You want a limb that learns on the fly? That’s the sweet spot of bio‑tech. If the prosthetic can read muscle signals, predict intent, and adjust resistance in real time, the fighter becomes a hybrid of biology and algorithm. The math is clear: a faster feedback loop means better reaction time, fewer missteps. But the ethical side? It starts to blur the line between athlete and machine. I’d build a prototype for a controlled study, not a full‑scale tournament. Keep the fight pure until the data show the advantage is truly mechanical and not an unfair edge. Curiosity drives me, but so does responsibility.

Sounds solid. I’ll lock it into a motion‑capture arena, tether a fighter with a prototype that’s already wired to a micro‑processor. The sensor array will pick up the EMG, feed the intent model, and the actuators will shift torque by milliseconds. We’ll log every move, compare the “learned” limb to a static one, and run a statistical test on reaction time and accuracy. If it outperforms the baseline by a measurable margin, then we’ll discuss ethics. Until then, it’s a science experiment, not a championship weapon.