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AI needs $6tn in annual revenue to justify data centre boom, Bain says | The National (www.thenationalnews.com)
submitted 1 month ago by to c/technology@lemmy.world
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[–] 27 points 1 month ago (10 children)

LLMs aren't gonna give us any of those things. Thats just snake oil.

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  • [–] 8 points 1 month ago (5 children)

    I believe at most, coding, scripting, and text processing.

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  • [–] 4 points 1 month ago (4 children)

    Exactly, there's a few specific use cases that the current generative AI is good at. Reading medical imagingand medication development are things I'd add to your list.

    However, outside of those specific tasks AI is not particularly useful. An incremental improvement in productivity in some cases.

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  • [–] 10 points 1 month ago (3 children)

    Medical imaging and medication development would be bespoke models no? Not standard LLMs?

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  • [–] 1 point 1 month ago*

    Generally speaking, yes, but standard LLMs now have their own built-in image recognition so we might not be too far off from LLMs being able to describe to the doctor what they should look at on an image that's been flagged. Take a capable LLM of a few hundred billion parameters, train it on tons of medical images and such, and it might actually be helpful. Or it might not, no way to find out until tested.

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  • [–] -1 points 1 month ago (3 children)

    AI is not just LLMs. Much of AI is machine control, and bioinformatics.llms are the foam on top of the ocean.

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  • [–] 4 points 1 month ago

    I'm aware, and I wish people were more clear about the difference, but its LLMs that are driving these insane buildouts, not the other disciplines. This article is clearly talking about the LLM "AI", not bioinformatics or anything that may actually be fruitful.

    The LLM companies like to claim they'll solve cancer, but its all snake oil hedged on a mythical AGI popping up and fixing everything.

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