Evidence item
The source confirms the 100,000-chip Astra training context and a separate general compressed-model claim, but does not establish the asserted speed objection or Astra-specific distillation. DIRECT_TEXT
Source: Emad Mostaque: OpenAI solved a Millennium Prize problem with 10,000 agents in 88 hours · locator {} · excerpt hash sha256:e5671efd1f74cc1061e785934e3c1446bb516fe03449a34b71f76db45e1e4c01
Exact excerpt
The article says the training run behind GPT6 Astra used more than 100,000 Nvidia chips and about a billion dollars of compute over roughly two months. Separately, in its discussion of model distribution, it reports Mostaque describing a model compressed to about six gigabytes that could spread across laptops and phones. The article does not say that Astra’s observed serving speed was mathematically impossible or that Astra specifically was distilled from a larger model.
Linked claims
| Claim | Direction | Relevance | Steps | Counted |
|---|---|---|---|---|
| e577e90f | QUALIFY | MODERATE | 1 | yes |
Audits
None.