Never Advocated for a Ban

Hosts: Lenar Kess, Damra Vol. Anthropic says it has never advocated for a ban on open-weights models, and the top thread on the LocalLLaMA subreddit says that is exactly what the post proposes. Both are reading the same sentence about mandatory safety testing — a requirement whose threshold nobody has named. Plus NVIDIA's new security alliance, Kimi K3's second day, and a five-hundred-dollar fine-tune that beat five frontier configurations at one narrow job.Anthropic — Our position on open-weights modelsDavid Sacks on the distillation plankPC Gamer — Jensen Huang's first post on X defends open accessNVIDIA's Open Secure AI Alliance announcementMoonshot — the Kimi K3 technical reportTelnyx — K3 inference pricing"Largest open-weight model ever released. You still can't run it."Fermisense — a $500 reinforcement learning fine-tune on catalog reviewTim Hua's estimate of ~10,000 sandbox escapesSysdig — the JadePuffer researchDark Reading — JadePuffer, billed as the first complete model-driven ransomware attackMicrosoft — MAI-Cyber-1-Flash inside MDASHWired — private Claude chats in Google and Bing resultsAI Engineer — Netflix on pointing agents at profiler outputGregory Szorc — python-build-standalone

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