AI briefing, Friday, October 16
Wed Oct 14, about 8:00 AM PT, through Fri Oct 16, about 8:00 AM PT
The weekly lesson is AI lessons.
Anthropic reported a $16.8 billion quarter on its IPO path, eight states sued OpenAI over ChatGPT safety, and METR got employee-level access inside Anthropic.
Anthropic tells investors Q3 revenue hit $16.8 billion. Revenue rose from about $11.6B in Q2, Anthropic said it was profitable on an adjusted basis, and it is cash-flow positive at about $1.70 of revenue per $1 of compute. IPO talk points to mid-November. The figures are company-reported to investors, not audited filings. It is the first hard sign a frontier lab can look profitable on an adjusted basis before going public, and a reference point for OpenAI and the AI-capex debate. CNBC
Eight states sue OpenAI over ChatGPT safety. Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho, and Montana sued under consumer-protection laws, alleging ChatGPT harmed kids and that OpenAI misled the public on safety. They seek penalties, stronger safeguards, and in some cases deletion of minors’ data. Without a federal AI law, state attorneys general are becoming the de facto regulators of consumer chatbots. CNBC
Anthropic embeds six METR researchers with employee-level access. The researchers get company laptops, internal tools, and office space, and Anthropic gave up a publish veto, allowing only narrow redactions that METR can characterize publicly. Anthropic runs a three-tier evaluator system with METR in the top tier. It makes good on Amodei’s September pitch to embed evaluators, after weeks of unintended-action incidents. TechCrunch
Meta releases Muse Spark Open. Muse Spark Open is an 816B total, 42B active multimodal model with 1M context, built for coding and agents. It runs on two M5 Ultra Mac Studios via MLX and is also offered by several hosted inference providers. It follows the closed Wonder release, and the Muse Model License has commercial limits. It gives the US an open-weight frontier model that can run on a desktop. Meta
Modal crosses $1 billion ARR and raises a $750 million Series D. The Accel-led round values Modal at $15.75B post-money. Sandboxes alone are about $300M ARR, with about 3B sandboxes spun up. Agent isolation and ephemeral compute are core infrastructure, not a side feature. Modal
Claude Platform ships OpenTelemetry traces in public beta. Traces from Managed Agents, the Messages API, and SDKs now flow into any OTLP tool, including Grafana, Honeycomb, Langfuse, LangSmith, and Datadog, following GenAI semantic conventions. Teams can debug production agents and build evals from real traffic without custom instrumentation. Anthropic
Microsoft finishes pre-training MAI-Base-2. MAI-Base-2 is a 2.8T total, 80B active MoE; Microsoft claims it beat every open-weight model on held-out tests and used far less pretraining compute than DeepSeek-V4-Pro-Base. Post-training is underway, and the results are from private company tests, not public leaderboards. Microsoft is now pre-training frontier-scale base models in-house. Microsoft AI
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