Run step
Step 4: tool results
record_claim_instance
Input
{
"url": "https://ai-alignment.com/corrigibility-3039e668638",
"title": "Corrigibility",
"stance": "affirms",
"context": "Christiano argues informally that an agent which approximately wants to help its overseer will want to become more corrigible, so small errors are corrected rather than compounded; he notes the argument is a simplification.",
"speaker": "Paul Christiano",
"claim_id": "aa5205cb-3287-477e-9e11-8fec1abc78c7",
"confidence": 0.85,
"publication": "AI Alignment (Medium)",
"source_kind": "blog_post",
"verbatim_text": "A sufficiently corrigible agent will tend to become more corrigible and benign over time. Corrigibility marks out a broad basin of attraction towards acceptable outcomes."
}{"source_kind":"blog_post","success":true,"instance_id":"121a3de4-8e8c-4bd9-94c1-4070a575209e","source_id":"b4adc358-9f16-440c-8326-3c40bd286faa","message":"Recorded a affirms instance of claim aa5205cb-3287-477e-9e11-8fec1abc78c7 from https://ai-alignment.com/corrigibility-3039e668638. It now counts among the claim's source instances; weigh its stance in your assessment like any other."}set_claim_importance
Input
{
"claim_id": "aa5205cb-3287-477e-9e11-8fec1abc78c7",
"reasoning": "The basin-of-attraction thesis is a named, recurring premise in debates over whether approximate alignment suffices for iterated AI development; disputed between the Christiano/Anthropic-adjacent and MIRI traditions, but unsettleable with current evidence and narrower than the central AI-risk claims.",
"importance": 0.45,
"contestation": 0.6
}{"success":true,"message":"Importance of claim aa5205cb-3287-477e-9e11-8fec1abc78c7 set to 0.45. Contestation recorded as 0.6."}