Nothing Phone users can now easily use the ChatGPT voice assistant from the home screen


According to The Information, OpenAI is in talks with a secretive startup specializing in AI video for film, aiming to transfer the previously discontinued Sora, allowing it to be reborn as a professional film tool. This means Sora will shift from a consumer-level toy to an industrial-level tool. OpenAI wants the technology to continue shining without burning money: cutting heavy assets and reducing computing power consumption to focus on enterprise business. This is not the first time Sora has been adjusted.
The Sora that has been inactive for months may return to the market in a roundabout way. According to The Information, OpenAI is negotiating with a stealth startup focused on AI video technology for film production, planning to transfer the now-discontinued Sora, allowing it to re-emerge as a professional film tool. The potential buyers include Hollywood producer Katsberg, former Sora research director Pebbles, and former Dropbox CFO Jasswa.
Per The Information, OpenAI is in talks on an equity deal to license Sora tech to a new AI video startup—reviving the shuttered Sora. Founded by ex-Sora research lead Bill Peebles, DreamWorks co-founder Jeffrey Katzenberg, and ex-Dropbox CFO Sujay Jaswa, the plan gives OpenAI equity plus deep model customization beyond standard API. Talks ongoing.....
On October 12, OpenAI's Tibo announced that the default context window for GPT-6.1Sol in Codex and Work environments has been increased from 272,000 tokens to 500,000 tokens, a rise of about 80%. He stated that the upper limit will continue to be raised in the future, but this adjustment has already significantly reduced the frequency of "context compression" triggers. This mechanism refers to the model being forced to summarize and discard previous content when its capacity is insufficient, which previously troubled heavy code users.
OpenAI has recently released 722 cutting-edge mathematical manuscripts, including two core papers targeting the century-old mathematical problem of Kakutani's conjecture: one focuses on the three-dimensional Kakutani maximal function conjecture, while the other provides a full-dimensional proof for general four-dimensional Kakutani sets. This breakthrough has pushed the boundaries of multidimensional mathematical understanding and has sparked global academic discussions on the role of AI in advancing fundamental scientific research.