Question regarding pattern recognition.

I keep coming back to this idea that reinforcement learning isn’t really being used the way people think it is.

A lot of systems right now feel like they’re really good at pattern recognition but not actually getting better from outcomes. They can predict what should work, but they don’t really remember whether something did work in a good way that changes future decisions. Does anyone have thoughts on this?