Discussion about this post

User's avatar
David Hsing's avatar

I go by a much simpler explanation. LLMs, and machines in general, can't refer to anything at all.

Linguistics POV1:

If entity E couldn't refer to a specific item X, then how could it reason _about_ X?

https://davidhsing.substack.com/p/why-neural-networks-is-a-bad-technology

Linguistics POV2:

Searle had already demonstrated how Syntax is insufficient for semantic. You can't ever reason by syntax. This is my variation of Searle's CRA:

======

You memorize a whole bunch of shapes. Then, you memorize the order the shapes are supposed to go in so that if you see a bunch of shapes in a certain order, you would “answer” by picking a bunch of shapes in another prescribed order. Now, did you just learn any meaning behind any language?

======

...Looks familiar, doesn't it. That's pattern matching. Now, what is a machine and what does one do? A machine is "an assemblage of parts that transmit forces, motion, and energy one to another" (other non-machine senses are employing poetic license). What happens when a machine moves a load? It's _matching_ one load inside itself to _another_. Doesn't matter if it's a catapult, doesn't matter if it's a microscopic transistor in a microprocessor... That's what they ALL DO.

What really needs to be done, is people need to be taught what the heck a machine is. They are confused, schools aren't helping, and when they go out in the "workforce" they do confused research, make up badly anthropomorphized terms like "machine learning" (well it actually goes all the way back to "artificial intelligence" but I'm not here to write a book) AND screw up entire fields of _everything_ https://davidhsing.substack.com/p/what-the-world-needs-isnt-artificial

Expand full comment
Zbigniew Łukasiak's avatar

Your argument about humans producing maths is not entirely fair. For quite a bit of time we have been using external tools like pen and paper for this.

Expand full comment
41 more comments...

No posts