TechTakes @awful.systems David Gerard @awful.systems 6 mo. ago

Remember how ChatGPT totally aced the bar exam? Wow! yeah, turns out that was just a lie

www.nytimes.com Opinion | Press Pause on the Silicon Valley Hype Machine

A.I. is looking less like an all-powerful being and more like an unreliable intern.

archive https://archive.ph/is57b

Fuck AI @lemmy.world pavnilschanda @lemmy.world 6 mo. ago

www.nytimes.com /2024/05/15/opinion/artificial-intelligence-ai-openai-chatgpt-overrated-hype.html

37 comments

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!
  
  [...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?
  
  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.
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.
the perils of hitting /all
- 416 updoots, what on earth
  
  dj khaleb suffering from success dot jpeg

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