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Cake day: May 14th, 2024

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  • It’s still an open question where the eventual sweet spot will be in terms of model size and speed once the dust settles.

    Nobody has the hardware to run frontier models in their personal devices. Even the larger open models are out of reach unless you’re ready to spend $10-20k on hardware. You can’t do shit on 8GB of memory.

    That said, I don’t think there’s any great use case for trillion-parameter models in the long term. You can get good results for cheap from much smaller models with smarter workflows, and eventually that will become as easy and accessible as using cloud products. The big players have done well staying 6-12 months ahead, but that’s really not a lot in the grand scheme and they can’t keep it up indefinitely.

    Their only play is regulatory capture and they’re pushing hard for it.











  • AnAmericanPotato@programming.devtoLinux@programming.devHammers Without Handles
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    4 months ago

    The problem with that philosophy is that all the fundamental problems reinforce themselves, generation after generation after generation. Assuming familiarity with Windows as your baseline guarantees that you will be stuck in a rut of horrible UI design “because that’s the way it’s always been”. The lowest-friction choice will always be to carry forward all the bullshit.

    I don’t think you can truly call someone “computer literate” if they can’t tolerate moderate friction and learn new things quickly.

    This is also why apple’s UI sucks so bad now. They used to have fantastic UI design because they made software with the fewest possible assumptions about the user. Now they design software assuming you are ass-deep in their previous software. It is the design equivalent of inbreeding.