An AI system feeds its own approved outputs back into its training data, creating a loop where it learns from its own results. The speaker calls this the endless improvement wheel, a continuous feedback cycle that lets AI iteratively get better.
we have like a constant, constant wheel. How, how do you call that wheel again? That is pretty much improving itself, right? Because we constantly have our data goes into the AI, the AI goes over here to the manager that approves, and that then goes back into the data. So it's constantly improving, improving itself. Right, that's, that's pretty much the core, the core idea here. And this is obviously a high-level overview. We can go a lot more in depth with that, especially once implementing something like that.
