genetic programming

In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. Essentially GP is a set of instructions and a fitness function to measure how well a computer has performed a task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. It is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.

Is this really a real thing? how do you even generate and mutate programs?

>>7
It did in 37 gates what would have taken a human thousands to do (by implementing loops apparently based on induction rather than using a clock) and you don't find that interesting?

magnetic fields shouldn't interfere
You realize that this is an optimization method, right? That's like God complaining that cells need oxygen for respiration and insisting that everything be anaerobic. We'd never have gotten past bacteria in that case. Go back to /g/ if you can't appreciate such interesting things, since it's clear you don't want anything that can't be shit out in python in ten lines.