The results of this new GSM-Symbolic paper aren’t completely new in the world of AI research. Other recentpapers have similarly suggested that LLMs don’t actually perform formal reasoning and instead mimic it with probabilistic pattern-matching of the closest similar data seen in their vast training sets.
WTF kind of reporting is this, though? None of this is recent or new at all, like in the slightest. I am shit at math, but have a high level understanding of statistical modeling conceptsmostly as of a decade ago, and even I knew this. I recall a stats PHD describing models as “stochastic parrots”; nothing more than probabilistic mimicry. It was obviously no different the instant LLM’s came on the scene. If only tech journalists bothered to do a superficial amount of research, instead of being spoon fed spin from tech bros with a profit motive…
Probably because that’s the common expectation due to calling it “AI”. We’re well past the point of putting the lid back on that can of worms, but we really should have saved that label for… y’know… intelligence, that’s artificial. People think we’ve made an early version of Halo’s Cortana or Star Trek’s Data, and not just a spellchecker on steroids.
The day we make actual AI is going to be a really confusing one for humanity.
Clearly this sort of reporting is not prevalent enough given how many people think we have actually come up with something new these last few years and aren’t just throwing shitloads of graphics cards and data at statistical models
*starts sweating
Look at that subtle pixel count, the tasteful colouring… oh my god, it’s even transparent…
WTF kind of reporting is this, though? None of this is recent or new at all, like in the slightest. I am shit at math, but have a high level understanding of statistical modeling concepts mostly as of a decade ago, and even I knew this. I recall a stats PHD describing models as “stochastic parrots”; nothing more than probabilistic mimicry. It was obviously no different the instant LLM’s came on the scene. If only tech journalists bothered to do a superficial amount of research, instead of being spoon fed spin from tech bros with a profit motive…
This is outrageous! I mean the pure gall of suggesting journalists should be something other than part of a human centipede!
That is SUCH a good description.
It’s written as if they literally expected AI to be self reasoning and not just a mirror of the bullshit that is put into it.
Probably because that’s the common expectation due to calling it “AI”. We’re well past the point of putting the lid back on that can of worms, but we really should have saved that label for… y’know… intelligence, that’s artificial. People think we’ve made an early version of Halo’s Cortana or Star Trek’s Data, and not just a spellchecker on steroids.
The day we make actual AI is going to be a really confusing one for humanity.
Ask literally any of the LLM chat bots out there still using any headless GPT instances from 2023 how many Rs there are in “strawberry,” and enjoy. 🍓
That was both hilarious and painful.
And I don’t mean to always hate on it - the tech is useful in some contexts, I just can’t stand that we call it ‘intelligence’.
This problem is due to the fact that the AI isnt using english words internally, it’s tokenizing. There are no Rs in {35006}.
Clearly this sort of reporting is not prevalent enough given how many people think we have actually come up with something new these last few years and aren’t just throwing shitloads of graphics cards and data at statistical models