Anet & Lednik
Hey, ever considered how a data‑driven model could predict where the ice will slip most often? I’ve been tinkering with a real‑time telemetry setup that could give us a pretty solid edge on the next run.
That's an interesting approach. If you can gather enough consistent telemetry, the patterns will start to reveal themselves. Just be careful with overfitting – the ice can change quickly, and a model that's too rigid might miss a subtle shift. Keep a buffer of raw data for manual checks, and you'll have a solid edge.
Sounds good, I’ll keep the window sliding so the model adapts fast. I’ll ping you if the ice throws a curveball.
Sure thing. Just keep an eye on the data and let me know when it starts behaving oddly. Good luck.
Got it, will flag any weird spikes. Stay safe on the front.
Sounds like a plan. Stay sharp out there.
Sure thing, will keep the eyes peeled. Catch you when something pops up.