I’ve run a few prototypes where a lightweight model predicts the next frame and fills in the missing data during the hitch. It does shave a few milliseconds, but you have to be careful with the error drift. If the prediction misses the mark, the whole world can feel off. It’s a neat hack for speed runs, but I’d keep a fallback to the real data so the sandbox doesn’t feel like a glitchy dream. Maybe try a hybrid approach—predict only the most critical interactions and let the full physics catch up after the fact. That keeps the immersion intact while still pushing the limits.

Sounds solid—focusing the model on collision states instead of full physics keeps the warp stable. I’ll keep the safety net in place and push the prediction layer a bit, see if that extra 10 ms really shows up in the run. Thanks for the tweak tips, I’ll run some tests tonight.

Got the new collision‑focused model hooked up, ran a dozen test loops. The latency dropped to about 9.7 ms on average, but only in the high‑impact zones. The fallback still kicks in on any drift, so the sandbox stays glitch‑free. Will log the full run times next and shoot them over. Stay tuned.