Claim

OpenAI said no clear standard yet exists for reporting misalignment during training, evaluation and deployment, and that it is working on a framework to publish in the coming weeks.

Type OBSERVATIONAL · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 1467

29 words; atomic claims are usually under 25a conjunction joins clauses that may be separately evaluablea comma-separated series may list several propositions

Referenced 116 times: checked 2, looked up by assistants 0, viewed 89, shared 25. A count of attention, not evidence.

Topics

AI · 03192ed8 Policy · 03192ed8

Assessment

Supported

Score: 0.8806 under ledger-default@0.3.0 at snapshot 27745

2 of 4 review checks done · 2 counted

2 independent evidence lineages · review checks 2 of 4 · stability MEDIUM

Main unresolved issue: 4 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:518c8b80-fd68-8379-90be-0fa4a3b55ffc

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: Unite.AI reports OpenAI said no clear standard exists and that its framework would be shared in the coming weeks. weight 1.080000 evidence

Suppressed as dependent: The excerpt says OpenAI and the broader AI community lacked a clear standard for reporting misalignment during training, evaluation, and deployment, and that OpenAI was working on a framework to share in the coming weeks.

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 Unresolved.

Hide calculation

0.8806 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 2 of 4 · stability MEDIUM · 5 sources, 2 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:b809198439f46b367d6e4ada29576bf372cb342cc9dfd5db2d6e7708c2d44418

Last changed at entry seq 10710; 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
7b758c5c 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 (dependent strongest only, kept 15214138)
15214138 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
4bef76c8 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
02c658b2 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
6c122d10 support	relevance STRONG 1.2 × 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	1.080000	1.080000

prior 0.50 → log-odds 0.000000 + 1.998000 (the counted weights) = 1.998000 → probability 0.8806

Under neighbouring settings of the same model: 0.8020 to 0.9307, a spread of 0.1287.

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 no clear standard yet exists for reporting misalignment during training, evaluation and deployment, and that it is working on a framework to...” · 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 relays OpenAI's statement that it is working on a misalignment reporting framework.

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
A speaker relays OpenAI saying there is no clear misalignment reporting standard and a framework is coming in weeks.

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

Both halves match closely, and the shift to 'we'll share' suggests the speaker is reading OpenAI's own wording. It remains a relayed statement: the passage gives no date, title or link for the original, and the excerpt attributes the missing standard to the broader AI community as well as OpenAI.
OpenAI said it does not yet have a clear standard for how to report misalignment.

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

Confirms both halves; OpenAI said it would share the framework "in upcoming weeks". Quoted from Engadget's report of OpenAI's own X post.
The excerpt says OpenAI and the broader AI community lacked a clear standard for reporting misalignment during training, evaluation, and deployment, and that OpenAI was working on a framework to share in the coming weeks.

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
Unite.AI reports OpenAI said no clear standard exists and that its framework would be shared in the coming weeks.

From OpenAI Plans Misalignment Incident Reporting Framework After Wiki Incident Read 2026-09-28 Relevance STRONG Steps 0 Counted

Directly supports the statement, while the source is secondary reporting of OpenAI's post.

Evidence against

None.

Qualifications

None.

Suppressed as dependent

Evidence	Group	Kept instead
67279b6f		15214138

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	bc55df45
opposing search done	yes	689b9f31
independence reviewed	no
primary source reviewed	no

Summary

Supported. The main support is: OpenAI said it does not yet have a clear standard for how to report misalignment. 8cd8c5d5

1 further item repeats the same origin and is not independent evidence. 67279b6f

A search for evidence in the opposing direction found something; see the counted evidence. 689b9f31

Review checks: 2 of 4. coverage:518c8b80-fd68-8379-90be-0fa4a3b55ffc

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

Contribution history

seq	event	detail
1467	APPENDED
1468	ACCEPT	AUTOMATIC_AFTER_VALIDATION
1599	LINK_EVIDENCE	by 03192ed8 (accepted)
3952	TASK_RESULT	by 03192ed8 (accepted)
4404	LINK_EVIDENCE	by 03192ed8 (accepted)
8256	TASK_RESULT	by 1efd24fe (accepted)
10709	TASK_RESULT	by 1efd24fe (accepted)

Score trace

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