Meta launches Muse Wonder and Muse Wonder Full, its most capable models for personal and professional agents

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Claude finds quantum circuit designs that beat the best published ones Ultramarine 1 Flash claims Fable-class knowledge work at $0.13 per task Kroll rates Anthropic double B plus, one notch below investment grade Claude Code team moves most code review to machines, doubling merged PRs while reverts fall over 40 percent Mercor's Benchmark Map finds AI tests cover little of the US work that takes up most hours Meta's new business terms let it scrape linked news sites to train AI, legal experts say Developer uses Claude Code to reverse engineer a scanner and a laptop MIPI camera driver from Windows USB traces Jev sacrifices one to save five, but twenty to save its own server Krea 3 image editing model enters open beta, claiming 4x speed over Nano Banana Pro Simons Foundation launches $15M AI effort for mathematicians, backed by Anthropic and OpenAI OpenAI's math proofs leave top mathematicians grieving, Steven Strogatz says Goodfire essay argues neural networks are already clean and 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3.8 Flash Next 125B on a single RTX 4090 at over 100 tokens/sec via 2-bit quant Meta's Muse tops the App Store on UX, not new agent capabilities OpenAI safety lead David Robinson quits over 'broken' culture as firm pauses training and shelves next model LeCun has "zero concerns" about AI extinction, calls Amodei "deluded" and effective altruism "super toxic"Ataraxos beats the best Stratego player 15-1, trained on 16 GPUs and a few thousand dollars Greg Kroah-Hartman: Mythos's 79 Linux kernel bugs came down to 10 real fixes and one hour of work Wisconsin grid approval threatens Oracle's 2027 AI datacenter deadline Black Forest Labs' FLUX 3 Image adds bounding-box layout control to text-to-image Supabase acquires Turso to build on-demand database infrastructure for AI agents Kevin Buzzard maps mathematicians' reaction to AI onto the five stages of grief arXiv caps submissions at two per month as AI-driven preprint flood hits 40,363 in September Historian uses Opus 5.5 to surface a 1615 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workloads Google announces Gemini 4 Argon, limited to Fairwind cyber defenders at $2/$10 per million tokens TLA+ author Hillel Wayne pushes back on the idea that formal verification will save AI-written code David Dayen asks why Sam Altman faces no consequences while OpenAI agents breached U.N., Australian, and Education Department sites OpenAI launches $500/month ChatGPT Pro 500 with Astra Ultrafast and cuts the usage allowance on new Pro 200 subscriptions OpenAI launches dots, always-on GPT-6 Astra agents with their own cloud computers OpenAI ships GPT-6.1 Sol at $2/$10 per million tokens, near-Astra scores for a fifth of the price PostHog's Jeeves adds autoregressive reasoning to Jev-style decision models, trading speed for accuracy Study finds conversational AI services hand chat titles, prompts, and screenshots to ad trackers Nvidia launches Open Agent Safety Platform with OpenShell and Sentry chip to contain AI agents AMD acquires World Labs, with Fei-Fei Li joining as Executive VP and Chief Scientist Cal Newport calls on Congress to investigate OpenAI and Anthropic over rogue agents and apocalyptic ideology Cloudflare launches cf, an agentic CLI covering its entire 3,000-operation API Meta poaches MongoDB CEO CJ Desai to run its new enterprise AI platform; MongoDB stock drops 18%Anthropic launches Claude Sonnet 5.5: 70.6% on Terminal-Bench 4.0, 30% faster, up to 30% cheaper per task

Meta launches Muse Wonder and Muse Wonder Full, its most capable models for personal and professional agents

Muse Wonder and Muse Wonder Full are Meta's most capable models, with state-of-the-art results on personal and professional agent tasks, memory, and coding, according to the company.
Muse Wonder is available now through the Meta Model API and Muse Code, while Muse Wonder Full is limited to Muse Code subscribers.
Both models were trained at Meta's gigawatt-scale Prometheus data center, and Muse Wonder brings together Active Memory and Active Focus to track what matters to the user.
Muse Wonder will soon power experiences in Muse, rolling out first to subscribers, and Meta plans to use it to build specialized models for Muse users.
The work started fourteen months ago with a ground-up overhaul of Meta's AI efforts, and the company says this release builds on its earlier Muse Spark scaling approach.

Hacker News opinions

Everyone laughed when Zuck bought Scale for billions and put Alex Wang in charge of Meta Superintelligence. Now that Muse is out, he looks like a good executioner, especially since they aren't betting on a brand new product space.

Every lab is benchmaxxing at this point, and I'd expect it. Training on common benchmark data is fine if the tasks are representative, since better scores should carry over to wider work.

There's an entire section in the linked post about measuring benchmaxxing, so at least they addressed it.

Meta is using 'superintelligence' the marketing way Facebook made it up a few years ago, not the way Bostrom defined it in 2014. Zuck has been using the term for Muse for a while.

Pricing jumped a lot for a Meta model. $4/$20 per million in/out puts it above Sol and on par with Opus, which is different from their usual discounted launches.

Any idea if they'll release the weights? Low chance, I'd say.

If this model isn't benchmaxxed, I fear it's over for Anthropic and OpenAI. Models become a commodity and the price gets driven to the ground.

I don't see Facebook changing whether frontier LLMs commoditize, even with hundreds of billions spent and better talent than most.

Models are a commodity, but Anthropic and OpenAI can still find other moats.

Acquihires are paying off. They started the big AI capex over a year ago with Scale AI, so it makes sense the spending is showing up now. Total AI spending is reportedly in the high $200 billion range, though most of it is probably datacenters.