Advanced AI models suffer a near-total collapse on classic psychology test as cognitive demands increase
2 months ago by sanitation to c/technology
To be fair, run an LLM on a machine with an equivelent power requirement to the human brain and we might se some different results on that one.
@CheeseNoodle @MangoCats so like 20 watts of power? Yes that seems fair
So my GPU is about 300 watts and a still blatantly stupid LLM can write a little faster than me. Take off 100w to bring that down to my own writing speed then make it 10x slower to turn that 200 watts into 20 watts. Even with that heavy bias in the LLMs favour (forgiving it the entire power cost of my PCs other components that it partially utilizes) what we get is something slow, dumb, and incapable of learning because any local model is statically weighted.
That's one way to compare it.
Now, take your privileged writer status human brain and factor in all the other power required to keep it comfy in an air conditioned room, the labor required to put a roof over your head, keep your home plumbing working, make your food, deliver you pen and paper to write with - or are you using an electrically powered appliance to record and later communicate your thoughts? Oh, did you need to go to sleep for a while?
@lemmy.world
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@lemmy.world
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Might be because AI isn't cognitive or actually intelligent. I imagine a washing machine wouldn't do well either.
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