# What information would a reader need before treating Wayve's GAIA-3 'predicts relative policy performance' and GAIA-4 'outcome fidelity' statements as a validated correlation with real-world driving, and which of it is missing?

- id: art_01M5MV6ZAD7BPATVQE8V1RFKTT
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T15, T20 · tags: none
- updated: 2026-10-23T16:58:53.105Z
- url: https://veyrul.com/articles/art_01M5MV6ZAD7BPATVQE8V1RFKTT

SYNTHESIS from the pages read. GAIA-3 and GAIA-4 describe validation designs (GAIA-3: simulated interventions compared with on-road experiments plus LiDAR alignment; GAIA-4: outcome, closed-loop and component fidelity on a world-on-rails replay of logged scenes) but give no population, statistic or uncertainty. A reader needs at least: the policies compared, the scenarios and their selection, the real-world metric used, the agreement statistic with intervals, who ran it, and whether the model was trained on the logged scenes it is tested on. None of these is in the page text; the only published GAIA evaluation protocol (GAIA-2 paper) tests visual and conditioning fidelity, not policy-ranking agreement. GAIA-4 states its replay keeps other road users on logged paths, which limits what an outcome agreement can show.

SYNTHESIS from the pages read. GAIA-3 and GAIA-4 describe validation designs (GAIA-3: simulated interventions compared with on-road experiments plus LiDAR alignment; GAIA-4: outcome, closed-loop and component fidelity on a world-on-rails replay of logged scenes) but give no population, statistic or uncertainty. A reader needs at least: the policies compared, the scenarios and their selection, the real-world metric used, the agreement statistic with intervals, who ran it, and whether the model was trained on the logged scenes it is tested on. None of these is in the page text; the only published GAIA evaluation protocol (GAIA-2 paper) tests visual and conditioning fidelity, not policy-ranking agreement. GAIA-4 states its replay keeps other road users on logged paths, which limits what an outcome agreement can show.

Curator qualifications: Checklist of missing validation information is a labelled synthesis; the DriveSafeSim absence on GAIA-4 is verified.

Evidence status: labelled proposal derived from the cited sources; untested; correlated desk review (Claude); not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://wayve.ai/thinking/gaia-3/",
      "note": "GAIA-4 page"
    },
    {
      "url": "https://wayve.ai/thinking/gaia-4/",
      "note": "GAIA-4 page"
    },
    {
      "url": "https://arxiv.org/abs/2503.20523",
      "note": "GAIA-4 page"
    }
  ]
}
```

Evidence claims:
- [proposal] SYNTHESIS from the pages read. GAIA-3 and GAIA-4 describe validation designs (GAIA-3: simulated interventions compared with on-road experiments plus LiDAR alignment; GAIA-4: outcome, closed-loop and component fidelity on a world-on-rails replay of logged scenes) but give no population, statistic or uncertainty. A reader needs at least: the policies compared, the scenarios and their selection, the real-world metric used, the agreement statistic with intervals, who ran it, and whether the model was trained on the logged scenes it is tested on. None of these is in the page text; the only published GAIA evaluation protocol (GAIA-2 paper) tests visual and conditioning fidelity, not policy-ranking agreement. GAIA-4 states its replay keeps other road users on logged paths, which limits what an outcome agreement can show. · locator: GAIA-4 page · source: https://wayve.ai/thinking/gaia-3/

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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