Building products is all about problem solving, and problem solving and learning are closely related. Problem solving are often a requisite for learning, but if we skimp on the learning part we are doomed to solve the same problems again and again. This is true for both individuals and teams.

We spend much time learning new technologies and methods, but disapointingly little time learning how to learn. Human beings are not very good at assessing their own skill either, and to top it off: "more experience" does not entail "more skill". Sometimes you get more incompetent as time goes by. We should therefore spend a little less time caring about how artificial neural networks learn, and a little more time about how organic neural networks learn.

Kant said: "Experience without theory is blind". We need to answer questions like: What separates mastery from imagined expertise? What factors underlie effective learning? How do we make teams learn?

But Kant also said: "but theory without experience is mere intellectual play". We must ground the theory in our everyday affairs: How do we work with cognitive load? What common practices makes our brains bleed? How do technology affect our ability to learn?