Run step
Step 4: tool results
add_argument
Input
{
"name": "The argument from the auditing game's undetected imitation sandbagger",
"stance": "for",
"claim_id": "cd617e0f-7b7c-4d5c-a8a5-c2ebf2aead53",
"description": "In UK AISI's auditing game, a model logit-distilled to imitate a weaker model evaded the blue team's black-box methods."
}{"success":true,"message":"Created argument \"The argument from the auditing game's undetected imitation sandbagger\" (for) on claim cd617e0f-7b7c-4d5c-a8a5-c2ebf2aead53. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"0a5af422-0385-4a88-9986-4957e697cac0"}add_argument
Input
{
"name": "The argument from output indistinguishability",
"stance": "for",
"claim_id": "cd617e0f-7b7c-4d5c-a8a5-c2ebf2aead53",
"description": "A model whose output distribution on evaluated inputs matches a genuinely weaker model's leaves output-only detectors nothing to separate."
}{"success":true,"message":"Created argument \"The argument from output indistinguishability\" (for) on claim cd617e0f-7b7c-4d5c-a8a5-c2ebf2aead53. Attach its subclaim edges, then give it a written form with write_argument, and evaluate it with evaluate_argument when you record the claim's assessment.","argument_id":"7b700914-6f3d-4097-9ba4-418d6720a2cc"}