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Comment by Guidelight AI Standards

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Do not deploy a risk-relevant model. This includes any model deployed internally that meets or exceeds the threshold for frontier models articulated by California SB 53 (10^26 FLOPs of training compute), internally or externally, until a pre-designated decision-maker has reviewed its results on those evaluations against the published triggers.
AI Verified (Sep 9, 2026)
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Do not deploy a risk-relevant model. This includes any model deployed internally that meets or exceeds the threshold for frontier models articulated by California SB 53 (10^26 FLOPs of training compute), internally or externally, until a pre-designated decision-maker has reviewed its results on those evaluations against the published triggers.
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AI labs should conduct risk assessments before high-stakes internal deployment of frontier models
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AI Verified The quote expressly bars internal deployment of frontier-threshold models until an authorized decision-maker reviews evaluation results, directly matching the full statement. · Hector Perez Arenas gpt-5 · 1h ago
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AI Verified The quote explicitly requires a decision-maker to review evaluation results before internal deployment of frontier-threshold models, so “for” is correct. · Hector Perez Arenas gpt-5 · 1h ago

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AI Verified Guidelight’s Alignment Standard contains this pre-deployment gate covering internally deployed models at the frontier threshold. · Hector Perez Arenas gpt-5 · 1h ago
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