Not parent poster, but I'd approach it as:
1. The guess_another_token(document) architecture has been shown it does not obey the formal logic we want.
2. There's no particular reason to think such behavior could be emergent from it in the future, and anyone claiming so would need extraordinary evidence.
3. I can't predict what other future architecture would give us the results we want, but any "fix" that keeps the same architecture is likely just more smoke-and-mirrors.
... Consider this exchange:
Alice: "Bob, I know you're very proud about your neural network calculator app, but it keeps occasionally screwing up with false algebra results. There's no reason to think this new architecture will reliably do all the math we need."
Bob: "How dare you! What algebra have humans been verified to always succeed-at which my program doesn't?! Huh!? HUH!?"
___________
Bob's challenge, like yours, is not relevant. The (im)perfection of individual humans doesn't change the fact that the machine we built to do things for us is giving bad results.
It's not irrelevant, because this is an argument about whether the machine can be said to be reasoning or not.
If Alice had concluded that this occasional mistake NN calculator was 'not really performing algebra', then Bob would be well within his rights to ask Alice what on earth she was going on about.
> If Alice had concluded that this occasional mistake NN calculator was 'not really performing algebra', then Bob would be well within his rights to ask Alice what on earth she was going on about.
No, your burden of proof here is totally bass-ackwards.
Bob's the one who asked for blind trust that his magical auto-learning black-box would be made to adhere to certain rules... but the rules and trust are broken. Bob's the one who has to start explaining the discrepancy, and whether the failure is (A) a fixable bug or (B) an unfixable limitation that can be reliably managed or (C) an unfixable problem with no good mitigation.
> It's not irrelevant, because this is an argument about whether the machine can be said to be reasoning or not.
Bringing up "b-b-but homo sapiens" is only "relevant" if you're equivocating the meaning of "reasoning", using it in a broad, philosophical, and kinda-unprovable sense.
In contrast, the "reasoning" we actually wish LLMs would do involves capabilities like algebra, syllogisms, deduction, and the CS-classic boolean satisfiability.
However the track-record of LLMs on such things is long and clear: They fake it, albeit impressively.
The LLM will finish the popular 2+2=_, and we're amazed, but when we twiddle the operands too far, it gives nonsense. It answers "All men are mortal. Socrates is a man. Therefore, Socrates is ______", but reword the situation enough and it breaks again.
Seems to fall apart at 1
>1. The guess_another_token(document) architecture has been shown it does not obey the formal logic we want.
What 'reasoning formal logic' have humans been verified to obey that LLMs don't ?