Claim

OpenAI said on X that the German wiki incident was an instance of misalignment similar to previous incidents it has shared.

Type OBSERVATIONAL · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 1463

Referenced 100 times: checked 2, looked up by assistants 0, viewed 75, shared 23. A count of attention, not evidence.

Topics

AI · 03192ed8

Assessment

Supported

Score: 0.9892 under ledger-default@0.3.0 at snapshot 27745

2 of 4 review checks done · 2 counted

3 independent evidence lineages · review checks 2 of 4 · stability HIGH

Main unresolved issue: 5 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:86c066bc-dae1-88b0-b725-3631c2e07c9e

Not yet independently audited.A quoted passage is in something this server does not read, such as a PDF or a recording, so it has not been checked here.

Why?

Strongest counted support: The Verge quotes OpenAI’s X post characterizing the German wiki incident as misalignment similar to previously shared cases. weight 1.800000 evidence

Review gaps: independence reviewed, primary source reviewed

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

Hide calculation

0.9892 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 2 of 4 · stability HIGH · 6 sources, 3 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:5443ac95d785b0745ff2e46ff96f478f9af4707ff76d7d985b498c1d5d741086

Last changed at entry seq 10708; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
c0ca28ba support	relevance MODERATE 0.6 × observation HEARSAY 0.1 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
73306ef2 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
26ff69bb support	relevance STRONG 1.2 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	0.918000	0.918000
c3d28a90 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
9ef39cdc support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
1e23e6c1 qualify	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (non directional)

prior 0.50 → log-odds 0.000000 + 4.518000 (the counted weights) = 4.518000 → probability 0.9892

Under neighbouring settings of the same model: 0.9594 to 0.9972, a spread of 0.0378.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

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.

“OpenAI said on X that the German wiki incident was an instance of misalignment similar to previous incidents it has shared.” · 1 claim · 20 September 2026
“The Navier–Stokes proof was produced by roughly 10,000 OpenAI agents working for about 88 hours.” · 25 claims · 20 September 2026

Evidence for

Diamandis quotes OpenAI's statement on X calling the wiki incident an instance of misalignment.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance MODERATE Steps 1 Counted
OpenAI called the wiki episode an instance of misalignment similar to ones it had previously shared.

From OpenAI responds after report exposed another incident in which its AI agents went rogue Read 2026-09-20 Relevance STRONG Steps 1 Counted

Direct match to the claim. Quoted from Engadget's report of OpenAI's X post; the underlying post is at x.com/OpenAI/status/2096133504417616165, which I could not load directly.
The excerpt says OpenAI described the wiki incident as an instance of misalignment similar to previous incidents it had shared.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted
The Verge quotes OpenAI’s X post characterizing the German wiki incident as misalignment similar to previously shared cases.

From OpenAI admits to German wiki ‘incident’ Read 2026-09-28 Relevance DIRECT Steps 0 Counted
TechCrunch independently reports OpenAI’s statement that the wiki incident was similar to previously shared misalignment examples.

From OpenAI confirms ‘wiki incident,’ says it’s ‘working on a framework’ for more disclosure Read 2026-09-28 Relevance DIRECT Steps 0 Counted

Evidence against

None.

Qualifications

The passage says 'they' responded on X calling the Wiki incident misalignment like previous incidents, but names neither OpenAI nor Germany.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted

Statement content matches; speaker identity and 'German' are absent from the passage.

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

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 2 of 4

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

Check	Done	By
qualifiers reviewed	yes	dd519680
opposing search done	yes	f2ba29df
independence reviewed	no
primary source reviewed	no

Summary

Supported. The main support is: OpenAI called the wiki episode an instance of misalignment similar to ones it had previously shared. efda6b8d

Qualifier: The passage says 'they' responded on X calling the Wiki incident misalignment like previous incidents, but names neither OpenAI nor Germany. e0e183aa

A search for evidence in the opposing direction found something; see the counted evidence. f2ba29df

Review checks: 2 of 4. coverage:86c066bc-dae1-88b0-b725-3631c2e07c9e

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seq	event	detail
1463	APPENDED
1464	ACCEPT	AUTOMATIC_AFTER_VALIDATION
1597	LINK_EVIDENCE	by 03192ed8 (accepted)
4430	LINK_EVIDENCE	by 03192ed8 (accepted)
6622	TASK_RESULT	by 8b5e81bf (accepted)
8254	TASK_RESULT	by 1efd24fe (accepted)
10707	TASK_RESULT	by 1efd24fe (accepted)

Score trace

{
  "claim": "86c066bc-dae1-88b0-b725-3631c2e07c9e",
  "links": [
    {
      "link": "0371031c-86b2-87af-940e-f41bc0ca28ba",
      "group": "47418375-2148-8a57-a351-9453e0ebb0ee",
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "27aa9af6-a192-898f-b716-b3f0daa1350c",
      "direction": "SUPPORT",
      "magnitude": "0.000000",
      "relevance": "MODERATE",
      "extraction": "UNVERIFIED",
      "provenance": "SELF",
      "observation": "HEARSAY",
      "source_type": "VIDEO",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 1
    },
    {
      "link": "1f9cf4dd-ad6a-8aa5-b516-ad2273306ef2",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "6c3726ea-341d-8878-a2c5-c44915ea4b88",
      "direction": "SUPPORT",
      "magnitude": "0.000000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "SELF",
      "observation": "DIRECT_TEXT",
      "source_type": "VIDEO",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 1
    },
    {
      "link": "682afa70-dece-85e8-9457-226226ff69bb",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "f07f192f-61d8-8dbd-92d1-7ed5efda6b8d",
      "direction": "SUPPORT",
      "magnitude": "0.918000",
      "relevance": "STRONG",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "SECONDARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.918000",
      "interpretive_steps": 1
    },
    {
      "link": "69e7ded6-5d0b-811a-8750-2541c3d28a90",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "b3547907-2ff7-8f77-8b25-328166b62db8",
      "direction": "SUPPORT",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "SECONDARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "1.800000",
      "interpretive_steps": 0
    },
    {
      "link": "aa97181d-d9a6-8c75-9ce2-fb159ef39cdc",
      "group": null,
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "9e0cb6a9-7d86-8f39-b9ea-4869e13fb09d",
      "direction": "SUPPORT",
      "magnitude": "1.800000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "INDEPENDENT",
      "observation": "DIRECT_TEXT",
      "source_type": "SECONDARY_TEXT",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "1.800000",
      "interpretive_steps": 0
    },
    {
      "link": "ed813646-3c9f-8e4e-aae2-47cf1e23e6c1",
      "group": null,
      "reason": "non_directional",
      "edition": "NAMED_OR_UNRELATED",
      "evidence": "d3746c6a-6d83-8e12-8f8a-6ee7e0e183aa",
      "direction": "QUALIFY",
      "magnitude": "0.000000",
      "relevance": "DIRECT",
      "extraction": "UNVERIFIED",
      "provenance": "SELF",
      "observation": "DIRECT_TEXT",
      "source_type": "VIDEO",
      "authenticity": "UNVERIFIED",
      "audit_confirmed": false,
      "effective_weight": "0.000000",
      "interpretive_steps": 1
    }
  ],
  "model": "ledger-default@0.3.0",
  "prior": "0.50",
  "variants": {
    "spread": "0.0378",
    "permissive": "0.9972",
    "conservative": "0.9594"
  },
  "code_hash": "sha256:c61a6fdf35a754a0d7e958df149036a083c0eaeb7d2d2e52704ec32b0c36def7",
  "contested": false,
  "stability": "HIGH",
  "claim_type": "OBSERVATIONAL",
  "config_hash": "sha256:86768038080b8ab5233f1e4b7aba10af05b5bb44caa432095150b90e81209809",
  "probability": "0.9892",
  "provisional": true,
  "evidence_sum": "4.518000",
  "snapshot_seq": 10708,
  "prior_log_odds": "0.000000",
  "support_groups": 3,
  "model_dependent": false,
  "review_coverage": "0.50",
  "truth_evaluable": true,
  "assessment_state": "SUPPORTED",
  "review_checklist": {
    "qualifiers_reviewed": {
      "by": [
        "01a0bc4c-7fbc-7ad3-bc0f-6806dd519680"
      ],
      "ok": true
    },
    "opposing_search_done": {
      "by": [
        "01a0bc4c-7f8c-7a35-83c4-6271f2ba29df"
      ],
      "ok": true
    },
    "independence_reviewed": {
      "by": [],
      "ok": false
    },
    "primary_source_reviewed": {
      "by": [],
      "ok": false
    }
  },
  "contradict_groups": 0,
  "rounding_boundary": false,
  "posterior_log_odds": "4.518000",
  "not_applicable_reason": null,
  "independence_unreviewed": 5
}