It appears the true ‘secret genius’ role in “Good Will Hunting” was miscast, as Ben Affleck has emerged as a surprising tech savant. The actor, who earlier this year sold his AI filmmaking startup to Netflix for a reported $587 million, has gained significant online attention this week for showcasing his profound grasp of AI technology, including neural networks and machine learning, in various recent interview segments.
Furthermore, he claims proficiency in writing some Python code.
This week, the celebrated actor explored his fascination with technology during an episode of GQ’s “One More Question” series. He began modestly, stating, “I’ve always been kind of into computers since I was young,” before passionately discussing AI’s evolution in filmmaking, employing advanced AI terms such as machine learning, neural networks, transformers, tensors, GPUs, and inference.
In a widely shared video, Affleck recounted to an astonished interviewer, Zach Baron, how his involvement in this field began with the transition from analog to digital filmmaking. Throughout their conversation, he consistently clarified technical terms to ensure the interviewer’s comprehension.
“I became more interested in that aspect of it, and the visual effects workflow for many years has included machine learning,” Affleck began. “So I can write, like, pretty shitty Python scripts and stuff like that. Because with convolutional neural networks — which were the sort of precursors to what the transformer can do — which is just much more computation simultaneously — 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?”
Despite Affleck’s assertion, understanding these concepts is far from simple, which largely explains why this video has gained such widespread popularity.
The actor proceeded to explain how neural networks facilitate pattern recognition, edge detection, and feature extraction. He illustrated this by describing it as “identifying patterns enough to know — like this is where the window ledge is, so we can more easily take the green screen image out and replace it with something.”
Affleck further confessed to leveraging his celebrity status to gain access to nascent AI technologies, mentioning in a separate video clip that he visited companies like OpenAI. This experience, he noted, eventually guided him toward a more direct involvement in the AI sector.
Continuing the discussion, Affleck detailed how AI can enhance filmmaking without superseding human creativity, which ultimately led to the creation and subsequent sale of his own startup in this field. (He clarified that the reported $587 million valuation is “not right,” as he did not possess full ownership of the company.)
Affleck stated, “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 in this community where there are very fixed, long-standing relationships around likeness and so forth, we had to create our own dataset.” He added, “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.”
Another popular video features Affleck addressing Bloomberg’s Lucas Shaw at the Screentime 2026 conference in L.A. Here, he described his method of fine-tuning AI models: by utilizing open-source models, unfreezing their weights, and then training them to adhere to specific cinematic requirements. This approach allows filmmakers to safeguard their proprietary content while still leveraging the knowledge gained from developing their unique models for individual film projects.
Affleck personally applied this method in his film “Animals,” where AI technology contributed to the post-production efforts.
He also addressed anxieties surrounding AI and its perceived apocalyptic capabilities, but his own concerns were notably more grounded.
Affleck articulated his anxieties, saying, “When I worry about AI, I worry about my kids in school. I worry about the 30% rise in the number of A’s given out at colleges over the last three years. I worry about learned helplessness. I worry about responsible use. I don’t worry about Skynet, and I don’t think that it’s going to take over [the movie] business in any meaningful way. I think it’s going to be additive.”