Wonder (Max) as equivalent to GPT-6.1 Sol.

8. 07:38
   Alexandr Wang · X

   Alexandr Wang Says They’re Fixing Issues as Quickly as They Find Them

   we are fixing issues as fast as we can see them! there's definitely still issues we're trying to iron out, but thank you to everyone for giving us a bit of time to work through all the kinks 🫶

9. 03:52
   Alexandr Wang · X

   Alexandr Wang Says Muse Wonder Focused on Real-World Tasks for Real People

   with muse wonder, we aimed to build a model that is useful for real world tasks for real people, informed by our product adoption and how people use muse. we focused on things that might not look as glamorous on twitter (for example, not 3d demo games), which in retrospect we probably could have done more of.

10. 03:01
    Alexandr Wang · X

    Alexandr Wang teases a live annual performance review in a video about Muse Wonder

    muse wonder over a cheeky pint at some point in this video i get my annual performance review live on camera -- a truly tender moment 🥹

11. 02:48
    The DecoderPicks

    Meta releases Muse Wonder models with gains in coding and agent benchmarks

    Meta released Muse Wonder and Muse Wonder Full, scoring 52 and 56 on the Artificial Analysis Intelligence Index v4.3, versus 48 for Muse Spark 1.3. Both support a one-million-token context window and text, image, video, and audio inputs, with stronger coding and agent results but weaker factual knowledge than leading competitors. Muse Wonder is available through Meta's API and Muse Code at higher prices than its predecessor; Muse Wonder Full is currently limited to Muse Code users.

12. 02:34
    Alexandr Wang · X

    we are working to resolve a bug in how muse wonder and muse wonder full are counting against usage limits for Muse Code subscribers this is not intended behavior -- we will update everyone once we have fixed it and issue resets

    we are working to resolve a bug in how muse wonder and muse wonder full are counting against usage limits for Muse Code subscribers this is not intended behavior -- we will update everyone once we have fixed it and issue resets

13. 02:24
    Alexandr Wang · X

    Alexandr Wang Posts “MUSE WONDER”

    🍉 MUSE WONDER 🍉 @hdubugras says Alex and Meta are on a roll, and that the model has replaced Astra/Opus in a variety of their workflows. They say it handles day-to-day tasks efficiently and quickly, and offer congratulations. Alexandr Wang’s reaction: “🍉 MUSE WONDER 🍉”

14. 02:15
    Aravind Srinivas · X

    Aravind Srinivas Congratulates Meta on Training a Frontier-Grade Model

    Congrats to Meta for training a frontier-grade model! Watermelon compares favorably to Fable 5.1 on WANDR evals. https://twitter.com/alexandr_wang/status/2109689491300794551

15. 02:12
    Alexandr Wang · X

    Alexandr Wang posts “Muse Wonder”

    🍉 MUSE WONDER 🍉 @LexnLin says Muse Wonder is out and ranks second globally according to Artificial Analysis, scoring 56 compared with 58 for Opus 5.5. Alexandr Wang’s post reads: “🍉 MUSE WONDER 🍉”

16. 02:06
    Alexandr Wang · X

    Alexandr Wang Says Muse Wonder Is State of the Art for Personal Agents

    Alexandr Wang says Muse Wonder is state of the art for personal agents. He says Meta developed the Personal Superintelligence Index (PSI) internally to measure what makes a model useful for personal agents, beyond external benchmarks, and that the model performs well in areas including Active Memory and Active Focus.

17. 01:56
    TechCrunch · AIPicks

    Meta releases frontier models Muse Wonder and Muse Wonder Full

    Meta’s Superintelligence Lab released Muse Wonder and Muse Wonder Full on Monday, larger models described as more capable than Muse Spark. Meta reports benchmark scores comparable to Fable 5.1 and GPT-6 Astra and emphasizes information retention through “active memory.” Wonder costs $4.00 per million input tokens and $20.00 per million output tokens through the Meta Model API; Wonder Full is available only to Muse Code subscribers. Both models will power the Muse agent.

18. 01:53
    Alexandr Wang · XPicks

    Meta releases Muse Wonder and Muse Wonder Full with higher benchmark scores

    Meta has released Muse Wonder and Muse Wonder Full, according to Artificial Analysis in the post quoted by Alexandr Wang. At max reasoning effort, they score 52 and 56 on the Artificial Analysis Intelligence Index v4.3, compared with Muse Spark 1.3’s 48, following a release gap of 6 weeks. Muse Wonder is available through Meta’s first-party API and Muse Code, while Muse Wonder Full is limited to Muse Code users; both have 1M-token context windows.

19. 01:49
    宝玉 · XPicks

    Meta releases Muse Wonder for developers as consumer access remains unclear

    Baoyu reports that Meta released Muse Wonder and Muse Wonder Full on October 12, with Muse Wonder available today through Meta Model API and Muse Code, while Full is limited to Muse Code subscribers. Meta’s blog says consumer access is coming soon, whereas Zuckerberg says subscribers can use it today. The models support a 1 million token context window and multimodal input with text output. Meta reports strengths in sustained agentic work, coding, and memory, but its comparisons include internal benchmarks and competitor runs that may not be optimally configured.

20. 01:42
    Alexandr Wang · X

    Alexandr Wang Posts “MUSE WONDER”

    MUSE WONDER

21. 01:36
    Alexandr Wang · X

    MUSE WONDER 🍉 this model was developed to power personal agents. three highlights: - ACTIVE MEMORY: best memory across days/weeks/months - ACTIVE FOCUS: gets your tasks done - DOMAIN EXPERTISE: sota in finance & legal, strong in health

    MUSE WONDER 🍉 this model was developed to power personal agents. three highlights: - ACTIVE MEMORY: best memory across days/weeks/months - ACTIVE FOCUS: gets your tasks done - DOMAIN EXPERTISE: sota in finance & legal, strong in health

22. 01:29
    宝玉 · XPicks

    Meta launches Muse Wonder with developer access and conflicting consumer availability statements

    Meta released Muse Wonder and Muse Wonder Full on October 12, according to Baoyu’s account of the announcement. Developers can access Muse Wonder through Meta Model API or Muse Code, while Full is available to Muse Code subscribers; Meta’s blog and Zuckerberg’s X post differ on consumer availability. The models support a 1 million Token context window and multimodal input with text output, while Meta’s reported benchmarks show strengths in sustained agentic and coding tasks alongside weaker results elsewhere.

23. 01:25
    Artificial Analysis · XPicks

    Meta releases Muse Wonder and Muse Wonder Full with higher Artificial Analysis scores

    Meta has released Muse Wonder and Muse Wonder Full, which Artificial Analysis reports score 52 and 56 on its Intelligence Index v4.3 at max reasoning effort, versus 48 for Muse Spark 1.3 (max). Muse Wonder Full improves across all ten evaluations, with the largest gains in agentic evaluations. Muse Wonder is available through Meta’s first-party API and Muse Code at launch, while Muse Wonder Full is limited to Muse Code users; Muse Wonder costs $4.52 per Intelligence Index task.

24. 01:20
    Alexandr Wang · X

    Alexandr Wang Reacts to @charlieholtz’s Post About Wonder

    @charlieholtz says Meta is at the frontier and calls Wonder “really really good,” citing a security vulnerability it found, its design and visualizations, and features in its CLI. Alexandr Wang reacts: “what a wonder full world 🍉”

25. 01:16
    Nathan Lambert · X

    Meta introduces Muse Wonder frontier models for personal and professional agentic work

    Nathan Lambert writes, “Looks like Meta is back at the frontier 🫡” He quotes @finkd introducing Muse Wonder, Meta’s new family of frontier models, with claimed state-of-the-art performance for personal and professional agentic work.

26. 01:05
    Alexandr Wang · X

    MUSE WONDER 🍉 muse wonder is the best model in the world for personal agents and professional agents. we evaluated our model against the best models in the world across agentic and coding tasks, and we think you all will like it.

    MUSE WONDER 🍉 muse wonder is the best model in the world for personal agents and professional agents. we evaluated our model against the best models in the world across agentic and coding tasks, and we think you all will like it.

27. 01:02
    AI at Meta · XPicks

    Meta introduces Muse Wonder and Muse Wonder Full for agentic tasks

    Meta introduces Muse Wonder and Muse Wonder Full, describing them as its most capable models yet and frontier models built for personal and professional agentic tasks. Muse Wonder is available today via the Meta Model API and Muse Code. Muse Wonder Full is available today for Muse Code subscribers. Muse Wonder will also soon power experiences in Meta’s personal agent product, Muse, rolling out first to subscribers.

28. 01:01
    Alexandr Wang · X

    MUSE WONDER this is the culmination of over a year of research and infrastructure work in msl since we originally shipped muse spark in april, we have continued to scale our models across pre-training and RL, now reaching the frontier 🏆 see our model's improvements on the artificial analysis index:

    MUSE WONDER this is the culmination of over a year of research and infrastructure work in msl since we originally shipped muse spark in april, we have continued to scale our models across pre-training and RL, now reaching the frontier 🏆 see our model's improvements on the artificial analysis index:

29. 01:00
    The Verge · AI

    Meta launches Muse Wonder and Muse Wonder Full AI models

    Meta launched Muse Wonder and Muse Wonder Full, available to Muse Code subscribers starting today; Wonder is also accessible through the Meta Model API. Meta claims internal benchmark testing shows the models can rival OpenAI’s GPT-6 Astra and Anthropic’s Claude Opus 5.5 and Claude Fable 5.1. The company plans to power its Muse AI agent with Wonder, starting with subscribers, but has provided no timeline.

30. 00:55
    Alexandr Wang · X

    introducing muse wonder our new frontier model. state-of-the-art at personal agents and professional agents. our largest and most capable model yet—rivals the big bois

    introducing muse wonder our new frontier model. state-of-the-art at personal agents and professional agents. our largest and most capable model yet—rivals the big bois

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