OpenAI Plans to Restart Sora Through Equity Cooperation, Shifting to the Hollywood Professional Film Production Market

According to The Information's exclusive report, OpenAI is discussing a major plan to authorize the Sora technology to a new AI video startup through equity partnerships, reviving the previously shut down Sora.

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The startup was co-founded by Bill Peebles, former Sora research leader, Jeffrey Katzenberg, co-founder of DreamWorks Animation, and Sujay Jaswa, former CFO of Dropbox. According to the current negotiation plan, OpenAI will grant the startup access to deep customization of the underlying model beyond standard APIs in exchange for a portion of the company's equity (both parties are still negotiating core details such as model weights). This marks a shift in Sora's commercialization strategy from a consumer-facing general-purpose product to a B-end ecosystem targeting Hollywood and professional film production markets.

Previously, Sora underwent significant strategic adjustments: it was launched in February 2024, went live in December, and planned to release Sora2 in 2025. However, due to high computing costs and OpenAI focusing resources on ChatGPT, coding, and enterprise-level AI as core businesses, the Sora web and app were shut down on April 26, 2026, and the related API was also closed on September 24, even preventing a potential $1 billion investment from Disney.

This lightweight revival plan allows OpenAI to leverage existing technological assets without diverting core large model resources, while also sharing future commercial returns. It also explores new possibilities for the application of AI video technology in specialized vertical fields.

OpenAI Wants to Revive Sora: Hand It Over to the Katsberg Team for Professional Film Tools

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.

Will Sora Return? OpenAI Plans to Hand Over the Model to Katsberg's Startup, Shifting to a Professional Film Tool Approach

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.

OpenAI Expands Memory for GPT-6.1 Sol: Default Context Window Up to 500,000 Tokens, Long Texts No Longer Charged Separately

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 Releases 175-Page Four-Dimensional Proof Manuscript, Solving a Century-Old Mathematical Problem

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.

OpenAI Releases a Large Number of Mathematical Research Achievements, Causing a Shock in the Academic Community; Scholars Worry About Disrupting the Tradition of Academic Collaboration

OpenAI released more than 700 mathematical research papers generated by its internal cutting-edge AI model, sparking widespread attention and heated discussions in the mathematics community. Some scholars are excited about the breakthroughs of AI in the field of mathematics, while experts worry about its impact on the academic ecosystem and young researchers. Young researchers' achievements are being affected, and data security is being questioned. Professor Bakmester from New York University criticized OpenAI for releasing such a large amount of research results at once.