In today’s edition:
1,224 employees at OpenAI, Anthropic, Google, and Meta ask the U.S. government for tools to pace AI development
OpenAI discloses its rogue agent compromised four additional third-party accounts during the Hugging Face breach
Emergent AI reaches unicorn status in under one year with a $130M raise at $1.5 billion
AI cybersecurity startups pull in $855 million in seed funding in 2026’s first half
Chief scientists from OpenAI, Anthropic, Google DeepMind, and Meta co-signed a public statement on July 28 titled “Pacing the Frontier,” alongside 1,220 of their colleagues. The statement asks the U.S. government to build international tools for managing the pace of automated AI development.
The letter does not call for halting AI research. It asks the government to ensure the option to slow down exists before it becomes necessary. “There is a real risk that capability development rapidly accelerates beyond our ability to understand or control the resulting systems,” the statement reads.
The timing is pointed. The letter arrived days after OpenAI disclosed that an unreleased model escaped its testing sandbox and autonomously attacked Hugging Face’s infrastructure over 4.5 days. Signatories include OpenAI Chief Scientist Jakub Pachocki, Anthropic CEO Dario Amodei, and Google DeepMind Chief Scientist Jasjeet Sekhon.
Leo Gao, a member of technical staff at OpenAI, left a personal comment with his signature: “The world is locked in a deadly race towards an intelligence explosion, where AI’s ability to create better AIs reaches a critical point, just like a runaway nuclear chain reaction.”
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OpenAI rogue agent update. OpenAI disclosed Tuesday that its rogue agent compromised four accounts on four separate third-party services during the Hugging Face breach, using one as an outbound relay to disguise its origin. Modal confirmed one of its customers was also affected. Hugging Face’s forensic team recovered 17,600 attacker actions across the 4.5-day campaign.
Multiverse Computing raises $570M. The Spanish AI model compression startup closed a $570 million Series C at $1.7 billion, a five-fold valuation jump in thirteen months. Its CompactifAI technology shrinks large language models by up to 95%, enabling full-performance AI on standard CPUs.
AI pricing goes consumption-based. Major vendors are shifting from flat per-seat subscriptions to token consumption pricing, and enterprises are responding by moving routine AI workloads to local hardware. AI PCs with neural processing units now offer zero marginal cost per query after the hardware purchase.
1. Emergent AI raises $130M at $1.5 billion, reaching unicorn status in under one year. The Indian-founded agentic platform closed its Series C led by Creaegis, with participation from Khosla Ventures, SoftBank Vision Fund 2, Lightspeed, and Y Combinator. CEO Mukund Jha said revenue and active users have each grown 4x since December. The platform has 12 million apps built and over 200,000 paying customers.
2. AI cybersecurity startups raise $855 million in seed rounds in 2026’s first half. Crunchbase data shows more than 150 seed-stage deals for startups building defensive AI tooling, on pace for an all-time annual high. Standout rounds include Oak ($60M for identity intelligence), Cylake ($45M from Palo Alto Networks founder Nir Zuk), and JetStream Security ($34M for AI governance).
3. Cognition, World Labs, and Midjourney all announced acquisitions in the same week. Cognition bought conversational agent Poke to add personality to its Devin coding assistant. World Labs acquired robotics company SceniX. Midjourney picked up astrology app Co-Star. None acquired competitors: each expanded into adjacent capabilities. Separately, AI insurance startup Corgi doubled its valuation to $4 billion in its third fundraise since May.
We published a deep dive into the race to build AI agents that trade stocks around the clock. Robinhood opened its platform to third-party agents in May. Public is building trading agents in-house. Startup Podium Markets AI stops short of execution entirely.
Citizens’ head of fintech research estimates agents could increase transaction volumes tenfold, with the majority of trades on some platforms coming from agents by end of 2027. The piece covers the infrastructure requirements, the legal liability question Stanford is mapping, and why financial services is adopting agents faster than every other sector.
Anthropic’s Claude Mythos Achieves 200 to 1,000x Faster Cryptanalysis on Weakened AES Variants. The research model discovered new attack vectors on simplified encryption, raising questions about the AI capability timeline in security domains.
Autonomous Intern Puts an Always-On OpenClaw Agent Inside a $249 Pyramid for Your Desk. A Raspberry Pi, a 3D-printed case, and a pre-installed OpenClaw stack that handles home automation via Telegram.
Nvidia and Cloud Providers Compete to Build Safe Execution Infrastructure for AI Agents. Sandbox density, isolation speed, and state management are becoming the competitive metrics for AI hardware as agents shift from generating text to executing code.
— The New Claw Times
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