They apparently cast the wrong lead in Good Will Hunting. Because as it turns out, Ben Affleck is the secret genius.
The actor โ who earlier this year sold his AI filmmaking startup to Netflix for a reported $587 million โ has gone viral this week after demonstrating a surprisingly deep command of AI technology, neural networks, machine learning, and more across several recent interviews.
He can even write a little Python, he says.
Affleck Nerds Out on Neural Networks
Affleck delved into his long-standing interest in technology most recently on an episode of GQ's "One More Question" series, where he began humbly: "I've always been kind of into computers since I was young." From there, he launched into a detailed discussion of how AI development relates to filmmaking, casually dropping terms like machine learning, neural networks, transformers, tensors, GPUs, and inference.
In a clip that's now making the rounds, Affleck explains to an impressed interviewer, Zach Baron, that he first got into the space when analog film gave way to digital. Throughout the conversation, he paused to define his terms so the interviewer could follow along.
"I became more interested in that aspect of it, and the visual effects workflow for many years has included machine learning," Affleck said. "So I can write, like, pretty shitty Python scripts and stuff like that. Because with convolutional neural networks โ which were the sort of precursors to what the transformer can do, which is just much more computation simultaneously โ you would do things like, look at what's called a tensor, which is just the numerical translation of a visual image, in numbers like the batch number, the frame number, the red, green, and blue values of each pixel in each frame, and how many? It's just that simple, right?"
No, Ben Affleck, it is not just that simple โ which is precisely why this video is going viral.
The actor then explained how neural networks were used for pattern identification, edge detection, and feature extraction โ which he described as "identifying patterns enough to know โ like, this is where the window ledge is, so we can more easily take the green screen image out and replace it with something."
Using Star Power to Get a Front-Row Seat to AI
Affleck also admitted that he has occasionally leveraged his Hollywood status to get a peek at emerging AI technology. OpenAI was among the companies he visited, he said in a separate clip, which ultimately helped him understand how he could get more directly involved in the AI space.
As the interview continued, Affleck explained how AI can assist with filmmaking without replacing it โ an insight that led to the development and eventual sale of his own startup in the space. (He claims the $587 million figure is "not right," noting that he didn't own the entire company.)
"I gambled on this notion that in order to do this in an ethical way and in a way that could take this technology and actually make it work hand in glove with artists โ in this community where there are very fixed, long-standing relationships around likeness and so forth โ we had to create our own dataset," he said. "So I raised the money. I shot for about eight months with a lot of cameras and a lot of equipment, and created a dataset that would serve as late-stage training for open models to do discrete tasks, sort of where the training code, the inference code, were related to one another and geared toward actual specific tasks that would generate value."
Fine-Tuning Models, the Affleck Way
In another clip that's also going viral, Affleck spoke with Bloomberg's Lucas Shaw at the Screentime 2026 conference in Los Angeles, where he described how he fine-tuned AI models by taking open source models, unfreezing the weights, and then teaching them to meet certain cinematic standards โ an approach that reflects the growing convergence of machine learning engineering and creative production.
As the film industry continues to grapple with how generative AI fits into its future, Affleck's technical fluency โ and his willingness to build rather than simply commentate โ has set him apart. Whether he's writing scrappy Python scripts or raising capital to build proprietary datasets, the actor-turned-technologist is making it clear that his interest in AI goes well beyond the red carpet.
via TechCrunch AI