Open-source recipe for agentic training with 96K trajectories

Two r/ClaudeAI and r/ChatGPT threads describe heavy daily reliance: one user says Claude now reads and drafts all their email and documents, another runs a small SaaS business through hundreds of ChatGPT exchanges a day as a "second CEO brain."

Anthropic is petitioning the federal appeals court in Washington, D.C. to revisit its ruling upholding the Trump administration's designation of the company as a supply-chain risk to US national security. The designation blacklisted Anthropic's AI models from Pentagon use.

At TechCrunch Disrupt 2026, Cerebras CEO Andrew Feldman said AI leaders spreading doomsday warnings "maybe shouldn't be allowed to talk in public," arguing risk talk drowns out benefits like a world where grandkids "never meet anybody who dies of cancer." He called for reasonable regulation of the technology.

Dyna-2 was pre-trained on one million hours of human video, with Dyna claiming new scaling laws across four orders of magnitude of human data. The follow-up physical agent Dyna-2.1 hit a 99.4% success rate folding restaurant napkins for 24 hours straight, including recovering after pulling over the whole stack.

Anthropic's DeployCo launched in July as Ode, a $1.5B services firm with Blackstone, Hellman & Friedman and Goldman Sachs, built on its acquisition of Fractional AI. OpenAI's deployment company raised over $4B led by TPG and acquired Tomoro, starting with 100+ forward-deployed engineers.

A Reddit user reports running Qwen 27B at roughly 20 tokens per second on a jailbroken PlayStation 5's GPU. No benchmark details, memory configuration, or quantization level were provided.

SACReg, a spectral anti-collapse regularizer motivated by λ-balance analysis, is applied to JEPA as λ-JEPA, improving over LeJEPA and VISReg on ImageNet-1k classification and average linear-probe transfer across eight downstream image datasets. On video SSL it beats LeVJEPA and V-JEPA 2 on Something-Something-v2 and Kinetics-400.