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We did the math on AI’s energy footprint. Here’s the story you haven’t heard. (www.technologyreview.com)
submitted 1 year ago by to c/technology@lemmy.world
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Absolutely needed: to get high efficiency for this beast ... as it gets better, we'll become too dependent.

"all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,,,"

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[–] 2 points 1 year ago* (1 child)

Fair point, but i feel like that's something that's technologically solvable, and this is dealing only with text, a lot of which is already digital, just in multiple formats, and all easily checkable against the final figures if anyone so desires.

As a random aside, I saw a clip recently where someone had asked an 'AI' model to reproduce a photo with zero changes one hundred times. There were more than zero changes.

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  • [–] 2 points 1 year ago

    Surprisingly, the mistakes ChatGPT made weren't related to picture processing. Every time I've sent a picture, it has flawlessly analyzed the text (even if it's a screenshot of a massive Linux log or a screenshot with multiple windows / arbitrary text placement). The problems were more like the markdown table I created would not be reproduced perfectly with the new changes/additions. It's pretty reliable early on, but either as the chat gets longer or the table does, fidelity can be lost. Not very often, but it does happen.

    Just to clarify. But I find as long as you're paying close attention and can catch mistakes or verify the output, AI does make such tasks much less tedious.

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