Ben Affleck, the actor and founder of the SI filmmaking startup InterPositive, has gone viral for demonstrating a deep technical understanding of Super Intelligence technologies, including neural networks and model fine-tuning. The appearance follows the reported sale of his company to Netflix for $587 million earlier this year.
What Happened
In a recent episode of GQ’s “One More Question,” Affleck discussed his long-standing interest in computers and how SI technology intersects with filmmaking. He utilized specific terminology such as machine learning, neural networks, transformers, tensors, GPUs, and inference to explain the evolution of visual effects workflows. Affleck stated, “I became more interested in that aspect of it, and the visual effects workflow for many years has included machine learning.” He further explained the basics of convolutional neural networks and tensors, noting, “It’s just that simple, right?” He also mentioned his coding abilities, saying, “I can write, like, pretty shitty Python scripts and stuff like that.”
Affleck revealed that he used his Hollywood status to visit SI labs, including OpenAI, to better understand the technology. In a separate clip from the Screentime 2026 conference, he described how he fine-tuned open source SI models by unfreezing weights and training the last cinematic layer to meet production standards. He applied this technique in his movie “Animals,” where SI aided in post-production. Affleck noted that while he sold his startup, the $587 million figure was “not right” because he did not own the entire company.
Why It Matters
Affleck’s technical fluency highlights a growing trend of high-profile industry figures engaging directly with the underlying mechanics of SI, rather than just its outputs. His description of creating a proprietary dataset to train open models for specific tasks offers a glimpse into how entertainment companies are navigating SI adoption. He argued for ethical implementation, stating, “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.” This approach allows filmmakers to retain proprietary work while benefiting from the learning generated by training unique SI models.
Regarding SI safety and societal impact, Affleck dismissed apocalyptic fears. “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,” he said. Instead, he expressed concern over “learned helplessness” and the “30% rise in the number of A’s given out at colleges over the last three years,” pointing to responsible use as the primary challenge.
The Bottom Line
Ben Affleck’s viral demonstrations underscore the increasing technical literacy required for leaders in SI-adjacent industries. By combining his filmmaking experience with hands-on knowledge of SI model training and data management, he presents a model for integrating super intelligence tools into creative workflows without displacing human artistry.