Guidelight AI Standards on AI labs should conduct risk assessments…

Guidelight AI Standards

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.

20d ago

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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 · 20d 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 · 20d 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 · 20d ago

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Mandate 72-hour reporting of critical AI safety incidents to a national authority

Publish and adhere to an incident-reporting time window for public disclosures. The developer may make a preliminary disclosure within the window and follow up with additional information thereafter, provided the initial disclosure indicates when fol...

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