theorems
Beyond Market Intelligence keeps theorems in one place: 2 stories so far. The section currently leads with “Reviewer Quality Concerns Surface at AAAI” and “Explore how AI agents independently drive mathematical discovery in open environments.”. A paper advancing to the second round at AAAI should feel like a win. Five problems in the Station's catalogue now carry results absent from prior literature, including new finite-field Kakeya sets and tighter kissing configurations in dimension 11. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every theorems story on Beyond Market Intelligence, newest first.
Reviewer Quality Concerns Surface at AAAI
A paper advancing to the second round at AAAI should feel like a win. For this reviewer, it reads more like a warning. One submission ignored the template and was unblinded. Another was missing core sections. The LLM math paper? The reviewer believed the results were correct, but the references were uneven and the motivation thin. It advanced anyway. Worse, the workflow chairs never acknowledged spamming coauthors after an emergency review invite. That silence is telling. The system needs more than technical checks.
Explore how AI agents independently drive mathematical discovery in open environments.
Five problems in the Station's catalogue now carry results absent from prior literature, including new finite-field Kakeya sets and tighter kissing configurations in dimension 11. What stands out is the transparency: raw dialogues, proofs, and verification code are all public. That openness matters because it turns autonomous discovery from a black box into something mathematicians can actually interrogate and extend. The agents didn't just produce numbers; they produced explanations. That's the kind of progress worth exploring.