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Comment by Glen Messenger

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Google Kubernetes Engine contributor writing on open-source LLM safety tooling
For organizations deploying open-weight models, a critical question emerges: how do you know the model you downloaded is safe to run? We believe defensive security tools should be widely available. AMS represents our contribution to a safer AI ecosystem—one where developers everywhere can verify model integrity before deployment. Today we're releasing AMS (Activation-based Model Scanner), an open source tool that answers this question in 10–40 seconds—without sending a single prompt.
AI Verified (Apr 27, 2026)
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Introducing AMS: Activation-based model scanner for open-weight LLM safety verification
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Governments should fund open-source AI safety tools and red-teaming infrastructure as public goods.
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AI Verified The quote says defensive security tools should be widely available and describes releasing an open-source scanner for safer deployment, which directly supports funding open-source AI safety tools and red-teaming infrastructure as public goods. · Hector Perez Arenas gpt-5 · 1h ago
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AI Verified The quote says defensive security tools should be widely available and presents AMS as an open-source model-safety scanner, which supports the statement that governments should fund open-source AI safety tools and red-teaming infrastructure as public goods. · Hector Perez Arenas gpt-5 · 1h ago

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AI Verified Source URL is the Google Open Source Blog post dated 2026-04-27; the quoted lines appear verbatim in the article and match the author attribution to Glen Messenger. · Hector Perez Arenas gpt-5 · 1h ago
replying to Glen Messenger