According to Taiwan tech publication DigiTimes, most AI firms are unwilling to wait two years for HDD supplies to stabilize and are shifting to SSDs instead. To contain costs, they are choosing QLC NAND-based drives over the faster, more durable, and more expensive TLC variants.

  • DaddleDew@lemmy.world
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    9 hours ago

    You forgot to mention that the product they’re sacrificing everything for is widely failing to meet expectations and that they will likely expect taxpayers to bail them out when their investments fail and threaten to take out the entire economy with themselves

    • Random Dent@lemmy.ml
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      4 hours ago

      Also in a few years when the AI generated nonsense code reaches a critical point and a ton of important systems grind to a halt, we’ll expect all of you that we fired to come back and un-fuck it for us so we can keep on making money. On temporary contracts and at reduced wages of course because times are tough.

    • douglasg14b@lemmy.world
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      9 hours ago

      To be clear, it only wildly fails to meet expectations in sectors that you hear about.

      It’s most definitely medium expectations in sectors you don’t hear about because news and social media have a huge negativity bias because that gets views and engagement.

      If we want to fight this scourge, we need to be more informed about it.

        • douglasg14b@lemmy.world
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          4 hours ago

          Contact centers, software development, automation, images and video analysis, data analysis, semantic search, entity recognition, advertising, misinformation campaigns, social media, security scanning & automation…etc

          Many of these are cross-cutting across many sectors, some of these are sectors you don’t think of as they are driven by government entities.

          And many of these have boring quiet tools and integrations that you don’t hear about because they “just work”.

          You only hear about the shit that doesn’t work. Not the shit that does work.

          Edit: inb4 a reply of a narrow use case or shitty implementation that, obviously, doesn’t work, which I already called out as a bias.