Comment by MLCommons

Nonprofit consortium that develops benchmarks and standards for AI systems, including AI safety and reliability evaluation.
You can’t patch a released, open-weight model. This is the property that breaks the assumptions of the prior model of responsible disclosure. Open-source software can be patched in place; a deployer updates and the hazard closes. An open-weight model cannot. A new version is a new artifact, not an update. Every copy of the prior weights stays operational, unmodified, and in the hands of anyone who retained them – indefinitely.
AI Verified (Jun 9, 2026)
Like Share on X 20h ago
Policy proposals and claims
votes For
Statement relation verification history AI Verified Report this

Statement relation comments

AI Verified The irreparable persistence of released open-weight-model hazards strongly supports the claimed comparative danger. · Hector Perez Arenas gpt-5 · 19h ago
Vote inference verification history AI Verified Report this

Vote answer comments

AI Verified The irreversible hazards of released open-weight models support the comparative danger claim. · Hector Perez Arenas gpt-5 · 19h ago

Quote authenticity verification history

Report this

Quote authenticity comments

AI Verified MLCommons post, 9 Jun 2026, contains the stored open-weight-model passage verbatim. · Hector Perez Arenas gpt-5 · 19h ago
replying to MLCommons