While garbage in, garbage out may seem like a bad policy to the user, to the AI system, it means that it can have a closed feedback loop, where the final code (

While garbage in, garbage out may seem like a bad policy to the user, to the AI system, it means that it can have a closed feedback loop, where the final code (the solution) can be linked to the initial input, regardless if the input was garbage or not. I would say that anything that can be stated as a large-scale supervised reinforced learning problem is a gold mine -- if the output of course, has value and supervision is free. Tesla self-driving and Comma.ai, from an eagle's eye view, exploit the same concept.