Meta's generative video/image models will ultimately be wired to engagement signals like likes and views, so the real end goal isn't video generation itself but generating content engineered to trigger dopamine and keep users returning.
Nathan predicts Meta will connect its new generative video models (like Muse Spark) to engagement data so content is optimized to maximize dopamine response, arguing video generation is merely 'a prerequisite' to a full dopamine-generation engine. ✦ AI generated
Nathan · The Cognitive Revolution · 2026-07-08 · original ↗
starts at this moment · 88:12
Facebook is going to basically wire this to their um to the likes and the viewing and like who likes what and basically and this is what we've expected from the beginning. dopamine wire, you know, humanity to a model and have that model spit out things that, you know, cause dopamine and cause people to keep coming back to Facebook.
verbatim transcript · starts at 88:12
88:12which is their uh next generation uh image model and one of the comment and the the next generation video model is coming out soon. Uh, one of the commentaries online is that Facebook is going to basically wire this to their um to the likes and the viewing and like who likes what and basically and this is what we've expected from the beginning. dopamine wire, you know, humanity to a model and have that model
88:45spit out things that, you know, cause dopamine and cause people to keep coming back to Facebook. So, and and that is maybe a signal that no other firm has as much as Facebook. I mean, other I I think Facebook and Tik Tok, right? These are two um and I think the video model, the video gen is just the starting point for the dopamine gen, right? Right? Like the
89:09the video gen is kind of a prerequisite to the dopamine uh generator. Uh but the dopamine generator is coming, right? And and that's the ultimate goal. Ultimate goal is not a video gen. The ultimate goal is dopamine gen, right? >> Yeah. Uh mixed feelings on that to put it mildly. But um >> every everyone everyone is scared of meta, right? like when when Meta decides to go for it because I think I think
89:36people in the industry kind of know what is possible but what most people most researchers have not focused on and you know having researchers focus on that or having the best researchers focus on that is something that is scary I think so but you know people have been talking about it for a while right it's not it's It's not it's not exactly, you know, a new idea.
90:06>> Yeah. Well, we've seen a version of it, right? I mean the the the sort of 40 sycopants, the the sycopant aocalypse uh was at least in part driven by a perhaps you know naive would be probably harsh but a less sophisticated than it needed to be use of the thumbs up thumbs down signal in chat GBT that fed back into uh post training process and obviously
- ·Meta will wire generative video models to engagement data
- ·Signals include likes, views, and who likes what
- ·Goal: optimize content for maximum dopamine response
- ·Video generation itself isn't the real end goal
- ·Model trained on human engagement patterns, not just video quality
- ·Output engineered to trigger dopamine and drive return visits
- ·Nathan: this outcome was expected 'from the beginning'