Long multiplication is a trivial form of reasoning that is taught at elementary level. Furthermore, the LLM isn't doing things "in its head" - the headline feature of GPT LLMs is attention across all previous tokens, all of its "thoughts" are on paper. That was Opus with extended reasoning, it had all the opportunity to get it right, but didn't. There are people who can quickly multiply such numbers in their head (I am not one of them).
LLMs don't reason.
LOL, talk about special pleading. Whatever it takes to reshape the argument into one you can win, I guess...
LLMs don't reason.
Let's see you do that multiplication in your head. Then, when you fail, we'll conclude you don't reason. Sound fair?
The LLMs also have access to a scratch pad. And importantly don’t know when they need to use it (as in, they will sometimes get long multiplication right if you ask them to show their work but if you don’t ask them to they will almost certainly get it wrong).
patently false, but hey at least you’re able to see the parallel between you with a scratch pad and an LLM with a python terminal
Also, see https://news.ycombinator.com/newsguidelines.html
"Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes.
Comments should get more thoughtful and substantive, not less, as a topic gets more divisive.
When disagreeing, please reply to the argument instead of calling names. "That is idiotic; 1 + 1 is 2, not 3" can be shortened to "1 + 1 is 2, not 3."
Don't be curmudgeonly. Thoughtful criticism is fine, but please don't be rigidly or generically negative."
etc.
Reasoning isn't a binary switch. It's a multidimensional continuum. AI can clearly reason to some extent even if it also clearly doesn't reason in the same way that a human would.
Yes, they should, but instead we're stuck with the stochastic-parrot crowd, who log onto HN and try their best to emulate a stochastic parrot.
presumably one of us is wrong.
therefore, humans don't reason.
when someone says LLMs today they obviously mean software that does more than just text, if you want to be extra pedantic you can even say LLMs by themselves can’t even geenrate text since they are just model files if you don’t add them to a “system” that makes use of that model files, doh
LLMs, if the someone is me or others who understand why it's important to be precise. And in this context, the distinction between LLM and AI mattered--not pedantic at all.
I won't respond further ... over and out.
