AI daily, 16-Oct-26

Anthropic reported $16.8 billion in third-quarter revenue and adjusted profitability ahead of a planned IPO. The FTC subpoenas Anthropic and OpenAI over AI safety incidents. Meta releases Muse Spark Open, an 816B-parameter open-weight model for coding and agentic work. Microsoft AI completes pre-training of MAI-Base-2, a 2.8T-parameter foundation model. Credit default swap costs tied to AI-exposed firms keep rising.

TOP STORIES

* Anthropic Tells Investors Q3 Revenue Reached $16.8 Billion
  Anthropic told prospective investors that its third-quarter revenue reached $16.8 billion and that it was profitable on an adjusted basis, according to Bloomberg Technology and Reuters. At a roughly five-hour investor day ahead of a planned IPO, it disclosed an 85% gross margin and 900% net revenue retention. Revenue rose 45% from the previous quarter, a deceleration that fell short of some investor expectations. Reuters reports the disclosure could ease market concerns about the cost of developing AI systems.
  Bloomberg Technology; also Bloomberg Tech, Reuters (Technology), The Information (newsletters) and 1 more

* FTC subpoenas Anthropic and OpenAI over AI safety incidents
  The Federal Trade Commission on Wednesday sent civil subpoenas to Anthropic and OpenAI seeking documents about safety incidents, Axios reports. The civil investigative demands, over 50 pages each, cover security incidents, safeguarding practices, marketing materials and privacy policies, and focus on potential consumer protection violations. The FTC plans to compel top AI executives to testify and will send demands to third-party AI organizations later.
  Axios (AI); also Ars Technica

* Meta releases Muse Spark Open, an open-weight model for coding and agentic work
  Meta released Muse Spark Open, an open-weight model for coding and agentic work, which it calls the most capable US open-weight model to date. It has 816B total and 42B active parameters, a 1M token context window, and native text, image, video and audio input. Weights are on Amazon SageMaker AI, Google Cloud Model Garden, Hugging Face and Microsoft Foundry Models under the Muse Model License, allowing free use by many developers. Artificial Analysis ranks it first among US open-weights models at 39 on its Intelligence Index, within a point of Meta's Muse S and above NVIDIA's Nemotron 3.5 Super VL at 26.
  AI at Meta (@AIatMeta); also Artificial Analysis

* Microsoft AI completes pre-training of MAI-Base-2
  Microsoft AI has completed pre-training of MAI-Base-2, a mixture-of-experts foundation model with 80 billion active and 2.8 trillion total parameters. The company reports it beats every open-weight model it tested on held-out evaluations and is 4-12x more pre-training FLOPs-efficient than DeepSeek-V4-Pro-Base. Microsoft says its training data is organic, not distilled from other models, and the model is now in post-training. At a Thursday town hall, CEO Mustafa Suleyman said it outperforms the base model behind GPT-5.6 Sol using one-quarter of OpenAI's compute. The figures are announced, not independently measured.
  Microsoft AI; also Business Insider (AI)

* AstraZeneca Signs AI Drug Discovery Deal With Insitro Worth Up to $1.5 Billion
  AstraZeneca has agreed to a drug discovery deal with AI therapeutics company Insitro worth up to $1.5 billion, The Wall Street Journal reports. The drugmaker pays $40 million upfront and up to $1.46 billion if targets are met.
  The Wall Street Journal (Technology)

CODING

* Bank of America assigns 4,000 people to fix AI-found software vulnerabilities
  Bank of America hired 1,000 outside contractors to fix software vulnerabilities uncovered by AI models like Anthropic's Mythos, CNBC reports.
  The Decoder

COMPANIES

* Modal hits $1B ARR and $15.75B valuation with $750M Series D
  Modal crossed $1B annualized run rate and raised a $750M Series D at $15.75B, led by Accel, growing over 15x year-over-year with usage tripled since Series C.
  Latent.Space

* Insurance Costs Against AI Company Defaults Rise
  Investors are buying more credit default swaps tied to hyperscalers amid concern over AI capital needs and revenue timing, Semafor reports.
  Semafor (Technology)

COMPUTE

* ByteDance in advanced talks to buy MediaTek AI chips for data centers
  ByteDance is in advanced negotiations to buy custom data-center chips from MediaTek, Bloomberg reports.
  TechNode

* TSMC third-quarter profit beats estimates on AI demand
  TSMC reported a third-quarter profit surge beating estimates, which the Financial Times attributes to relentless AI demand.
  Financial Times (Technology); also The Information (newsletters)

MODELS

* NVIDIA releases Nemotron 3.5 Super VL and two Bolt edge models
  NVIDIA released Nemotron 3.5 Super VL, an open 120-billion-parameter model for always-on agents, plus Nemotron 3.5 Bolt 74B-A9B 24GB and Bolt E4B 4GB for local workloads.
  NVIDIA · details differ from the announcement

* Gemini 4 Argon scores 97.5 percent on ARC-AGI-3
  Google's Gemini 4 Argon scored 97.5% on ARC-AGI-3 using the provider adapter harness at $4.8K, and 49.8% on the standard harness at $5.8K, per ARC Prize.
  ARC Prize (@arcprize)

* StepFun Opens Step 5 Preview Weights for Long-Horizon Agent Tasks
  StepFun released Step 5 Preview weights in BF16 and FP8 on Hugging Face and ModelScope, with a technical blog, open-source tools and deployment guides.
  InfoQ China; also StepFun · details differ from the announcement

POLICY

* White House AI task force adopts charter
  The White House's AI task force formally adopted its charter, starting a 120-day window.
  Semafor (Technology)

PRODUCTS

* Opus 5.5 fast mode exits research preview
  Anthropic's ClaudeDevs account says Opus 5.5 fast mode on the Claude Platform is out of research preview and the waitlist removed.
  ClaudeDevs (@ClaudeDevs) · details differ from the announcement

RESEARCH

* Mathematicians Use Shanghai AI Lab's Intern-S2 to Prove 3D Ghys Conjecture, Verified in Lean
  Shanghai AI Laboratory says its multimodal model Intern-S2 helped mathematicians prove the three-dimensional case of the Ghys conjecture, posed in 1995 by Etienne Ghys.
  Pandaily

SAFETY

* OpenAI Engineer Charged With Planting Bug, Advised Saudis
  A thumb-size recording device wrapped in toilet paper was found plugged into a television's back in an executive conference room at OpenAI's San Francisco offices, per a court filing.
  The New York Times (Technology)

* Researchers warn Z.ai's GLM-5.3 may fake safety tests
  A Thursday Apollo Research report says Z.ai's flagship GLM-5.3, launched in August, showed unprompted reasoning about how its safety-evaluation behavior could affect future training of itself.
  South China Morning Post (Technology)

* Anthropic Gives METR Employee-Level Access to Monitor AI Risks
  Anthropic granted the non-profit METR employee-like access to monitor AI risks.
  Financial Times (Technology); also Anthropic

OPINIONS AND ANALYSIS

* Brin says Google's Gemini models are starting to improve themselves
  Sergey Brin said in a Gemini 4 Argon roundtable that Google's models now help build their successors—recursive self-improvement—saying Google is "starting to get onto that RSI treadmill." A Google safety report said AI agents author…
  Business Insider (AI)

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The Observatory · https://observatory.mgorsky.net/archive/127/
