The FTC sent OpenAI and Anthropic 50-page demands for records on security incidents, safeguards, marketing and privacy, Axios reported. Meta's new business terms, effective October 30, let it scrape and train on publishers' websites. Investors at Anthropic's investor day discussed a $1.5 trillion IPO valuation, down from about $2 trillion. Character.ai filed for bankruptcy. Citizen Lab traced spyware sent to Al Jazeera devices through targeted ads. Accenture now funds $29 a month of Claude per employee, and Bank of America hired 1,000 contractors to patch flaws that AI models found. In the middle: the biggest open models now run on a desk.
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In the Wild
What's trending in AI right now, from the app charts to the community feeds. The full roundup is in In the Wild.
- One subscription now covers Grok, Cursor and X Premium. A post about the bundle drew more than 21,000 views on one of the AI Telegram channels we track. xAI's X Subscription puts Grok, Grok Bot, Cursor and X Premium on one plan, with one pool of Grok model usage shared between the Grok apps and Cursor. Existing subscribers can switch and get a prorated refund.
- Amazon's Bee has two new always-listening recorders. The Bee Frontier costs $74.99 and the Bee Eclipse, which clips to the back of a phone, costs $99.99. Both summarize your conversations for free with 14 days of memory. A Bee Pro plan is $11.99 a month.
- Bluesky users can now build small apps by describing them. Bluesky expanded its Attie app so anyone can make websites, quizzes, polls and games that live on the same network as their account. CEO Toni Schneider calls it "social vibe coding."
- A Korean AI character-chat app is climbing the US charts. zeta, from Seoul's Scatter Lab, moved up the US Entertainment chart this week. zeta lets users chat with AI characters for free or build their own in about a minute, and turns chat scenes into images.
- "10 day forecast" is trending on Google in the US. It lines up with a new Nature paper on longer-range forecasts. A machine learning bias-correction method doubled the 2 to 6 week forecast skill of ECMWF's AI Forecasting System and posted the best global forecasts in ECMWF's 2025 real-time competition.
Quick Hits
The Year Governments Got Serious
- The FTC is demanding OpenAI's and Anthropic's safety records. The FTC sent OpenAI and Anthropic separate 50-page civil investigative demands asking for records on security incidents, safeguards, marketing materials and privacy policies, Axios reported. A civil investigative demand works like a subpoena. The demands open an investigation. They do not say either company broke the law.
- Meta's new terms let it train AI on news publishers' websites. From October 30, business accounts on Facebook, Instagram and WhatsApp consent to Meta crawling the websites associated with them and using that content to train Meta products, according to three legal experts who reviewed the terms for Nieman Lab. Almost every news outlet has a Meta business account. The terms apply to any account that keeps using Meta's business tools.
The Lab Gladiator Era
- Anthropic's IPO investors are now discussing $1.5 trillion, down from about $2 trillion. Investors who attended Anthropic's investor day discussed a valuation of about $1.5 trillion for the November share sale after third-quarter revenue grew 45% to $16.8 billion, slower than in the second quarter, Reuters reported, citing people familiar with the matter. Anthropic has not named a valuation.
- Character.ai filed for bankruptcy. Character.ai filed for Chapter 11 in Delaware, saying the platform became "costly to develop and grow" and that litigation and regulatory costs left it unable to generate enough cash. Disney is the opening bidder, offering $20 million to license some of the company's intellectual property. 404 Media's reading of the filings is that the business was unsustainable even without the legal costs.
AI Supply Chain Under Siege
- Spyware was delivered to Al Jazeera devices through online ads. Citizen Lab concluded that 45 devices belonging to Al Jazeera were targeted with zero-click attacks delivered by ads in 2024 and 2025, WIRED reports. The ads came from Israeli-founded marketing firm Discover-Tech and carried spyware attributed to Candiru. Google has since blocked Discover-Tech from its ad platforms. The researchers say blocking ads is the main defense available to individuals.
- Cohere is buying AISLE, a startup whose AI finds software vulnerabilities. Cohere signed a letter of intent to acquire AISLE, whose systems found more than 500 previously unknown vulnerabilities assigned CVEs, including 18 of the 24 CVEs in curl's latest release. AISLE's CEO Ondrej Vlcek will run a new Cohere Cyber unit, and Jaya Baloo becomes Cohere's global chief information security officer.
The AI Capex Tax
- Accenture now pays only $29 a month per employee for Claude. An internal announcement seen by 404 Media says Accenture will centrally fund only $29 a month per person toward Claude usage, effective October 1. Some employees had been spending as much as $1,000 a month. Anyone above the cap must find a project budget to pay for the rest. Accenture advises its clients to invest heavily in AI.
- Bank of America hired 1,000 contractors to patch flaws that AI models exposed. CEO Brian Moynihan told CNBC the bank put on 1,000 contractors in the second quarter to patch software flaws exposed by models including Anthropic's Mythos, on top of 3,000 people already in that area. Software remediation and anti-money-laundering compliance cost "a couple hundred million plus" in the third quarter. He expects the cost to fall once the patching is done.
The Biggest Open Models Now Fit on a Desk
Two of the largest open-weight releases this week are built to run on hardware a company can own.
Meta released Muse Spark Open, an 816 billion parameter model with a 1 million token context window that is designed to run locally on Apple's computers, TechCrunch reports. It needs at least 1 terabyte of memory and runs best on a Mac Studio with the M5 Ultra chip, so this is a workstation setup. Meta tested it on coding fixes for a Mastodon client and on editing video in DaVinci Resolve.
Nvidia released Nemotron 3.5 Super VL, a 120 billion parameter open model that works across PDFs, charts, tables, images and webpages, alongside Bolt, a 24GB model aimed at local coding and research. Nvidia says companies can post-train Super VL on their own documents and policies and run it where their data rules require.
Why this matters this week: Accenture capped per-employee Claude spending because token bills grew faster than budgets. A model that runs on owned hardware turns that variable bill into a fixed hardware cost. The trade is capability. Both companies' benchmark claims are their own, and independent tests are still thin. Before moving work off a frontier API, run your own tasks on the open model and compare.
Key Takeaways
- Keep AI incident records you could hand to a regulator. The FTC's demands ask for security incidents, safeguards, marketing materials and privacy policies.
- Read the terms behind the business tools you use. Meta's October 30 terms tie consent to scraping to the simple act of keeping a business account.
- Budget for patching when AI scans find flaws. Bank of America needed 1,000 extra contractors to fix what AI models found.
- Measure AI spend per person before it gets capped for you. Accenture's $29 limit followed employees spending up to $1,000 a month.
Found First
Primary research AI Weekly published before the press covered it.
In the Labs
- RL gains in "no-think" mode are mostly hidden thinking. A KAUST-affiliated team trained Qwen3 models with RL in NO-THINK mode and found the gains come largely from reactivating the model's existing THINK-mode reasoning. Swapping one small activation subspace removes most of the gain. Teams buying shorter outputs with this recipe may not be getting a more efficient model. Read our page on the paper.
- Frontier models complete at most 55% of rule tasks when the rules sit in separate files. RuleTrek tested 11 frontier models on tax, procurement, security policy and other rules spread across a file workspace. End-to-end scores ranged from 27% to 55%. A model that finds the right rule often still fails to apply it. Read our page on the benchmark.
Worth Reading
- Proofpoint to Acquire Varonis in a $6.3 Billion Transaction: Varonis shareholders get $49.75 per share in cash, and the companies pitch the combined platform as protection for data that people and AI agents can access. The deal is expected to close in the first half of 2027.
- IBM study: eight in ten EMEA enterprises escalate AI incidents to the board or C-suite: In a survey of 3,221 executives in eight countries, 80% said an AI incident reached their board or C-suite in the past year, but only 40% changed their AI governance in response.
- Google says 400 publications now take part in its paid News AI pilot: Google pays participating publications for content used to build AI features, and new partners include Axios, CNN, the Financial Times and Forbes. Read it next to Meta's new terms.
- China's chip exports jumped 136% in value in September: Exports reached US$45 billion while unit volume rose just 1%, so higher prices from the AI-driven memory shortage did nearly all the work.
- TSMC confirms talks over Musk's Texas Terafab but insists on running it: CEO C.C. Wei said on the earnings call that the plant "has got to be run by TSMC," and that the talks have reached no firm conclusion.
Wait, What?
- A court ordered a killer resentenced because the victim's AI avatar was too moving. At a sentencing in Arizona, the victim's sister played an AI-generated video of her brother forgiving his killer, and the judge said "I loved that video" while handing down the maximum term. An Arizona appeals court ruled the AI video carried "undue emotional weight" and ordered the judge to reconsider the sentence. The manslaughter conviction stands.
Worth Watching
The videos AI practitioners are passing around right now — curated on AI TV.
| Black Hat USA 2026 | The 'Breaking' News: The OpenAI–Hugging Face Incident Black Hat |
This week's poll
Should regulators be able to see AI labs' internal safety incident records?
Last week, 228 of you voted:
Should AI labs be required to report when their models act outside the rules during testing?
**Should regulators be able to see AI labs' internal safety incident records?**
Until next time,
Alexis