Andrew Trask posted that AI labs do not see benchmark prompts or responses while evaluation organizations stay blind to model weights. Stella Biderman argued the setup does not match standard double-blind definitions from science or peer review. The thread examined whether hiding model identity would reduce evaluator preference bias and whether enclaves provide analogous confidentiality without placebos. Participants disputed the term's usage but reached no agreement.