Thread

1. dghlsakjg · 1785816328 · focus · HN ↗

   I know everyone wants to crap all over these setups that are impractical, but this is how progress happens.

   People will keep plugging away at this and figure out how to avoid wearing the hard drive, how to make it run faster, custom hardware buses etc.

   Keep going! I personally can't wait for the day when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.

   1. myrmidon · 1785836525 · focus · HN ↗

      Agree with this. As soon as things get in range for motivated amateurs, progress skyrockets.

      Has also been the case for things like chess computing; a lot of the progress we made over the last decades there (even before involving neural networks!) happened thanks to software improvements because the problem got so accessible, not just faster hardware.

      I expect similar trends with AI; I'd expect to get decent, human comparable capability with <200GB/s of memory bandwidth and under 60GB of RAM long term (SSDs with very high read bandwidth looks also promising, but we'll see).

      I hope that in a decade or two, training will also be somewhat feasible for "pro-sumers".

      1. RachelF · 1785879121 · focus · HN ↗

         >As soon as things get in range for motivated amateurs, progress skyrockets.

         So true. The reverse is also true - when greedy companies overprice their initial release so that it is out of range of the enthusiastic hobbyist they stall progress and adoption.

         This is true for hardware (eg failed Intel Optane, Knights Bridge) and software that does not have a cheap or free basic plan.

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