OpenAI and Anthropic Explored Mutual AI Safety Testing Deal

Leading AI labs considered collaborative safety testing

OpenAI and Anthropic came close to reaching an agreement that would have allowed each company to stress-test the other's artificial intelligence systems, according to a new report from The Information.

The arrangement would have represented an unusual form of cooperation between two of the most prominent AI labs, both of which have made safety commitments central to their public positioning. The discussions centered on allowing each organization to probe the other's models for potential vulnerabilities, risks, or unexpected behaviors.

While the report confirms the two companies neared a deal, it does not specify whether the agreement was ultimately finalized or what factors may have influenced the outcome of the negotiations.

Why it matters

This development signals a potential shift in how leading AI companies approach safety evaluation. Rather than relying solely on internal testing or third-party auditors, direct peer review between competitors could provide more rigorous scrutiny of frontier AI systems. If formalized, such arrangements might establish a precedent for the industry, particularly as governments worldwide consider regulatory frameworks that could mandate external testing of powerful AI models. The willingness of OpenAI and Anthropic to even explore this kind of mutual evaluation suggests both companies recognize the limitations of self-assessment and the value of adversarial testing by teams with deep technical expertise.

Implications for AI safety practices

The near-agreement between OpenAI and Anthropic reflects growing recognition within the AI industry that robust safety testing may require external validation. Both companies have previously committed to various safety protocols, but allowing a competitor to probe for weaknesses would represent a more transparent approach.

Stress-testing AI systems typically involves attempting to elicit harmful outputs, identifying security vulnerabilities, and evaluating whether models behave as intended under edge cases. Having another leading lab conduct this testing could uncover issues that internal teams might miss due to familiarity with their own systems or organizational blind spots.

The timing of these discussions comes as policymakers in the United States, European Union, and United Kingdom are developing frameworks for AI governance that may include requirements for independent safety evaluations of the most capable systems.

Industry context

Both OpenAI and Anthropic have positioned themselves as leaders in AI safety research. Anthropic was founded in 2021 by former OpenAI researchers, including siblings Daniil and Daniela Amodei, with an explicit focus on building safer AI systems. The company has published research on techniques like constitutional AI, which aims to make models more aligned with human values.

OpenAI has similarly emphasized safety in its mission statement and has established internal processes for evaluating risks before deploying new models. However, both companies have faced criticism from some researchers who argue that competitive pressures may compromise safety considerations.

The details of the potential stress-testing arrangement were first reported by Amir Efrati and Stephanie Palazzolo at The Information.