2026-08-03-Mon · OpenAI · Anthropic

From Issue 3 (2026-08-03) · 10 stories in this issue

❯ OpenAI’s Unreleased Astra Solves Ten Math Problems; Anthropic Researcher Says Fable Reproduced Five

PRE-RELEASE SCOREAccording to OpenAI’s official website, on August 1 the company released 10 results in mathematics and theoretical computer science, all produced by an internal version of Astra — the name of its next-generation model family, not yet released. The covered areas include high-dimensional geometry, group theory, operator algebras, circuit complexity, quantum complexity, and lattice cryptography. OpenAI says the core conclusion of each main problem had seen no progress for at least a decade, and estimates the token cost of running all ten problems at roughly $2,000 at Sol API pricing.

HALF MATCHEDThe awkward echo came 24 hours later. According to his posts on social platforms, Anthropic researcher Levent Alpöge said that Claude Fable, already publicly available, reproduced five of them — completed autonomously with generic prompts, entirely offline, and isolated to keep OpenAI’s published solutions from leaking into the context; of the five, only one followed a substantially identical argument path. Alpöge is no bystander — in July he had just used Fable to find a counterexample to the 1939 Jacobian conjecture, which had already stirred a round of debate in the math community. OpenAI has not yet responded to the reproduction claim, which currently lacks independent third-party verification.

THINNING MOATWhat this really weighs on is the marketing valuation of an unreleased model. If a model already on the shelf — callable by anyone — can chew through half the list in a day, the premium on that four-character phrase, “internal version,” gets shaved off by a large chunk. Enterprise buyers will next weigh the cost difference on the same problem, not who solved it first — the roughly $2,000 compute bill OpenAI disclosed will shape budget approval more than “unsolved for a decade.” The math community’s stance is calmer: a proof’s credibility awaits peer review, not two companies trading results on social platforms.

signal: The lead window has narrowed from “one model generation” to “one day” — first-mover advantage no longer warrants its own pricing.