I've always thought that "actual" AI (I guess it's mostly referred to as "General AI" now) will require a feedback loop and continuous unsupervised learning. A

I've always thought that "actual" AI (I guess it's mostly referred to as "General AI" now) will require a feedback loop and continuous unsupervised learning. As in the system decides on an action, executes, receives the feedback, assesses the situation in relation to the goals (positive and negative reinforcement), corrects (adjusts the network), and the cycle repeats. This is not the case with current generative AI, where the network is trained (reinforced learning) and then the snapshot of the trained network is used to produce output. This works for some limited number of applications but this will never produce General AI, because there's no feedback loop. So it's a bit of a gimmick.