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Remember how ChatGPT totally aced the bar exam? Wow! yeah, turns out that was just a lie
(www.nytimes.com)
this post was submitted on 15 May 2024
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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From Re-evaluating GPT-4’s bar exam performance (linked in the article):
Ohhh, that is sneaky!
What I find delightful about this is that I already wasn't impressed! Because, as the paper goes on to say
And here I was thinking it not getting a perfect score on multiple-choice questions was already damning. But apparently it doesn't even get a particularly good score!
Why is that a criticism? This is how it works for humans too: we study, we learn the stuff, and then try to recall it during tests. We've been trained on the data too, for neither a human nor an ai would be able to do well on the test without learning it first.
This is part of what makes ai so "scary" that it can basically know so much.
LLMs know nothing. literally. they cannot.
Yeah but neither did Socrates
but he at least was smug about it
@mawhrin @EatATaco https://mastodon.me.uk/@pikesley/110077525298973789
I guess it comes down to a philosophical question as to what "know" actually means.
But from my perspective is that it certainly knows some things. It knows how to determine what I'm asking, and it clearly knows how to formulate a response by stitching together information. Is it perfect? No. But neither are humans, we mistakenly believe we know things all the time, and miscommunications are quite common.
But this is why I asked the follow up question...what's the effective difference? Don't get me wrong, they clearly have a lot of flaws right now. But my 8 year old had a lot of flaws too, and I assume both will get better with age.
nearly every word of your post demonstrates a comprehensively thorough lack of understanding of how this shit works
it also demonstrates why you're lost about the "effective difference"
I don't mean this aggressively, but you really don't have any concrete idea of wtf you're talking about, and it shows
no, it doesn't, and it's not a philosophical question (and neither is this a question of philosophy).
the software simply has no cognitive capabilities.
I'm not sure I agree, but then it goes to my second question:
What's the effective difference?
don't know why you got downvoted, an LLM is essentially a chinese room, and whether such a room "knows" is still the question.
no, it fucking isn't. (see the postscript in linked article.)
Thanks for that read.
Good god it’s a hydra
don’t know why you got banned
Someone in the chinese room would not know anything about their in- or output. Sure you memorized that a certain set of symbols means your output should contain another set of symbols, but what do you actually "know" about these symbols.
But you have no idea what it's about. Is it a greeting? A recipe for some pasta? Instructions to build a bomb? Could be anything.
Yeah, it’s a philosophical question, which means you need a philosophical answer. Spitballing won’t help you figure shit out a priori because it turns out that learning how to think a priori effectively takes years of hard graft and is called “studying philosophy”. You should be asking people like me what “know” means in this context and what distinguishes memory in human beings from “memory” in an LLM (a great deal, as it happens!)
don't compare your child to a chatbot wtf
The dehumanization that happens just because people think LLMs are impressive (they are, just not that impressive) is insane.
need to be able to think LLM's are impressive, probably
surely tech will save us all, right?