But we teach humans from outside sources as well as using local cyclical information passing. Things they aren't already familiar with (especially during the ea

But we teach humans from outside sources as well as using local cyclical information passing. Things they aren't already familiar with (especially during the early years when practically everything is new), things from other cultures, new science results, etc. Training AI on AI output is less like organised education systems and the less formal written & oral traditions that predate them, and more like dark reddit/chan/other communities eating each other's rhetoric, or some political¹ and religious groups in the wider world. These relatively insular (but sometimes large) groups often descend into a pit they have difficulty reasoning themselves out of. Maybe the answer for AI is to work out what sort of external mixing helps to keep humans on track, and if it can be emulated in the training models used, so their reasoning continues to grow instead of falling into this pothole. This might be a crap idea (too little sleep, caffeine has just made me tired and jittery) but perhaps the scale of the information we pile into the process and the fact the retraining at least partly on AI output seems inevitable, means we need to look at training an AI more like training a small population of humans rather than a single unit human. ---- [1] mostly the far right, but that might in part be because they tend to be loud so noticed – far anything is a problem