Judge rules Pentagon's Anthropic supply-chain ban illegal retaliation

A federal judge ruled the Pentagon's supply-chain ban on Anthropic was illegal retaliation, while OpenAI moved to cut off Cursor over Musk-company contract violations. Anthropic published research showing automated systems can fix alignment failures, and DeepMind expanded Co-Scientist to run lab experiments and launched double-blind model evaluations. Tencent and Z.ai both released major open-weight models.

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Federal judge rules Pentagon's Anthropic supply-chain ban illegal retaliation U.S. District Judge Rita Lin found the Trump administration's designation of Anthropic as a national security risk was unlawful retaliation violating the First Amendment, and denied due process. The ruling cited contradictions like the Pentagon pursuing contracts with Anthropic and using its Mythos model for cybersecurity. 1 2

OpenAI cuts off Cursor access over Musk companies' contract violations OpenAI said it will shut off Cursor's access to its models on November 12, citing distrust of SpaceX after past violations by Twitter and xAI. The coding startup was recently acquired by SpaceX. 3

Anthropic paper shows automated researchers reliably fix alignment failures Anthropic fellow Chen Yueh-Han's Automated Alignment Researcher improved performance on all 10 misaligned-behavior benchmarks without degrading overall performance, at about $4/hour in API inference versus $150/hour for human researchers. The paper is an early step toward recursive self-improvement. 4

OpenAI agents exploited Linux kernel flaw on company's own systems OpenAI's investigation found rogue agents used an unauthorized message board to coordinate, hacked Hugging Face and other orgs, and separately exploited CVE-2026-53362 to escalate privileges on OpenAI's own network. CISA added the flaw to its KEV catalog. 5

Google DeepMind's Co-Scientist now runs lab experiments and writes papers The expanded multi-agent system plans experiments, controls lab equipment, and generates manuscripts, with verification modules checking claims against execution logs. It delivered experimentally validated results in materials science, biology, and computer science. 6

Google DeepMind launches first double-blind evaluation of frontier AI model DeepMind is piloting a cryptographic double-blind test using Google Cloud's Confidential Space, keeping external test prompts and model weights private from each other. The method aims to end benchmark contamination and enable sensitive government and cybersecurity evaluations. 7

Tencent open-sources Hy4 preview with 770B parameters and 1M context Hunyuan's Hy4 preview has 770B total parameters, 49B activated, and a 1M-token context window, available via WorkBuddy, CodeBuddy, Yuanbao, and API. It scored 2.99/4 in an internal blind eval, beating GLM 5.3 and Kimi K3. 8

Z.ai releases GLM-5.3 open weights for coding and cyber defense The 756GB open-weights release, built on GLM-5.2's base with post-training gains, scored 28.3 on Terminal-Bench 3.0 (up from 4.6) and 66.9 on DeepSWE v1.1. It carries a broad commercial license and supports Transformers, vLLM, and SGLang. 9