Start with the claim.
Separate what was announced from what the evidence actually establishes.
Independent research by Brennan McCloud
Source-led research on verification, assurance, operations, and the evidence required when intelligent systems make consequential claims or take consequential actions.
An independent assurance audit of OpenAI's ten machine-checked advances: strong proof evidence, one different validation boundary, and a missing provenance layer.
Separate what was announced from what the evidence actually establishes.
Make clear what software verifies, what it assumes, and where judgment returns to people.
Expose sources, measurements, caveats, and the path another person can use to check the work.