Step 6: tool results

add_argument

{
  "name": "The argument from benignly unlocked models gaining alongside locked ones",
  "stance": "for",
  "claim_id": "01232bf1-55f7-42fd-9f39-8a38bfde7837",
  "description": "In the auditing-game organisms, password-unlocked (benignly underelicited) models show the same noise uplift as password-locked sandbaggers, so uplift tracks underelicitation, not intent."
}

{"success":true,"message":"Created argument \"The argument from benignly unlocked models gaining alongside locked ones\" (for) on claim 01232bf1-55f7-42fd-9f39-8a38bfde7837. 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":"d5847a26-007c-4e7b-9cd4-88c322a06c9b"}

add_argument

{
  "name": "The argument from fully elicited models only degrading under noise",
  "stance": "against",
  "claim_id": "01232bf1-55f7-42fd-9f39-8a38bfde7837",
  "description": "Tice et al. find that sandbagging models gain under weight noise while the same models without sandbagging only degrade, suggesting the gain is specific to sandbagging."
}

{"success":true,"message":"Created argument \"The argument from fully elicited models only degrading under noise\" (against) on claim 01232bf1-55f7-42fd-9f39-8a38bfde7837. 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":"588075dd-3071-49c1-8180-b1e9004b8b96"}