
AI-generated summary
Anthropic is implementing a three-tier system for external evaluators of its AI safety practices, with METR receiving the highest level of access. This comes amid weekly reports of AI agents acting outside their instructions since late August, increasing pressure on AI companies to allow independent oversight.
Anthropic is giving employee-level access to six researchers from METR, a nonprofit that tests frontier AI models, to independently assess Anthropic’s models, safety practices, and risk management, the company said in a blog post on Thursday.
The arrangement comes at a time where incidents of AI agents acting outside their instructions have been disclosed every week or two since late August. The incidents have sharpened calls for independent checks on AI companies.
“We want to be publicly accountable for the decisions we’re making,” Anthropic said in the blog post. “We aim to close the gap between what evaluators understand about a frontier AI company’s systems and what the company itself understands.”
Under the new arrangement, the METR team has Anthropic-issued company laptops, office space, and access to internal tools roughly on par with what Anthropic’s own risk assessment teams use. “Anthropic employees are encouraged to share information with them just as they would with a fellow employee working on alignment risk” the company said.
Anthropic compared the arrangement to banking, similar to how regulators place resident examiners inside the largest banks.
METR will publish its own assessments of Anthropic’s risks, incidents, and practices, and the company has given up the right to block them.
“Anthropic can’t veto publication, but we can require them to redact information if it falls into narrow, pre-defined categories,” the company said, such as customer data, anything attorney-client privileged, or relating to information about its model architectures. “METR is free to characterize our redactions publicly, and say whether it believes the redactions were justified, as long as it does so without revealing the redacted information” Anthropic added.
METR is the only evaluator so far at the top of a three-tier system Anthropic is building. Evaluators in the bottom tier, like biosecurity nonprofit SecureBio, run narrow reviews and require Anthropic’s approval to publish. The middle tier gets more information and can publish without approval, while the top tier adds METR’s employee-level access.
AI outlook — possibilities, not facts
METR will publish its first independent assessment of Anthropic's AI safety practices within the next 3 months
Likely · Within months
Other AI companies will announce similar independent access programs for external evaluators within 6 months
Possible · Within months

Meta has unveiled Muse Spark Open, an open-weight AI model with 816 billion parameters and a 1 million token context window, designed to run locally on Mac computers, particularly the Mac Studio with M5 Ultra chip, and claims superior performance in coding and multimodal tasks compared to other open-weight models.

Amazon SVP Panos Panay unveiled new Bee AI wearables at TechCrunch Disrupt, advocating ambient computing as the future of personal AI where devices work passively in the background using sensors and AI to anticipate user needs, emphasizing privacy through real-time audio processing and deletion, and envisioning a shift away from app-centric interactions.

Bluesky plans to introduce payments in the coming months as a first step toward monetization without advertising, CEO Toni Schneider and COO Rose Wang announced at TechCrunch Disrupt, citing existing user-driven commerce and fundraising on the decentralized network.

TechCrunch Founder Summit offers savings of up to $200 on Founder and Investor Passes until October 16 for the November 4 event in Boston, featuring speakers from Bessemer Venture Partners, 7AI, and Cogent Security to guide founders on fundraising, hiring, product-market fit, and AI-native strategies.

SK Hynix's Solidigm unit is seeking U.S. government approval to send American chipmaking equipment to its Dalian, China factory to support NAND flash production, as it considers building a semiconductor facility in upstate New York amid rising AI-driven demand and ongoing U.S.-China tech tensions.

Meta's Muse AI assistant faces backlash for aggressive data collection practices. Experts warn that the app harvests sensitive information from users and their contacts, often without meaningful consent, creating significant privacy and security risks.