I don't think that LLMs mirror human cognition or "sanity" as much as people want to believe. We are not constantly hallucinating in any way that applies to the term as commonly understood relative to LLMs or to humans. Mistakes, minor psychological changes and emotions aren't equivalent to LLM hallucinations or human psychosis. The relationship is superficial due to both humans and LLMs using natural language. But humans understand that language and its context, whereas LLMs do not.
The narrative exists to justify deskilling and replacing human expertise with LLMs on the premise that LLMs are at worse human equivalent and at best human superior but the hyperbole employed to make the false equivalence sometimes borders on the absurd and occult.
>It wouldn't surprise me if a systematic approach to solve these problems with LLMs could be applied to human/hybrid teams.
What you're describing aren't "problems" that need to be "solved" in human beings. They are problems when they persist in software, but we already had software that didn't have these problems.
This is a state of being that we chose because we decided profit superseded all other concerns.
> I don't think that LLMs mirror human cognition or "sanity" as much as people want to believe.
I don't "want" to believe it given the implications, nor support a profit narrative. That incorrectly assigns a frame of thought that has nothing to do with me and actually opposite to my beliefs.
We do know that a single chemical compound can fundamentally alter our perception of reality. Drugs don't contain hallucinations, they reveal our subconscious brain processes by affecting our awareness and disrupting whatever ends up in our cognition. We are constantly trying to predict what will happen next and compare outcomes to expectations, where errors and confabulations occur constantly. False memories and unreliable eyewitness accounts are a matter of fact. Optical illusions are persistent and repeatable. We're often confidently wrong when recalling memory, deducing from logic, transcribing etc., whether it's for milliseconds or decades. We also dream each night which is technically not "hallucination", but clearly a necessary reality-adjacent process.
If you break the problem down and question our ingrained societal human exceptionalism, it's clear humans actually have no real unshakable "understanding" of anything, we simply have more sensory information and reality testing in real-time to maintain a state of reality alignment. This can be affected at any time by physiological changes from illness to brain injury. Perhaps we currently maintain better context overall (reducing the volatility and frequency of errors), but no animal would exist for long and succeed if it didn't naturally do this one task exceptionally well.
Given the pace of technology and lack of evidence to prove digital machines can't outperform us at this task too, long-term it seems like a matter of time until LLM + ? = human ability superseded. At which point we may have an entirely new tool for neuroscience research, before we even have an agreed definition for consciousness.
This was all evident before LLMs reached the stage they're at now, and progress will continue whether or not companies can capture profit in a hype-bubble. The argument otherwise would be to prove that humans have a deterministic-probabilistic relationship that differs from the technology. I don't have answers but we certainly can't close these open questions when the literature and evidence points more towards similarities.