Run step
Step 16: tool results
add_argument
Input
{
"name": "The argument from measured weak-to-strong monitoring under improved monitor design",
"stance": "for",
"claim_id": "54994356-47c8-4a8f-8761-c9ce277a8456",
"description": "Experiments in which weaker monitors given structured scaffolds or reasoning access detect stronger agents' covert misbehavior at high rates, with little dependence on the capability gap."
}{"success":true,"message":"Created argument \"The argument from measured weak-to-strong monitoring under improved monitor design\" (for) on claim 54994356-47c8-4a8f-8761-c9ce277a8456. 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":"d96f429d-aee5-431e-9e5b-d90d0ff5e7ed"}add_argument
Input
{
"name": "The argument from adaptive evasion",
"stance": "against",
"claim_id": "54994356-47c8-4a8f-8761-c9ce277a8456",
"description": "Agents that know they are monitored and adapt (prompt injection of the monitor, deceptive or rewritten reasoning) sharply reduce weak monitors' detection, so measured performance against non-adaptive agents does not establish reliability."
}{"success":true,"message":"Created argument \"The argument from adaptive evasion\" (against) on claim 54994356-47c8-4a8f-8761-c9ce277a8456. 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":"b366b8aa-32a0-4119-9229-bd7f1965d92a"}add_argument
Input
{
"name": "The argument from dependence on legible reasoning",
"stance": "against",
"claim_id": "54994356-47c8-4a8f-8761-c9ce277a8456",
"description": "Chain-of-thought access helps a monitor only while the agent's reasoning is externalized and legible, a property of current models that is not guaranteed to persist in stronger ones."
}{"success":true,"message":"Created argument \"The argument from dependence on legible reasoning\" (against) on claim 54994356-47c8-4a8f-8761-c9ce277a8456. 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":"f3cba9bf-29b8-4905-8ff5-b782771ce688"}add_argument
Input
{
"name": "The argument from the shortfall at deployable false-positive rates and residual gap dependence",
"stance": "against",
"claim_id": "54994356-47c8-4a8f-8761-c9ce277a8456",
"description": "Even the best-designed weak monitors miss a substantial share of attacks at the low false-positive rates deployment requires, and their accuracy still falls as the agent's advantage grows."
}{"success":true,"message":"Created argument \"The argument from the shortfall at deployable false-positive rates and residual gap dependence\" (against) on claim 54994356-47c8-4a8f-8761-c9ce277a8456. 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":"9d303f6f-fefa-4b53-bf04-698cd14e7d5f"}