> To effectively predict the next token it needs a good idea of what comes after the next token.
And that's all it needs. Not reasoning.
And that's all it needs. Not reasoning.
Babbage’s Analytical Engine didn’t actually analyze anything, and terminology hadn’t gotten any more clear-cut since.
I suspect exact and/or universal definitions for intelligence, self-awareness, 'feelings' etc will prove to be elusive, and best we'll get is systems/robots etc behaving as if possessing those qualities. With some tests to put a number on them.
Downside is that may apply to us humans too.
One of the biggest things I've learned after the event of LLMs is that humans definitions of intelligence/thinking/reasoning/consciousness/etc are very poorly defined. Not just across society at large, but the sciences themselves.
Something like this is actually a stance in the tradition of inferentialism (see the term sapience). Though "reasoning" isn't like, turing machine computability in this space; from what I understand, it's some abstract notion of the "space of reasons". I don't really understand it, honestly.
There's some merit to this, IMO. When an LLM goes wrong, do you blame the person or the LLM? As in, would you throw said LLM in jail, and hold the LLM accountable? Not right now, at least. I'm not sure if that's what is meant by the "space of reasons", but the intuition is that 'reason' can mean a lot of different things, pragmatically speaking. Reason as a legible audit trail is one of those ways.
But that's arguably getting into the social aspect of 'reason' (important!) and not like, what STEM people traditionally think of as 'reason'.
what would be the difference between not reasoning and reasoning not like a human?
I ask it to highlight that most people have no clear answer to what we mean by reasoning. It's a notoriously hard term to define with an precision, and even harder to define by precision in a way that would exclude LLM's, which is usually what the people I ask it of want to do.
I don't think your steelman version really "works" for that purpose because the immediate response would be that it makes "reasoning" largely irrelevant if you define the term that restrictively.
Mistaking chatbot lookahead as reasoning comes with being gulled by the "artificial intelligence" sales pitch.
They are narrow and limited, but still primitive forms of reasoning.