Anthropic Gives METR Employee Level Access for Safety Reviews

Oct 15, 2026
Six METR employees can access Anthropic hardware, offices and internal systems while independently publishing findings about AI risks and incidents.
Anthropic Gives METR Employee Level Access for Safety Reviews

Anthropic has implemented its plan to embed outside AI safety evaluators, giving six employees of METR access to company hardware, offices and internal systems, Reuters reports. Their access is roughly equivalent to that of Anthropic's risk assessment teams.

METR cannot access customer data, legally privileged information or model architecture. Anthropic cannot veto its findings about risks, incidents and company practices, but can require narrowly defined redactions. METR can publicly challenge those redactions without disclosing the withheld information.

Anthropic is also working with SecureBio and Accenture's Faculty business under arrangements with more limited access and publication rights. SecureBio is reviewing the chemical and biological weapons section of Anthropic's August risk report, while Faculty is working on model evaluations, adversarial testing and assessments of model behavior.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.