Step 5: assistant

thinking

Calls 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."
}

Calls 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."
}