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AI NewsNetflix may have paid $600 million for Ben Affleck’s AI startup

Netflix may have paid $600 million for Ben Affleck’s AI startup

5:00 AM IST · March 12, 2026

Netflix may have paid $600 million for Ben Affleck’s AI startup

Last week, Netflixannouncedthe acquisition of InterPositive, an AI company co-founded by Ben Affleck that helps filmmakers edit footage in post-production. This deal could be worth up to $600 million,according to Bloomberg, potentially ranking it among the streaming giant’s largest acquisitions ever. The most Netflix has ever paid for a single acquisition was approximately$700 millionfor the Roald Dahl Story Company. While Netflix has not publicly confirmed the details, sources tell Bloomberg that the actual cash payment may be lower, with the owners of InterPositive eligible for additional payouts tied to specific performance targets. InterPositive makes tools that help filmmakers work more efficiently in post production — addressing continuity issues or enhancing scenes, for example — but it doesn’t generate new content or use footage without permission. This acquisition fits Netflix’s broader push to integrate AI into content production. The company has alreadyused generative AIin its original shows and movies, including to create a building-collapse scene in the Argentine series “The Eternaut.” Rivals are moving in the same direction.Amazonis building in-house AI teams for film and TV projects, whileDisneyhas struck a deal with OpenAI. Not everyone is on board. Workers across the film industry have raised concerns about potential job losses and whether AI companies are compensating creators fairly for training data.

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The ‘Father of the Internet’ is finally retiring

The ‘Father of the Internet’ is finally retiring

Vinton Cerf will step down from his role as Google’s chief internet evangelist next week, marking the conclusion of one of the most influential careers in technology history. While speaking via video feed at theOpen Frontier conferencehosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture. “Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room. Google did not respond to a request for comment by publication time. Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, anda Turing Award, among other honors. Since 2005, Cerf has served as vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.) Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products. Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back toward standardized protocols. “The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said. If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars. While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required. “I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said. “Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.” In a more lighthearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s. “He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the ’70s.” “It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”

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