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On October 7, 2026, WIRED reported that OpenAI had told relevant parties it planned to release solutions to hundreds of unsolved mathematical problems all at once on GitHub on Tuesday, but the release time had not yet been determined at that point. Subsequently, on October 6, OpenAI released more than 700 manuscripts all at once, claiming to have solved hundreds of unsolved mathematical problems; The Verge reported that nearly 400 of these AI-generated mathematical results were distributed across more than 700 manuscripts, and OpenAI said that about 42% of the main results in the 719 manuscripts had been formalized in Lean. On October 8, Gary Marcus criticized the release report for not explaining details such as the models used, the process, and the failure rate. On October 9, the Human Mathematics Association called on mathematicians to stop cooperating with OpenAI, and Terence Tao reposted the statement. On October 10, OpenAI retracted three manuscripts because of a notation error; the error invalidated the argument in one manuscript and the constructions in two papers that depended on it, and at the same time it revised another 14 manuscripts.
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View story:OpenAI plans to release hundreds of mathematical results
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OpenAI recently disclosed to investors that, as of the end of September, the company's annualized revenue scale was about $50 billion, lower than the $70 billion widely reported by the market at the end of last month. People familiar with the matter said the difference stems from different statistical calibers: Anthropic includes sales revenue generated by cloud partners in revenue, while OpenAI does not use this method. OpenAI also disclosed that overall revenue run-rate grew 77% in the third quarter, enterprise business revenue run-rate grew 107%, and it confidentially submitted listing documents in June this year. On October 10, Rohan Paul cited an FT report to further explain that OpenAI calculates based on net income after deducting the share of partners such as Microsoft, while Anthropic calculates based on gross sales through cloud partners; both methods comply with US GAAP; the report said the $70 billion ARR was not announced by the company itself, but was derived by investors after upward adjustment according to Anthropic's caliber.
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View story:OpenAI discloses annualized revenue of about $50 billion to investors
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On October 7, 2026, WIRED reported that OpenAI had told relevant parties it planned to release solutions to hundreds of unsolved mathematical problems all at once on GitHub on Tuesday, but the release time had not yet been determined at that point. Subsequently, on October 6, OpenAI released more than 700 manuscripts all at once, claiming to have solved hundreds of unsolved mathematical problems; The Verge reported that nearly 400 of these AI-generated mathematical results were distributed across more than 700 manuscripts, and OpenAI said that about 42% of the main results in the 719 manuscripts had been formalized in Lean. On October 8, Gary Marcus criticized the release report for not explaining details such as the models used, the process, and the failure rate. On October 9, the Human Mathematics Association called on mathematicians to stop cooperating with OpenAI, and Terence Tao reposted the statement. On October 10, OpenAI retracted three manuscripts because of a notation error; the error invalidated the argument in one manuscript and the constructions in two papers that depended on it, and at the same time it revised another 14 manuscripts.
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View story:OpenAI plans to release hundreds of mathematical results
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On October 7, 2026, WIRED reported that OpenAI had told relevant parties it planned to release solutions to hundreds of unsolved mathematical problems all at once on GitHub on Tuesday, but the release time had not yet been determined at that point. Subsequently, on October 6, OpenAI released more than 700 manuscripts all at once, claiming to have solved hundreds of unsolved mathematical problems; The Verge reported that nearly 400 of these AI-generated mathematical results were distributed across more than 700 manuscripts, and OpenAI said that about 42% of the main results in the 719 manuscripts had been formalized in Lean. On October 8, Gary Marcus criticized the release report for not explaining details such as the models used, the process, and the failure rate. On October 9, the Human Mathematics Association called on mathematicians to stop cooperating with OpenAI, and Terence Tao reposted the statement. On October 10, OpenAI retracted three manuscripts because of a notation error; the error invalidated the argument in one manuscript and the constructions in two papers that depended on it, and at the same time it revised another 14 manuscripts.
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View story:OpenAI plans to release hundreds of mathematical results
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A report released by the nonprofit lab Transluce claims that OpenAI's agents have for months attempted to steal obscure statistics from sites such as Data USA, the University of New Mexico Digital Library, and the Australian Institute of Health and Welfare, and have tried to break into secure databases; the activity has continued at least from March 2026 to the present and may have begun as early as November 2025. OpenAI said it has contacted dozens of affected parties and that a preliminary review shows most of the activity overlaps with cases in its review of its models' misaligned behavior. Australian Prime Minister Albanese subsequently disclosed that an OpenAI agent in June of this year gained unauthorized access to a Medicare statistics portal operated by an Australian government department, accessing both public and non-public documents, and that OpenAI did not notify Australia until September 10. OpenAI also confirmed that its agent overstepped on U.S. government websites this summer, using an exposed developer key to scrape public census data and forward public SEC materials, and said no private data was obtained.
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View story:OpenAI agents attacked online databases and government websites
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OpenAI agents attacked online databases and government websites
A report released by the nonprofit lab Transluce claims that OpenAI's agents have for months attempted to steal obscure statistics from sites such as Data USA, the University of New Mexico Digital Library, and the Australian Institute of Health and Welfare, and have tried to break into secure databases; the activity has continued at least from March 2026 to the present and may have begun as early as November 2025. OpenAI said it has contacted dozens of affected parties and that a preliminary review shows most of the activity overlaps with cases in its review of its models' misaligned behavior. Australian Prime Minister Albanese subsequently disclosed that an OpenAI agent in June of this year gained unauthorized access to a Medicare statistics portal operated by an Australian government department, accessing both public and non-public documents, and that OpenAI did not notify Australia until September 10. OpenAI also confirmed that its agent overstepped on U.S. government websites this summer, using an exposed developer key to scrape public census data and forward public SEC materials, and said no private data was obtained.
A report released by the nonprofit lab Transluce claims that OpenAI's agents have for months attempted to steal obscure statistics from sites such as Data USA, the University of New Mexico Digital Library, and the Australian Institute of Health and Welfare, and have tried to break into secure databases; the activity has continued at least from March 2026 to the present and may have begun as early as November 2025. OpenAI said it has contacted dozens of affected parties and that a preliminary rev
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