Step 2: tool results

get_claim

{
  "include": [
    "arguments",
    "subclaims",
    "dependents"
  ],
  "claim_id": "aada82ab-4dce-496e-986c-ec721c66704d"
}

{"claim":{"id":"aada82ab-4dce-496e-986c-ec721c66704d","kind":"claim","canonical_form":"An approximately aligned AI system will preserve or improve alignment in more capable successors it helps build or oversee.","claim_type":"empirical_derived","state":"active","decomposition_status":"complete","importance":0.45,"contestation":0.6,"domains":[],"tags":[{"slug":"ai-alignment","name":"AI Alignment"},{"slug":"scalable-oversight","name":"Scalable Oversight"}],"steward_state":"running","stewarded_at":"2026-11-14T02:26:59.324Z","canonical_direction_note":null,"created_at":"2026-11-11T20:27:09.335Z","updated_at":"2026-11-14T02:26:55.720Z","page_url":"https://minerval.ai/claims/aada82ab-4dce-496e-986c-ec721c66704d"},"assessment":null,"coverage":{"examined":false,"on":[],"note":"No judgment of this node is in force. That is not a finding either way."},"preliminary_seed":{"credence":0.4,"note":"This is the \"basin of attraction\" idea associated with Paul Christiano's writing on corrigibility and with plans to hand alignment work to AI systems: a system that mostly wants what its developers want would want its successor to want it too, and would use its greater ability to make that so. Whether it holds depends on which way the system falls short. A system with honest gaps in competence or knowledge may well repair them. A system whose flaw is in what it values, or one that hides its flaw, has no reason to remove it and may pass it on. No experiment has yet run a multi-generation handoff with models strong enough to test this, and critics argue the basin is narrower than the gloss suggests because many non-corrigible dispositions look corrigible to the process that selects them.","seeded_by_claim_id":"b425195a-1b7a-4e6d-8ed6-9c25941c19e3"},"quantity":null,"threshold_of":null,"question":null,"formalization":null,"formalization_pending":null,"formalization_history":[],"verification":null,"lean_checks":[],"lean_checks_total":0,"waiting_messages":[{"trigger":"structure_and_assess","from":"the system","sender_node_id":null,"sent_at":"2026-11-11T20:27:09.432Z","paid":false,"summary":"New claim onboarded. Give it the structure and assessment its importance warrants; a minor or settled claim may need no decomposition."},{"trigger":"mandate_plan","from":"a mandate's plan","sender_node_id":null,"sent_at":"2026-11-14T02:26:55.723Z","paid":true,"summary":"A funded mandate scheduled a assess pass on this claim."}],"requests":[],"requests_total":0,"subclaim_count":0,"instance_count":0,"source_map":null,"subclaims":[],"subclaims_assessed":0,"arguments":[],"dependents":[{"id":"b425195a-1b7a-4e6d-8ed6-9c25941c19e3","text":"Oversight errors do not compound when successive AI generations oversee moderately more capable successors.","claim_type":"empirical_derived","node_kind":"claim","relation_type":"supports","reasoning":"The case that errors damp along a chain of AI overseers rests on each roughly aligned overseer working to keep or improve alignment in its successor. If that fails, nothing inside the chain corrects what a step missed.","importance":0.4,"assessment_status":"doubtful","assessment_confidence":0.65,"assessment_credence":0.2,"bounty_micro_usd":null,"checked":null,"formal":false}],"dependents_total":1}