• 14 Posts
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Joined 1 year ago
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Cake day: June 21st, 2025

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  • vividspecter@aussie.zonetoFuck AI@lemmy.worldTee hee
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    12 days ago

    It’s just simple logic. Renewables and batteries are cheaper and quicker to build than coal and gas and easier to locate near the demand.

    But agreed that the near term situation is concerning with coal and gas still being used and built which is idiotic. And the politics around renewable energy in the US aren’t helping things, though I expect economics will win out in the end in the medium to long term.


  • vividspecter@aussie.zonetoFuck AI@lemmy.worldTee hee
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    12 days ago

    Yeah, I always get a laugh out of the tantrums people throw over plastic straws and bags which is such a trivial thing to care about. It’s not even about climate change either, but a different and also serious environmental problem.

    On the data center point, it is expected to actually drive renewable investment. Ideally those building data centers should bear the full cost of it and should be prevented from turning to gas as a solution. And that’s my main concern from this, besides all of the other issues with AI.


  • I’m starting to think that those of us who understand this will probably fair better by forfeiting the semantics battle and making the distinction between LLM-AI and ML.

    I’m now picturing a future where the word AI truly becomes universally hated, and LLM lovers start calling it ML again:

    No, no it’s not AI it’s machine learning

    Or we all just call it applied statistics, that ought to take the magic out of it, since normal people consider statistics to be boring and mundane and certainly not intelligent.


  • I wanna beat them to death with my laptop, but when I see a new application for AI in cancer research, or a nearly century old math conjecture proven, I do feel a little optimistic, too.

    I feel like these are such divergent types of machine learning that they have nearly nothing in common with the generative AI used in chatbots and code generators (especially that used to predict disease). Even if they may use some of the same underlying technologies and theory.

    Which is why the overloading of the word AI to mean literally all of it is frustrating. So I guess I don’t have a problem with using machine learning to target narrowly defined problems to gain new knowledge, versus outsourcing all of our thoughts and actions to chatbots and AI agents.