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OpenAI and Anthropic share findings from a joint safety evaluation

OpenAI and Anthropic just evaluated each other's models. Here's what they found about alignment, jailbreaking, and hallucinations.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Cross-lab safety collaboration between two AI leaders sets a governance precedent and reveals real-world model vulnerabilities—critical for boards weighing AI deployment risk and regulatory compliance.

The key facts

5 to know
  1. First joint safety evaluation between OpenAI and Anthropic

  2. Testing domains: misalignment, instruction following, hallucinations, jailbreaking

  3. Cross-lab collaboration model for AI safety benchmarking

  4. Published findings available publicly (governance transparency)

  5. Benchmarking approach includes vulnerability assessment across both organizations' models

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: OpenAI and Anthropic share findings from a first-of-its-kind joint safety evaluation, testing each other’s models for misalignment, instruction following, hallucinations, jailbreaking, and more—highlighting progress, challenges, and the value of cross-lab collaboration.
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