It takes 2 neurons to ride a bike
In this week’s paper, Matthew Cook asks how a computer can control a bicycle without solving the full nonlinear equations of motion, or spending an inordinate amount of time learning through reinforcement learning. Humans seem to learn in a different way: not by deriving equations, and not by crashing thousands of times.
Cook presents a two-neuron network that can ride a simulated bicycle in a desired direction.
Read the annotated version here: https://t.co/hwCZfk8o6B
@pascalkwanten That's literally the definition of tachyons. The interesting question isn't what tachyons are — it's whether they can exist without breaking causality or allowing backwards time travel. You skipped the hard part