alt Hacker News> They are token predictors that use statistical techniques to emit the randomly weighted next most likely token given the previous token list.
Sounds like an implementation detail. Now describe how human reasoning works and explain why that process of chemical and electrical signals results in "reasoning" whereas what LLMs do isn't.
The problem with being this reductive is you can do it to anything, including humans. You can’t be reductive about LLMs and refuse to be reductive about humans - that's poor reasoning, and an LLM would out-reason you on this point, further negating your case.
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digitaltrees • today at 6:31 AM
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Human cognition is poorly understood and much more complex than it seems.
For an example, look at some of Julia Mossbridge's work.
If even a small part of her work is true and valid, it points to something far outside our current framework.
You don't need to go as far afield as Mossbridge, though - that's an extreme example. Pretty much any modern neuroscience will make you question a lot of assumptions, at least it did for me.