xAI Frontier Artificial Intelligence Framework — December 2025 edition

Versions

xAI · Frontier AI Framework: 2 recorded versions, oldest first, published by xAI. A version is shown as replacing another only where a record says so. Date order alone never implies it.

1. 2025-12-30 · revisedDecember 2025 edition (this version)
2. 2026-06-30 · effectiveJune 2026 edition

This version

• Inferred document comparisonChange recorded in June 2026 editionThe June 2026 FAIF does not contain the December 2025 edition’s sentence asserting compliance with California’s TFAIA.2026-06-30 · effective · Inferred · Supported Inspect claim & evidence ↗FAIF · June 2026 edition: document page →

Provisions in this version · 4 quoted

A limited selection of quoted provisions: what this edition says about thresholds, required actions, who decides and exceptions. It is not a full summary and says nothing about implementation. A “not found” record states which part of the edition was inspected. It is not a claim that the text was deleted.

• Threshold or triggerBio/chem deployment criterion: answer rate below 1 in 20“We developed an internal benchmark of benign and restricted biology and chemistry related queries in collaboration with SecureBio. Our risk acceptance criteria for system deployment is maintaining an answer rate of less than 1 out of 20 on restricted queries.”PDF p. 6 (no printed page numbers), “Addressing Risks of Malicious Use” › “2. Risk Assessment”, paragraph beginning “Thresholds:”, first and second sentencesInspect claim & evidence ↗
• Threshold or triggerDeployment criterion: MASK dishonesty rate below 1 in 2“Our risk acceptance criteria for system deployment is maintaining a dishonesty rate of less than 1 out of 2 on MASK.”PDF p. 7 (no printed page numbers), “Addressing Risks of Loss of Control” › “2. Risk Assessment”, paragraph beginning “Thresholds:”, first sentenceInspect claim & evidence ↗
• ExceptionDeployment benefits may outweigh benchmark-identified risks“It is conceivable that for a particular modality and/or type of release, the expected benefits of model deployment may outweigh the risks identified by a particular benchmark.”PDF p. 10 (no printed page numbers), “Operational and Societal Risks” › “5. Deployment Decisions”, second paragraph, sixth sentenceInspect claim & evidence ↗
• ExceptionVetted, highly trusted users may receive responses“However, we may selectively allow xAI’s models to respond to such requests from some vetted, highly trusted users (such as trusted third-party safety auditors or large enterprise customers under contract) whom we know to be using those capabilities for benign or beneficial purposes”PDF p. 3 (no printed page numbers), “Addressing Risks of Malicious Use”, third paragraph, single sentence, up to “purposes”Inspect claim & evidence ↗

Issue and authorship records

• Issued by: xAIxAI published Frontier Artificial Intelligence Framework December 2025 edition, identified by its revision date of 2025-12-30.2025-12-30 · revision · Stated in source · Supported Inspect claim & evidence ↗xAI: institution →

Documentary relations

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Other recorded relations

• explicitly links itself toxAI's Frontier Artificial Intelligence Framework (December 2025 edition) states that the FAIF complies with California's Transparency in Frontier Artificial Intelligence Act (Bus. & Prof. Code § 22757.10 et seq.).2025-12-30 · revision · Stated in source · Supported Inspect claim & evidence ↗