A feedback loop, sensors, and a goal; boom, AGI. So many people are stuck on AI hallucinations. How many times have you seen something that, for the briefest o

A feedback loop, sensors, and a goal; boom, AGI. So many people are stuck on AI hallucinations. How many times have you seen something that, for the briefest of instants, you thought was something else? "Orange circle on kitchen counter, brain says basketball, but, wait, more context, not a real circle, still orange, furry, oh, a cat; it is my orange cat" and all that takes place faster than you blink. You didn't hallucinate, your brain ran a feedback loop and based on past experiences it filled in details and as those details were validated they stayed (still looking at the kitchen counter, orange thing unexpected) and then some details deviated from brain expectations (the orange ball is not behaving like a ball) and so new context is immediately fed back in and understanding restored. For AGI you have to have a loop with feedback. An LLM is one leg of the stool, now add a way to realize when something it generates is failing to stand up to prior experience or existing need and be able to gather more context so it can test and validate its models. Really, that's how anything learns; how could it be anything else?