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Judge rules Apple may expedite access to OpenAI recruiting materials
On October 14, 2026, U.S. District Judge Edward Davila ruled that in the trade secrets lawsuit Apple filed in July, Apple may expedite access to OpenAI's recruiting materials, including lists of Apple employees before interviews, guides, manuals, scripts, and records of presentations involving Apple technology. The court required OpenAI to submit the materials already collected within 5 days and the remaining materials within 14 days, and approved depositions of Chang Liu, Alyssa Peng, and OpenAI Chief Hardware Officer Tang Yew Tan, but denied Apple's request for expedited discovery in R&D areas such as metal surface treatment and power management. On the same day, OpenAI alleged in a supplemental filing that a former employee sent more than one hundred confidential documents involving an unreleased OpenAI device to a personal account, some of which were sent on June 2, 2026, and requested discussion of an investigation plan and, if necessary, filing a counterclaim. An October 15 report said that at a hearing OpenAI voluntarily agreed not to use the trade secrets Apple alleges were stolen during the litigation and promised to forensically image 14 employee devices; the judge said he was likely to grant Apple's preliminary injunction.
On October 14, 2026, U.S. District Judge Edward Davila ruled that in the trade secrets lawsuit Apple filed in July, Apple may expedite access to OpenAI's recruiting materials, including lists of Apple employees before interviews, guides, manuals, scripts, and records of presentations involving Apple technology. The court required OpenAI to submit the materials already collected within 5 days and the remaining materials within 14 days, and approved depositions of Chang Liu, Alyssa Peng, and OpenA
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On October 14, 2026, U.S. District Judge Edward Davila ruled that in the trade secrets lawsuit Apple filed in July, Apple may expedite access to OpenAI's recruiting materials, including lists of Apple employees before interviews, guides, manuals, scripts, and records of presentations involving Apple technology. The court required OpenAI to submit the materials already collected within 5 days and the remaining materials within 14 days, and approved depositions of Chang Liu, Alyssa Peng, and OpenAI Chief Hardware Officer Tang Yew Tan, but denied Apple's request for expedited discovery in R&D areas such as metal surface treatment and power management. On the same day, OpenAI alleged in a supplemental filing that a former employee sent more than one hundred confidential documents involving an unreleased OpenAI device to a personal account, some of which were sent on June 2, 2026, and requested discussion of an investigation plan and, if necessary, filing a counterclaim. An October 15 report said that at a hearing OpenAI voluntarily agreed not to use the trade secrets Apple alleges were stolen during the litigation and promised to forensically image 14 employee devices; the judge said he was likely to grant Apple's preliminary injunction.
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View story:Judge rules Apple may expedite access to OpenAI recruiting materials
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On October 14, 2026, U.S. District Judge Edward Davila ruled that in the trade secrets lawsuit Apple filed in July, Apple may expedite access to OpenAI's recruiting materials, including lists of Apple employees before interviews, guides, manuals, scripts, and records of presentations involving Apple technology. The court required OpenAI to submit the materials already collected within 5 days and the remaining materials within 14 days, and approved depositions of Chang Liu, Alyssa Peng, and OpenAI Chief Hardware Officer Tang Yew Tan, but denied Apple's request for expedited discovery in R&D areas such as metal surface treatment and power management. On the same day, OpenAI alleged in a supplemental filing that a former employee sent more than one hundred confidential documents involving an unreleased OpenAI device to a personal account, some of which were sent on June 2, 2026, and requested discussion of an investigation plan and, if necessary, filing a counterclaim. An October 15 report said that at a hearing OpenAI voluntarily agreed not to use the trade secrets Apple alleges were stolen during the litigation and promised to forensically image 14 employee devices; the judge said he was likely to grant Apple's preliminary injunction.
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View story:Judge rules Apple may expedite access to OpenAI recruiting materials
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OpenAI accuses former employee of providing product plans to Apple
On October 14, 2026, U.S. District Judge Edward Davila ruled that in the trade secrets lawsuit Apple filed in July, Apple may expedite access to OpenAI's recruiting materials, including lists of Apple employees before interviews, guides, manuals, scripts, and records of presentations involving Apple technology. The court required OpenAI to submit the materials already collected within 5 days and the remaining materials within 14 days, and approved depositions of Chang Liu, Alyssa Peng, and OpenAI Chief Hardware Officer Tang Yew Tan, but denied Apple's request for expedited discovery in R&D areas such as metal surface treatment and power management. On the same day, OpenAI alleged in a supplemental filing that a former employee sent more than one hundred confidential documents involving an unreleased OpenAI device to a personal account, some of which were sent on June 2, 2026, and requested discussion of an investigation plan and, if necessary, filing a counterclaim. An October 15 report said that at a hearing OpenAI voluntarily agreed not to use the trade secrets Apple alleges were stolen during the litigation and promised to forensically image 14 employee devices; the judge said he was likely to grant Apple's preliminary injunction.
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View story:Judge rules Apple may expedite access to OpenAI recruiting materials
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OpenAI plans to release hundreds of mathematical results
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.
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 acros
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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
OpenAI discloses annualized revenue of about $50 billion to investors
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.
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 q
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