Comment on We did the math on AI’s energy footprint. Here’s the story you haven’t heard.

• FreedomAdvocate@lemmy.net.au ⁨2⁩ ⁨weeks⁩ ago

  In what area of AI? Image generation is increasing in Lagos and bounds. Video generation even more so. Image reconstruction for games (DLSS, XeSS, FSR) is having generational improvements almost every year. AI chatbots are getting much much smarter seemingly every month.

  What’s one main application of AI that hasn’t improved?

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  • msage@programming.dev ⁨2⁩ ⁨weeks⁩ ago

    Which chatbots are getting smarter?

    I know AI has potential, but specifically LLMs (which most people mean when talking about AI) seem to have hit their technological limits.

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    • Jakeroxs@sh.itjust.works ⁨2⁩ ⁨weeks⁩ ago

      Advanced Reasoning models came out like 4 months ago lol

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      • msage@programming.dev ⁨2⁩ ⁨weeks⁩ ago

        Advanced reasoning? Having LLM talk to itself?

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    • FreedomAdvocate@lemmy.net.au ⁨2⁩ ⁨weeks⁩ ago

      Copilot, ChatGPT, pretty much all of them.

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      • msage@programming.dev ⁨2⁩ ⁨weeks⁩ ago

        Smarter how? Synthetic benchmarks?

        Because I’ve heard the opposite from users and bloggers.

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  • Almacca@aussie.zone ⁨2⁩ ⁨weeks⁩ ago

    They’ve been a boon for medical diagnoses as well, I believe.

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    • MagicShel@lemmy.zip ⁨2⁩ ⁨weeks⁩ ago

      Any strictly rule-based system, like accounting and taxes, is a job for traditional software, not AI. Particularly when the laws change every year.

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      • Almacca@aussie.zone ⁨2⁩ ⁨weeks⁩ ago

        Once it has the information in a recognisable format. Reading and recognising random receipts, bank statements, payment slips, and whatever and sorting it into a coherent format is what I’m trying to avoid.

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• Xaphanos@lemmy.world ⁨2⁩ ⁨weeks⁩ ago

  NVL72 will be enormously impactful on high end performance.

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