• eleitl@lemmy.zip
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    3 months ago

    AI will remain a massively parallel numerics affair with enormous data sets and monstrous memory bandwidth and network crossection. And according energy consumption. Jevon’s paradox will eat any efficiency improvements.

    • elucubra@sopuli.xyz
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      3 months ago

      Only if LLMs are the only option. A paradigm change is coming. It’s like what happened when European and Japanese performance cars started to take on American muscle cars or SpaceX (yeah I hate the Nazitard too) started recovering rockets and reusing them, or PCs started replacing mainframe workstations…

      • eleitl@lemmy.zip
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        3 months ago

        Look at the enormous processing resources of biological brains. Human brain is 2% of body mass but 20% of baseline metabolism – this is very expensive evolutionary. Neural hardware used for LLMs or just any scientific numerics accelerator is just a bad reinvention. Your argument reminds me of Minsky’s “5 MIPS is enough for AI”. Nope. You have to track a lot of state, its relationships and refresh it all very quickly. Computation is expensive.

        • elucubra@sopuli.xyz
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          3 months ago

          Really? Where could I find information about that? If the rockets (first stage) weren’t reused, there is no way that SpaceX could charge the Kg to orbit prices they charge.