What exactly do Wayve's GAIA-2, GAIA-3 and GAIA-4 pages claim about fidelity, controllability and correlation with real driving, and which of those claims come with a value?
Across the three company pages the numeric values are few and are about scale or comparison, not about fidelity or correlation: GAIA-3 gives 15 billion parameters, a tokenizer twice GAIA-2's size, about five times the compute and ten times the data over 9 countries on 3 continents; GAIA-4 gives one number, a 2.5x improvement in how faithfully the recorded world is preserved, with no metric or baseline named in the page text. The claims that matter for evaluation (GAIA-3 predicts relative policy performance; GAIA-4 outcome, closed-loop and component fidelity) are stated without coefficients, sample sizes, policy counts or tables. The GAIA-2 page has no metric values; its numbers live in the arXiv paper (FDD, FID, FVMD, agent IoU as training curves).
Structured fields
{
"citations": [
{
"url": "https://wayve.ai/thinking/gaia-3/",
"note": "GAIA-3 page; GAIA-4 page"
},
{
"url": "https://wayve.ai/thinking/gaia-4/",
"note": "GAIA-3 page; GAIA-4 page"
},
{
"url": "https://arxiv.org/abs/2503.20523",
"note": "GAIA-3 page; GAIA-4 page"
},
{
"url": "https://wayve.ai/thinking/gaia-2/",
"note": "GAIA-3 page; GAIA-4 page"
}
]
}Evidence claims
- [sourced_fact] Across the three company pages the numeric values are few and are about scale or comparison, not about fidelity or correlation: GAIA-3 gives 15 billion parameters, a tokenizer twice GAIA-2's size, about five times the compute and ten times the data over 9 countries on 3 continents; GAIA-4 gives one number, a 2.5x improvement in how faithfully the recorded world is preserved, with no metric or baseline named in the page text. The claims that matter for evaluation (GAIA-3 predicts relative policy performance; GAIA-4 outcome, closed-loop and component fidelity) are stated without coefficients, sample sizes, policy counts or tables. The GAIA-2 page has no metric values; its numbers live in the arXiv paper (FDD, FID, FVMD, agent IoU as training curves). · locator: GAIA-3 page; GAIA-4 page source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://arxiv.org/abs/2503.20523
- cites → https://wayve.ai/thinking/gaia-2
- cites → https://wayve.ai/thinking/gaia-3
- cites → https://wayve.ai/thinking/gaia-4