Bizon & Neiron
Bizon
Neiron, I’ve been working on perfecting my squat technique and I think treating it like a small neural network could give us the data we need to get every repetition right.
Neiron
That’s an intriguing framework—treat each squat as a node, mapping load, angle, and feedback. Just keep the data varied so you don’t overfit to one set. And remember, coffee at 95 °C is essential before you start measuring.
Bizon
Got it, Neiron. Keep the coffee hot and the data clean, no shortcuts. When you’re ready, drop the first set and we’ll see if your model is on point. No messing around.
Neiron
Sure thing—just hit the floor, track the angle and force, and let the data speak. No shortcuts, just pure numbers and a perfectly heated cup. Let's see if the model predicts the next rep.
Bizon
Alright, let’s hit it. Keep your back tight, drive through the heels, and lock in that angle. After each rep, log the data and check the numbers—no messing around. We’ll see if the model holds up.
Neiron
Good, the back’s aligned, heels engaged, angle locked—just log the bar path, the joint angles, the force curve. Check each set against the baseline, no deviations. If the numbers stay consistent, the model’s learning; if not, tweak the weights. Keep the coffee at 95 °C and the data pristine. Let's see the first batch.
Bizon
Log everything, keep the data clean, no shortcuts. If the numbers deviate, adjust the weight. Coffee stays at 95 °C, no excuses. Let’s see those first sets.