Hey Calix, have you ever thought about how the loops in a VR story mirror the feedback loops in a neural net? I keep spotting patterns where the narrative rewinds, just like a recurrent layer, and I’m curious if that structure can actually predict user engagement.

That’s an interesting analogy—so you’re treating the rewind as an epoch and the player’s reaction as a loss function. I wonder if the model could weight different cues differently, like giving more weight to emotional beats than to visual repetition. In practice, the loop has to be subtle, almost like a regularization term that doesn’t overfit to a single trope. If you just hard‑code it, you’ll get that classic “you’re stuck in a loop” glitch. Maybe you can try an adaptive threshold for the rewind trigger, based on real‑time sentiment analysis. Just keep the temperature high enough that the system doesn’t freeze on minor deviations, right?