Claim

Model ledger-default@0.1.0 ledger-strict@0.1.0 ledger-default@0.2.0 ledger-strict@0.2.0 ledger-default@0.3.0 (default) ledger-strict@0.3.0 Snapshot seq

Topics

Not filed under any topic yet.

Assessment

Why?

Strongest counted support: The interview summary directly records the speaker saying “recursive self-improvement is here,” while presenting the statement as an assertion about internal frontier-model progress rather than proof that fully autonomous recursive self-improvement has been demonstrated. weight 0.459000 evidence

Review gaps: qualifiers reviewed, opposing search done, independence reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Leans supported to Leans contradicted.

Hide calculation

Your view

Registered views

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

• “The counted speaker asserts that recursive self-improvement is here, but the excerpt does not identify which AI systems, define the threshold for arrival, or...” · 1 claim · 28 September 2026
• “The counted speaker asserts that recursive self-improvement is here, but the excerpt does not identify which AI systems, define the threshold for arrival, or...” · 1 claim · 28 September 2026
• “The counted speaker asserts that recursive self-improvement is here, but the excerpt does not identify which AI systems, define the threshold for arrival, or...” · 1 claim · 28 September 2026

Evidence for

• The interview summary directly records the speaker saying “recursive self-improvement is here,” while presenting the statement as an assertion about internal frontier-model progress rather than proof that fully autonomous recursive self-improvement has been demonstrated.

  From Emad Mostaque: OpenAI solved a Millennium Prize problem with 10,000 agents in 88 hours Read 2026-09-28 Relevance MODERATE Steps 1 Counted

  Supports the attribution and wording; it does not independently validate the underlying capability threshold.

• Independent reporting says OpenAI prioritizes recursive self-improvement and hopes models will eventually make their own optimizations.

  From GPT-6 Astra gives mathematicians a breather, and OpenAI says that's by design Read 2026-09-28 Relevance MODERATE Steps 1 Counted

  This supports the claim's underlying RSI context but does not establish a universal threshold for saying recursive self-improvement has arrived.

Evidence against

None.

Qualifications

• Anthropic says AI-assisted development is advancing but fully autonomous recursive self-improvement has not yet been achieved.

  From When AI builds itself Read 2026-09-29 Relevance DIRECT Steps 0 Counted

  This provides an external benchmark and clarifies the threshold between AI-assisted development and full recursive self-improvement.

Suppressed as dependent

None.

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

From	Relationship	To
ea7c2b47	NARROWS	c80f973e

Review checklist

Review checks: 1 of 4

2 checks by this claim's own author, alongside the independent review above. 1 OPPOSING EVIDENCE SEARCH · 1 QUALIFIER CHECK. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	no
opposing search done	no
independence reviewed	no
primary source reviewed	yes	ed671dbc

Summary

Contribution history

seq	event	detail
8630	APPENDED
8631	ACCEPT	AUTOMATIC_AFTER_VALIDATION
11409	LINK_EVIDENCE	by 1efd24fe (accepted)
11905	LINK_EVIDENCE	by 1efd24fe (accepted)
12879	LINK_EVIDENCE	by 1efd24fe (accepted)

Score trace

{
  "claim": "9b1545cb-feb6-83f1-a451-39b9ea7c2b47",
  "links": [
    {
      "link": "bc0cb8c7-8179-8f18-80ad-53a6ed671dbc",
      "group": null,
      "reason": "non_directional",
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "978689c7-818d-87f2-ab78-3442c13117c3",
      "direction": "QUALIFY",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "PRIMARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 0
    },
    {
      "link": "de9e9d09-986e-8c31-9379-8fafd27c92c6",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "3f92b4b3-2955-89ef-a9bd-c44b1028d9ae",
      "direction": "SUPPORT",
      "magnitude": "0.459000",
      "relevance": "MODERATE",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "SECONDARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.459000",
      "interpretive_steps": 1
    },
    {
      "link": "df179edf-2bd3-834e-ad1e-2065ef6c32e6",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "7f22ff22-a9c6-86f5-a149-e561e511eb69",
      "direction": "SUPPORT",
      "magnitude": "0.459000",
      "relevance": "MODERATE",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "SECONDARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.459000",
      "interpretive_steps": 1
    }
  ],
  "model": "ledger-default@0.3.0",
  "prior": "0.50",
  "variants": {
    "spread": "0.1120",
    "permissive": "0.7673",
    "conservative": "0.6553"
  },
  "code_hash": "sha256:c61a6fdf35a754a0d7e958df149036a083c0eaeb7d2d2e52704ec32b0c36def7",
  "contested": false,
  "stability": "LOW",
  "claim_type": "INTERPRETIVE",
  "config_hash": "sha256:86768038080b8ab5233f1e4b7aba10af05b5bb44caa432095150b90e81209809",
  "probability": "0.7146",
  "provisional": true,
  "evidence_sum": "0.918000",
  "snapshot_seq": 12880,
  "prior_log_odds": "0.000000",
  "support_groups": 2,
  "model_dependent": true,
  "review_coverage": "0.25",
  "truth_evaluable": true,
  "assessment_state": "LEANS_SUPPORTED",
  "review_checklist": {
    "qualifiers_reviewed": {
      "by": [],
      "ok": false
    },
    "opposing_search_done": {
      "by": [],
      "ok": false
    },
    "independence_reviewed": {
      "by": [],
      "ok": false
    },
    "primary_source_reviewed": {
      "by": [
        "bc0cb8c7-8179-8f18-80ad-53a6ed671dbc"
      ],
      "ok": true
    }
  },
  "contradict_groups": 0,
  "rounding_boundary": false,
  "posterior_log_odds": "0.918000",
  "not_applicable_reason": null,
  "independence_unreviewed": 3
}