it's been too long and you know it
@skells The simple way that I think of it is this:
Everything exists in a multidimensional space. Each move in a chess game, pixels that looks like a picture of a cat, the value and location to sell a product, all follow this format.
Some subset of that space is defined as optimal behavior based on set criteria. Finding that space is learning, being deeper within that space is more intelligent behavior.
This ends up being a kind of problem that can be tackled without thinking about intelligence. But, thinking about how humans and animals tackle this problem can be really helpful too, such as neural networks. Neural networks are really easy to parallel compute, but it was a feat of mathematics to understand how applying back propagation would allow for training several layers of neurons. And the fact that single layer neurons have limitations to what they can learn, is also a mathematical fact.