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.
This is not debate club. Unless it’s amusing debate.
For actually-good tech, you want our NotAwfulTech community
From Re-evaluating GPT-4’s bar exam performance (linked in the article):
First, although GPT-4’s UBE score nears the 90th percentile when examining approximate conversions from February administrations of the Illinois Bar Exam, these estimates are heavily skewed towards repeat test-takers who failed the July administration and score significantly lower than the general test-taking population.
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
Moreover, although the UBE is a closed-book exam for humans, GPT-4’s huge training corpus largely distilled in its parameters means that it can effectively take the UBE “open-book”
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.
Because a machine that "forgets" stuff it reads seems rather useless... considering it was a multiple choice style exam and, as a machine, Chat GPT had the book entirely memorized, it should have scored perfect almost all the time.
Chat GPT had the book entirely memorized
I feel like this exposes a fundamental misunderstanding of how LLMs are trained.
Dont anthropomorphise. There is quite the difference between a human and an advanced lookuptable.
Well... I do agree with you but human brains are basically big prediction engines that use lookup tables, experience, to navigate around life. Obviously a super simplification, and LLMs are nowhere near humans, but it is quite a step in the direction.
@phoenixz @Soyweiser "Let's redefine what it means to be human, so we can say the LLM is human" have you bumped your head?
LLMs know nothing. literally. they cannot.
Yeah but neither did Socrates
but he at least was smug about it
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.
i guess it comes down to a philosophical question
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.
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?
[...W]hen examining only those who passed the exam (i.e. licensed or license-pending attorneys), GPT-4’s performance is estimated to drop to 48th percentile overall, and 15th percentile on essays.
officially Not The Worst™, so clearly AI is going to take over law and governments any day now
also. what the hell is going on in that other reply thread. just a parade of people incorrecting each other going "LLM's don't work like [bad analogy], they work like [even worse analogy]". did we hit too many buzzwords?
Not the worst? 48th percentile is basically "average lawyer". I don't need a Supreme Court lawyer to argue my parking ticket. And if you train the LLM with specific case law and use RAG can get much better.
In a worst case scenario if my local lawyer can use AI to generate a letter and just quickly go through it to make sure it didn't hallucinate, they can process more clients, offer faster service and cheaper prices. Maybe not a revolution but still a win.
48th percentile is basically "average lawyer".
good thing all of law is just answering multiple-choice tests
I don't need a Supreme Court lawyer to argue my parking ticket.
because judges looooove reading AI garbage and will definitely be willing to work with someone who is just repeatedly stuffing legal-sounding keywords into google docs and mashing "generate"
And if you train the LLM with specific case law and use RAG can get much better.
"guys our keyword-stuffing techniques aren't working, we need a system to stuff EVEN MORE KEYWORDS into the keyword reassembler"
In a worst case scenario if my local lawyer can use AI to generate a letter
oh i would love to read those court documents
and just quickly go through it to make sure it didn't hallucinate
wow, negative time saved! okay so your lawyer has to read and parse several paragraphs of statistical word salad, scrap 80+% of it because it's legalese-flavored gobbledygook, and then try to write around and reformat the remaining 20% into something that's syntactically and legally coherent -- you know, the thing their profession is literally on the line for. good idea
what promptfondlers continuously seem to fail to understand is that verification is the hard step. literally anyone on the planet can write a legal letter if they don't care about its quality or the ramifications of sending it to a judge in their criminal defense trial. part of being a lawyer is being able to tell actual legal arguments from bullshit, and when you hire an attorney, that is the skill you are paying for. not how many paragraphs of bullshit they can spit out per minute
they can process more clients, offer faster service and cheaper prices. Maybe not a revolution but still a win.
"but the line is going up!! see?! sure we're constantly losing cases and/or getting them thrown out because we're spamming documents full of nonsense at the court clerk, but we're doing it so quickly!!"
Spoken like someone who hasn't gotten beyond ChatGPT on default settings.
what the fuck kind of reply is this
the perils of hitting /all
416 updoots, what on earth
dj khaleb suffering from success dot jpeg
Though making an unreliable intern is amazing and was impossible 5 years ago...
thank fuck sama invented the concept of doing a shit job
I mean, it’s not shit at everything; it can be quite useful in the right context (GitHub Copilot is a prime example). Still, it doesn’t surprise me that these first-party LLM benchmarks are full of smoke and mirrors.
citation needed
That GitHub Copilot and friends are useful? I would argue that their utility is rather subjective, but there are indications that it improves developer productivity.
I’m unsure if you’ve used tools like GH Copilot before, but it primarily operates through “completions” (“spicy autocorrect” in its truest form) rather than a chatbot-like interface. It’s mostly good for filling out boilerplate and code that has a single obvious solution; not game-changing intelligence by any means, but useful in relieving the programmer of various menial tasks.
May I ask, what evidence are you hoping to see in particular?
https://awful.systems/comment/1286383
I look forward to the money that I'll make cleaning up the mess you provide people with
all in all: underwhelming. I remain promptdubious.
I know I'm six months late to the party but how do you like "promptcritical"?