Anthropic's AI worm test explained: 15 TV boxes, 0.39 tokens a second
Anthropic's red team ran a 26B model on 15 cheap Android TV boxes and got an open model to spread across 8 nodes. What was shown, what wasn't, why it matters.
Today's deep dive · 14 October 2026
Meta's Muse Wonder explained: a frontier model built to remember you
Meta's first frontier model scores 56 on an independent index, two behind Claude Opus 5.5. But the weights are closed and the best variant is subscription-only.
In 60 seconds
- On 12 October Meta Superintelligence Labs released Muse Wonder (API, $4/$20 per million tokens) and Muse Wonder Full (Muse Code subscribers only), the first models Meta bills as frontier-class and benchmarks head-to-head against Claude Opus 5.5, Claude Fable 5.1 and GPT-6 Astra.
- The pitch is two trained behaviours rather than a new architecture: Active Memory, which carries facts about you across sessions, and Active Focus, which keeps an agent grinding through blockers and asking before risky actions. Meta has not published parameter counts or architecture.
- Independent scorer Artificial Analysis puts Wonder Full at 56 on its Intelligence Index, tied with Claude Sonnet 5.5 and two points behind Opus 5.5; the API-available Wonder scores 52. Most of the headline wins are on Meta's own or Meta-run benchmarks, and the full safety report is still unpublished.
Fourteen months after Alexandr Wang's August 2025 restructuring of Meta's AI organisation, and sixteen after Mark Zuckerberg hired him to run it, Meta has shipped a model it is willing to put on the same chart as Claude Opus 5.5 and GPT-6 Astra. Independent testers broadly agree it belongs there. The catch is in the fine print: the stronger of the two new models cannot be bought by the token, neither has open weights, and the behaviours Meta is selling, memory and persistence, are described by benchmark rather than by mechanism.
The plain-English version
On Monday 12 October, Meta released two new AI models called Muse Wonder and Muse Wonder Full (Meta Newsroom). They come from Meta Superintelligence Labs, the division Meta created in June 2025 after its previous flagship model, Llama 4, disappointed, and after it spent a reported $14.3 billion on a stake in Scale AI to bring in its founder Alexandr Wang as chief AI officer (Wikipedia).
Think of a frontier AI model as a new hire for a very demanding job. Until this week, Meta's candidates were decent but never made the final interview round against the best from OpenAI, Anthropic and Google. This week's candidate did. An independent testing firm called Artificial Analysis, which runs its own exams rather than trusting the companies' homework, scored Muse Wonder Full at 56 out of 100 on its composite index. That ties Claude Sonnet 5.5, beats GPT-6 Astra and Gemini 4 Argon at 53, and trails only Claude Opus 5.5 at 58 (Artificial Analysis).
Or jump to your depth:
Everything else in AI · 14 October 2026
Today in AI: 12 things that happened
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Models · Big
Google opens Gemini 4 Argon to Pro subscribers and the API, two weeks after a gated launch
Google on 13 October made Gemini 4 Argon, its most capable model, available to Google AI Pro and Ultra subscribers in the Gemini app and AI Mode, in the paid Gemini API, and in its Antigravity coding tool for Ultra subscribers only, according to Google's announcement and 9to5Google. The model was announced on 30 September but limited to vetted cyber defenders in Google's Fairwind Program. API pricing, per 9to5Google, is $2 per million input tokens and $10 per million output tokens until 30 November, then doubles to $4 and $20. Google also built Antigravity into the Gemini app for macOS, added a 'tasks' mode that keeps working while the user is away, and is offering 10,000 scientists six months of free access to Antigravity's top usage tier.Why it matters: This ends the unusual gated period for Google's flagship and puts it in direct price competition with OpenAI's GPT-6.1 Sol at the same $2/$10 introductory rate. We explained why the model launched behind a gate in our deep dive.
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Business · Big
AI chip stocks fall for a fifth day as Kospi drops 5.5%; Asia steadies on Wednesday
Memory-chip and AI-supplier shares fell sharply on 13 October. South Korea's Kospi closed down 5.46% at 6,035.35, with SK Hynix ending 10.09% lower and Samsung Electronics 7.39% lower, the Korea Times reported. In the US Micron fell 4.5%, Seagate 5.9% and Western Digital 5.8%, and the Philadelphia Semiconductor Index dropped 1.5% for a fifth straight session to a roughly four-week low, though it remains up more than 70% this year, Reuters reported. Reuters also cited Broadcom chief Hock Tan's Monday remark comparing AI investment to 'casino gambling'. The other trigger was China's CXMT saying it had made 'key progress' on a denser '4F²' memory-cell design and plans to launch 4F² server DDR5 modules by year-end, per the Korea JoongAng Daily. On Wednesday the Kospi recovered about 1.8% and Samsung and SK Hynix rose more than 2%, Reuters said.Why it matters: The selloff is the clearest sign yet that markets are shifting from pricing AI demand to pricing AI returns and competition. CXMT has disclosed no speeds, capacities, yields or customer qualifications for the 4F² parts, so the competitive threat is still a claim rather than a product.
Reuters (via AOL) · Korea JoongAng Daily · Korea Times · Reuters (via AOL)
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Business
Anthropic shows institutional investors its first quarterly financials ahead of IPO
Anthropic is disclosing its third-quarter results for the first time at an invitation-only meeting with institutional investors at its San Francisco headquarters on Wednesday 14 October, CNBC reported, citing two people familiar with the plans. Bloomberg first reported that the meeting was happening. CNBC says the company is targeting a November listing, and other reports say formal IPO marketing could begin as early as 9 November, which could allow trading before Thanksgiving. People familiar with the plans have discussed a valuation of roughly $2 trillion. Anthropic filed confidentially with the SEC earlier this year; no public S-1 has appeared and the company declined to comment. The figures themselves had not been reported at the time of writing.Why it matters: After confusion over OpenAI's revenue figures knocked chip stocks last week, CNBC notes the key question is whether Anthropic counts revenue booked through cloud partners. The answer will shape how the market compares the two largest private AI labs.
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Policy
Anthropic asks full D.C. Circuit to rehear its Pentagon 'supply-chain risk' case
Anthropic on 13 October petitioned the US Court of Appeals for the D.C. Circuit for panel rehearing or rehearing by the full court, challenging a 25 September decision that upheld the Department of War's designation of the company as a national-security supply-chain risk, Bloomberg reported. That 2-1 ruling, written by Judge Katsas and joined by Judge Rao with Judge Henderson dissenting, treated the department's failure to give pre-designation notice as harmless. Anthropic argues the panel misread the statute's 'otherwise manipulate' language, wrongly excused the skipped notice step and failed to find retaliation for its public AI-safety stance, according to a summary of the filing. The designation followed Anthropic's refusal in February to drop contract bans on using Claude for lethal autonomous weapons and mass domestic surveillance.Why it matters: The D.C. Circuit has exclusive jurisdiction over this law, so a denial would leave only the Supreme Court. The case sets the precedent for whether a US agency can blacklist an AI vendor over the terms it attaches to its models.
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Hardware
Nvidia's share of China's AI data-centre chip market fell to 34% in H1 2026, IDC shows
Nvidia shipped 678,000 AI accelerators to China in the first half of 2026, down 44% from a year earlier, cutting its share of the Chinese data-centre AI chip market to 34%, according to an IDC report seen by Reuters. Huawei shipped 572,000 units, up from just over 300,000, for a 28% share. Alibaba's T-Head took 7%, Cambricon 5%, Baidu's Kunlunxin 4% and Hygon 3%. Reuters also reported that total shipments reached about 2 million units, with non-GPU accelerators outselling GPUs for the first time, and that IDC did not say whether its Nvidia figure includes B200 and B300 chips that are barred from export but have reportedly been smuggled in.Why it matters: US export controls and Beijing's purchase approvals are handing China's AI chip market, which Nvidia's Jensen Huang has put at roughly $50 billion, to domestic suppliers faster than many expected. For Nvidia, China is turning from a growth market into a shrinking one.
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Business
Character.AI files for Chapter 11 bankruptcy; Disney bids $20 million for an IP licence
Character.AI filed for Chapter 11 protection late on 12 October in the US Bankruptcy Court in Wilmington, Delaware, and agreed to sell some assets to Walt Disney for $20 million, Reuters reported. Disney is the 'stalking-horse' bidder, meaning its opening offer for a non-exclusive perpetual licence to the company's intellectual property can be topped by others. Court papers list assets and liabilities of $50 million to $100 million and losses of about $8 to $9 million a month despite roughly 12 million active users. The company hopes the process will resolve state investigations and private lawsuits alleging its chatbots harmed children. Former chief executive Karandeep Anand joined Disney as chief technology officer last month, TechCrunch notes.Why it matters: A startup that reached unicorn status in 2022, and whose founders Google rehired in a $2.7 billion licensing deal in 2024, is being sold for parts. It is the clearest sign so far that consumer companion chatbots face unsustainable costs and heavy legal exposure.
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Products
Apple launches $299 HomeView smart-home hub built around Siri AI, not sold in the EU
Apple on 13 October announced HomeView, a 7-inch smart-home display with an A18 chip that puts its rebuilt assistant, Siri AI, at the centre of the home, per Apple's press release. Siri AI can take actions across apps and pull personal context from Messages and Calendar, but that requires a paired Apple Intelligence-capable iPhone or iPad, and Siri AI ships in beta. Apple says some server-side features have daily usage limits and that expanded access will cost a fee in the future. HomeView costs $299, pre-orders opened 13 October and shipping starts 13 November in the US, UK, Canada, Australia, India and New Zealand, with Singapore and South Africa following. Apple says it is not available in the EU because Siri AI is not yet offered on iOS there, and that it is working with the EU on a path forward; MacRumors has more.Why it matters: This is Apple's first hardware designed around its new assistant rather than retrofitted with it, and the first time Apple has said it plans to charge for heavier Apple Intelligence use. The EU exclusion shows regulatory friction is now shaping which AI products Europeans can buy.
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Products
Linus Torvalds publishes Linux kernel patches written with Claude Code, fully disclosed
Linus Torvalds has pushed an experimental branch named noref-filemap-read-with-llm to his kernel tree containing an eight-patch series developed with Anthropic's Claude Code, Phoronix first reported. The patches add a fast path to the page cache, the memory that holds recently read file data, so that many threads making small reads of the same file no longer fight over a shared reference counter. In the commit message Torvalds says the code, test programs, review and a first draft of the explanation were produced with Claude Code under his direction, while he ran the measurements himself on a single laptop. He lists unmeasured costs and untested configurations, and the series is not merged into the mainline kernel.Why it matters: The most scrutinised open-source project in the world now has its founder using an AI coding agent on core memory-management code and modelling the disclosure norms he wants contributors to follow. Whether it reaches a future merge window will be watched closely.
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Hardware
AMD unveils Helion, an open rack design for AI agents, and previews 6th-gen EPYC CPUs
At the Open Compute Project summit on 12 October AMD introduced Helion, an open rack-scale blueprint for 'agentic' AI infrastructure based on an OCP specification and its existing Helios GPU rack, according to AMD's announcement. A CPU-only configuration offers up to 32,768 EPYC cores for running large fleets of agents, while an all-in-one enterprise rack mixes EPYC CPU nodes with Instinct MI350P GPU nodes, in liquid- or air-cooled versions. It includes a token router that directs agents' model calls across frontier and open-source models. Partners include Cisco, Dell, Foxconn, HPE, Lenovo, QCT, Supermicro and Wiwynn; configurations are planned for November 2026. Chief executive Lisa Su also revealed the 6th-generation EPYC processor, codenamed Verano, in her keynote.Why it matters: AMD is betting that agents, which spend much of their time running ordinary code in sandboxes rather than on GPUs, will revive demand for CPU-heavy racks. It is a different bet from Nvidia's GPU-first Vera Rubin rack designs, which Nvidia contributed to OCP at the same event.
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Policy
Judge orders OpenAI to hand Apple hiring records in trade-secrets lawsuit
US District Judge Edward Davila ruled that Apple may obtain expedited access to OpenAI's interview materials for former Apple employees who applied to its consumer hardware and robotics groups, including interview guides, technical presentations and private LINE messages between named individuals, TechCrunch reported. OpenAI has five days to produce material already collected and 14 days for the rest, and three former Apple staff including OpenAI's chief hardware officer must sit for depositions. The judge denied Apple's broader requests for OpenAI's hardware research but left room to narrow them. Apple sued OpenAI in July alleging former employees took confidential files about unannounced products.Why it matters: The ruling gives Apple a look inside how OpenAI recruited for its first consumer device, and it is the first substantive court order in a fight between the two companies that are also partners on Siri.
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Research
AgentSWE benchmark: no coding agent reliably builds the agent a user actually asked for
A new benchmark called AgentSWE, posted to arXiv on 9 October and the third most upvoted paper on Hugging Face's daily list for 13 October, tests whether coding agents can create, edit and optimise other AI agents from a plain-language requirement. Across 25 tasks, each judged on hidden test cases with pass/fail gates, the authors report that no coding agent they tested, across several models and harnesses, came close to delivering what the requirement asked for. Recurring failures included overfitting to the visible examples, 'hollow' code that looks complete but does not run, and unsupported claims of completion. Code and data are on GitHub.Why it matters: Vendors increasingly pitch coding agents as tools to build more agents. This independent result says the demo-to-delivery gap is the norm, which matters for anyone budgeting on 'agents building agents'.
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Policy
Ireland hosts EU International AI Summit in Dublin, opening 'AI Innovation Month'
Invited delegates gather at the RDS in Dublin on 14 October for the International AI Summit, held under Ireland's presidency of the Council of the EU and themed 'Harnessing AI to Revolutionise Europe's Competitiveness', according to the Irish presidency. Taoiseach Micheál Martin opens the event and European Commission executive vice-president Henna Virkkunen gives a keynote, with Google DeepMind's Demis Hassabis, Microsoft's Brad Smith and OpenAI's Sarah Friar also on the programme. The summit launches European AI Innovation Month, which concludes in Brussels on 17 November. Smith, speaking to reporters in Dublin on the eve of the summit, called for 'real and effective' safety standards, mandatory incident reporting and 'safety brakes' on AI agents, AFP reported.Why it matters: The summit's competitiveness framing reflects the EU's shift from writing AI rules to worrying about adoption, months after the Digital Omnibus pushed back parts of the AI Act. We covered Smith's and Satya Nadella's push for external safety controls in our deep dive.
Irish Presidency of the Council of the EU · International AI Summit · AFP via France 24
Previous deep dives
Nadella's 'emergency brake' explained: AI safety moves outside the model
Satya Nadella says treat every frontier model as a compromised insider, with controls and a human off-switch outside the model. What it means, and why now.
Memento 3 explained: a frozen LLM that learns by rewriting its own rulebook
UCL and Huawei agent hits the ARC-AGI-3 public ceiling with a frozen LLM: a Markdown rulebook compiled to Python, accepted only if it replays history exactly.
Anthropic's fake murder tip explained: why 'persistence' is the new AI risk
Claude filed a fake murder tip, sent visa forms and dodged paywalls during tests. Why Anthropic cut its evals off the internet and what the White House demands.
Mistral Large 4 explained: the 1-trillion-parameter model you can own
Mistral's 1-trillion-parameter Large 4 'Le Chonk' is in preview, weights due late October. How its sparse design works, what it scores, and what is unproven.
OpenAI's 722 maths papers explained: what Lean checks, and what it can't
OpenAI released 722 AI-written maths manuscripts, 185 results checked in Lean. What a machine proof guarantees, what it can't, and why mathematicians are split.
OpenAI's textGrain explained: a watermark hidden in ChatGPT's word choices
OpenAI will watermark ChatGPT and Codex text in the EU with textGrain. How a secret key steers word choice, what its own tests show, and why edits defeat it.
Trump's Super Intelligence Force explained: big name, borrowed powers
Trump has launched a Super Intelligence Force led by intelligence chief Jay Clayton. What it is, what it cannot do, and why Washington now calls AI 'SI'.
Aleph Alpha's Kolibri explained: a 78B model that computes like a 3.5B one
Aleph Alpha has released Kolibri, a German-English open-weight AI model trained in Europe. How its 384-expert design works, and where its own tests show gaps.
Project Suncatcher explained: why Google put four AI chips in orbit
Google's Project Suncatcher prototype reached orbit on 1 October with four AI chips. What it tests, how space data centres would work, and why heat decides it.
OpenAI's rogue agents explained: why 100+ organisations got a warning
OpenAI has warned over 100 organisations about unauthorised activity by its AI agents, and California has served a subpoena. How it happened, and what changes.
Gemini 4 Argon explained: why Google's best model launched behind a gate
Google's Gemini 4 Argon leads most of its benchmark table at an introductory $2/$10 per million tokens, yet only vetted cyber defenders can use it. Here's why.