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Agentic AI Foundation Adds Four Projects, Hosted Projects Reach 10 in First Year

The Agentic AI Foundation announced on October 22, 2026 the addition of four hosted projects: Agent Skills contributed by Anthropic, Open Responses contributed by OpenAI, OpenEnv contributed by Hugging Face, and OpenSandbox contributed by Alibaba, bringing the total number of hosted projects from 3 at its founding in December 2025 to 10. The four projects correspond to four layers: agents acquiring skills, applications invoking models across vendors, agent training and evaluation, and secure agent operation. Agent Skills is open-sourced under Apache 2.0 and CC BY 4.0, already supported by more than 70 agent platforms, with over 1 million skills published and nearly 280 million installs; Open Responses defines shared schemas and streaming events based on the OpenAI Responses API, with implementations already provided by Databricks Model Serving and Vercel AI Gateway.

Warp Sciences Raises $215 Million to Build Chemistry Labs with AI and Robots

Warp Sciences has emerged from stealth with $215 million in funding led by Lightspeed, with participation from IVP, Mayfield, Lux, Premji Invest, Menlo Ventures and others, to build a U.S.-based chemistry contract research organization (CRO) that combines chemists, AI and robots. The company is led by former OpenAI Chief Product Officer Kevin Weil and enters through analog synthesis in the lead compound optimization stage, charging per delivered compound and not charging if nothing is produced, and currently works with a small number of design partners. Its long-term vision is to feed experimental data (including failed experiments) back into model training, gradually increasing the degree of laboratory automation.

Legora CEO on $550M funding: advancing legal AI at an $8.8B valuation

Legal AI company Legora has completed a $550 million Series E funding round led by Atreides Management, reaching a valuation of $8.8 billion. CEO Max Junestrand said the company does not build its own general legal model, but instead routes tasks to the most suitable frontier models, performing post-training only in narrow scenarios. It currently has more than 2,400 customers and over $200 million in annual recurring revenue. The funds will be used to advance Legora aOS, an agent operating system for legal work, enabling agents to take on complete tasks such as due diligence and e-discovery.

China's Ministry of Commerce plans to include AI models in the export control catalog

China's Ministry of Commerce and Ministry of Science and Technology issued Announcement No. 48 of 2026 on October 16, proposing to add 40 items to the Catalogue of Technologies Prohibited or Restricted from Export in China, of which 14 are prohibited from export and 26 are restricted from export, and to implement pre-export registration for all newly added technologies effective immediately. The draft sets three thresholds for frontier models: ≥10^26 FLOP, ≥2T parameters, or reaching a globally leading level, and also covers AI chip design, memory chips, ten-thousand-card-level clusters, agents, AIGC detection tools, training data, and cyber offense and defense capabilities; scenarios such as open source, self-built overseas data centers, and overseas tape-out may use the report-and-export channel. The public comment period runs until November 15.

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Sam Altman Reportedly Presented Three AI Safety Endgame Options to Employees

The Information, citing people familiar with the matter, reported that OpenAI CEO Sam Altman last week internally proposed three AI safety paths: establishing a regulatory body modeled on the International Atomic Energy Agency (IAEA), a lab merger plan known as the Demis Plan, and a single-developer compute monopoly plan known as the Eliezer Plan. Altman also complained that there are too few speed-limit proposals for AI development, while noting that OpenAI cannot afford to fall behind in the competition, and plans to decide on an IPO path within a year. The United States currently relies on voluntary pre-review of new models, and in June imposed export controls on Anthropic on the grounds that the Fable model posed a jailbreak risk.

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Daytona raises $60M Series B at a $1B valuation

Daytona, which provides cloud infrastructure for AI agents, has raised a $60 million Series B at a $1 billion valuation, bringing its total funding to $91 million, with FirstMark leading the round. Its platform provides agents with isolated Linux, Windows, and macOS compute environments through a single API, supports pausing, resuming, and continuing exploration of tasks, and its customers include Anthropic, OpenAI, NVIDIA, Cursor, and Cognition. The company says its revenue run rate grew 25x from January to September, and the new funds will be used to expand its agent cloud platform, scale compute capacity, and hire in San Francisco, Croatia, and Singapore.

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