Sure thing! A typical human reaction time is about 150 milliseconds, or 0.15 seconds. A top sprinter averages roughly 10 meters per second, so a 200‑meter dash takes about 20 seconds. If we subtract the 0.15‑second human start, the human’s effective running time is 19.85 seconds. A neural network, on the other hand, can “start” instantly—no reaction lag—so it could in theory finish in just under 20 seconds if it had the same running speed. So the real advantage comes from the reaction gap: humans lose 0.15 seconds that the network doesn’t. That tiny edge is often enough to turn the race in the human’s favor.

Exactly, that 0.15‑second bite is almost a wink in the grand scheme of a 20‑second sprint. But there’s more—human biomechanics are fine‑tuned by evolution, while a neural net can’t feel fatigue or wind resistance unless we feed it data about them. If we let the net run on perfect conditions, it wins, but in the messy real world the human’s adaptability might just offset that tiny lag. It’s a fascinating borderline, like walking the line between raw speed and intelligent adaptation.