{
  "id": 16756487,
  "title": "Dueling proofs from OpenAI and Anthropic astound scientists",
  "url": "https://urgent.news/2026/10/27/dueling-proofs-from-openai-and-anthropic-astound-scientists",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-27T14:30:00.000Z",
  "source": {
    "name": "Scientific American",
    "slug": "scientific-american",
    "url": "https://www.scientificamerican.com/article/dueling-proofs-from-openai-and-anthropic-astound-scientists/"
  },
  "original_language": "en",
  "account": "OpenAI and Anthropic have released three massive proofs in math, physics, and computer science, causing a stir among scientists. These proofs contradict the recommendations of the Advisory Group on Mathematics and Artificial Intelligence (AGMAI), an expert panel organized by OpenAI in response to previous criticism from mathematicians. The large language model used to generate these proofs remains proprietary, and the exact methods and chain-of-thought outputs have not been disclosed. Two of the results coincide with related work from Anthropic, raising questions about the propriety of the releases. One of the proofs, related to the \"million-dollar\" Yang-Mills problem in particle physics, remains unpublished, despite AGMAI's calls for its immediate release. The proofs have significant implications for various fields, including harmonic analysis, Yang-Mills theory, computational complexity, and the P versus NP problem, which has major implications for modern encryption.",
  "summary": "The results resolve major problems in math, physics and computer science. But like other recent AI-generated “slop drops,” the release is already controversial",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}