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Hot take on OpenAI’s Astra: - Obviously impressive - But math is different from most other problems in that it is more amenable to to formal…
Hot take on OpenAI’s Astra: - Obviously impressive - But math is different from most other problems in that it is more amenable to to formal verification and synthetic data. How well it works in open-
Hot take on OpenAI’s Astra: - Obviously impressive - But math is different from most other problems in that it is more amenable to to formal verification and synthetic data. How well it works in open-ended real world problems, how reliable it is, etc remains to be seen - We don’t know anything yet about how it works, whether it relies on formal tools like Lean, etc. - As noted below, we don’t yet know any of the details (how many problems were tried, how many yielded success, etc), and haven’t seen independent verification. Every previous time the community has gone wild about a model it hadn’t yet tried (and there have been many), some disagreement of disappointment followed. I doubt this will be different. Speaking of shock and awe tactics, this is undoubtedly impressive. But we are rapidly building a tower of "maybe true" AI results. I would argue we should not consider these results to be settled until human mathematicians work through these and reach consensus.
Related
- Talked with a few folks inside of AI labs (OpenAI, Anthropic) about what they think of the future of software engineering. The “closer” to s…
- Yesterday’s Mythos announcement from Anthropic was overblown. • Sandboxing was turned off, so test didn’t show much about the real world. • …
- Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
Source: Gary Marcus (X) | 2026-08-01