Claim
OpenAI's disclaimer stated a general possibility that de-identified product data improved models, not that such data was used to solve this specific problem.
Topics
Not filed under any topic yet.
Assessment
Supported
Main unresolved issue: 2 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:5890d8ef-de50-8276-998d-edd8b36b9121
Not yet independently audited.Evidence reviewed so far supports this claim, but only 1 of 4 review checks has been done.
Why?
Strongest counted support: OpenAI says it may process deidentified, anonymized, or aggregated information to improve its systems and services. weight 1.800000 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 Supported to Unresolved.
0.8581 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 1 of 4 · stability MEDIUM · 2 sources, 1 independent lineage
How the number was reached
| Link | Working | Weight | Counted as |
|---|---|---|---|
| 19d16002 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 |
| 63dc1ba6 qualify | 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 | 0.000000 (non directional) |
prior 0.50 → log-odds 0.000000 + 1.800000 (the counted weights) = 1.800000 → probability 0.8581
Your view
Registered views
Nobody has registered a view yet.
Evidence for
-
From OpenAI Data Processing Addendum Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Evidence against
None.
Qualifications
-
From Some thoughts on the Navier–Stokes Millennium Prize Problem Read 2026-09-28 Relevance DIRECT Steps 0 Counted
The target should not be read as evidence that de-identified usage data actually contributed to this particular proof.
Suppressed as dependent
None.
Inferences
Concluded from
None.
Used as a premise in
None.
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 |
|---|---|---|
| b36b9121 | NARROWS | 7c6c0575 |
| 65dbc05d | NARROWS | b36b9121 |
Review checklist
Review checks: 1 of 4
| Check | Done | By |
|---|---|---|
| qualifiers reviewed | no | |
| opposing search done | no | |
| independence reviewed | no | |
| primary source reviewed | yes | 19d16002 |
Summary
Supported. The main support is: OpenAI says it may process deidentified, anonymized, or aggregated information to improve its systems and services. f06b1e39
Qualifier: The disclaimer denies specific user-data access for solving while preserving only a general possibility of model improvement. 712a9ff2
A narrower version of this claim is supported. 65dbc05d
A search for evidence in the opposing direction found something; see the counted evidence. 3c448fd0
Review checks: 1 of 4. coverage:5890d8ef-de50-8276-998d-edd8b36b9121
Contribution history
| seq | event | detail |
|---|---|---|
| 7764 | APPENDED | |
| 7765 | ACCEPT | AUTOMATIC_AFTER_VALIDATION |
| 7768 | TASK_RESULT | by 1efd24fe (accepted) |
| 8430 | TASK_RESULT | by 1efd24fe (accepted) |
Score trace
{
"claim": "5890d8ef-de50-8276-998d-edd8b36b9121",
"links": [
{
"link": "a142e920-6c1b-816a-81b9-a99319d16002",
"group": null,
"edition": "NAMED_OR_UNRELATED",
"evidence": "abfffa21-c776-8014-a493-cb49f06b1e39",
"direction": "SUPPORT",
"magnitude": "1.800000",
"relevance": "DIRECT",
"extraction": "UNVERIFIED",
"provenance": "INDEPENDENT",
"observation": "DIRECT_TEXT",
"source_type": "LEGAL_DOCUMENT",
"authenticity": "UNVERIFIED",
"audit_confirmed": false,
"effective_weight": "1.800000",
"interpretive_steps": 0
},
{
"link": "f6fc9f8b-4155-8b6d-b7bd-1e0c63dc1ba6",
"group": null,
"reason": "non_directional",
"edition": "NAMED_OR_UNRELATED",
"evidence": "32fe3ef0-3d25-83cf-becf-15fe712a9ff2",
"direction": "QUALIFY",
"magnitude": "1.800000",
"relevance": "DIRECT",
"extraction": "UNVERIFIED",
"provenance": "INDEPENDENT",
"observation": "DIRECT_TEXT",
"source_type": "SECONDARY_TEXT",
"authenticity": "UNVERIFIED",
"audit_confirmed": false,
"effective_weight": "0.000000",
"interpretive_steps": 0
}
],
"model": "ledger-default@0.3.0",
"prior": "0.50",
"variants": {
"spread": "0.1331",
"permissive": "0.9121",
"conservative": "0.7790"
},
"code_hash": "sha256:c61a6fdf35a754a0d7e958df149036a083c0eaeb7d2d2e52704ec32b0c36def7",
"contested": false,
"stability": "MEDIUM",
"claim_type": "TEXTUAL",
"config_hash": "sha256:86768038080b8ab5233f1e4b7aba10af05b5bb44caa432095150b90e81209809",
"probability": "0.8581",
"provisional": true,
"evidence_sum": "1.800000",
"snapshot_seq": 8431,
"prior_log_odds": "0.000000",
"support_groups": 1,
"model_dependent": false,
"review_coverage": "0.25",
"truth_evaluable": true,
"assessment_state": "SUPPORTED",
"review_checklist": {
"qualifiers_reviewed": {
"by": [],
"ok": false
},
"opposing_search_done": {
"by": [],
"ok": false
},
"independence_reviewed": {
"by": [],
"ok": false
},
"primary_source_reviewed": {
"by": [
"a142e920-6c1b-816a-81b9-a99319d16002"
],
"ok": true
}
},
"contradict_groups": 0,
"rounding_boundary": false,
"posterior_log_odds": "1.800000",
"not_applicable_reason": null,
"independence_unreviewed": 2
}