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    • _NoName_@lemmy.mlEnglish
      4·
      2 months ago

      The answer is that it doesn’t have to be but it’s simpler that way.

      A transcript has to be written for a YouTube video essay, and there’s not really a major reason you couldn’t turn your transcript and footage into an article with a series of embedded gifs or graphics. It’s just much simpler for creators to dedicate their time to one medium and not worry about losses in translation or similar issues.

    • Andrenikous@lemm.eeEnglish
      3·
      2 months ago

      What’s the alternative? Honestly, I want to use something other than YT but I don’t know of any with enough content.

      • Mongostein@lemmy.caEnglish
        40·
        2 months ago

        An article? I can absorb information much faster in text form, and I can more easily go back if I missed something

        • cosmic_cowboyEnglish
          8·
          2 months ago

          For so many YouTube videos, I just end up expanding the video description, and that gives me all the information contained in what would otherwise be 15 minutes of my time.

      • Gladaed@feddit.deEnglish
        6·
        2 months ago

        Pretty sure the criticisms Was it being any Video as opposed to a writeup.

    • breadsmasher@lemmy.worldEnglish
      22·
      2 months ago

      Alternatively,

      Now you don’t need to wonder why its only 16gb and soldered rather than expandable

      edit. changed 8gb to 16gb cause brain fart

    • Dudewitbow@lemmy.zipEnglish
      1·
      2 months ago

      part of the reason why thats required is because sodimm format has hits its frequency limit (that is, its getting much harder to get it at higher frequencies without stability problems). soldering lpddr ram gets passed this problem but makes it hard to repair for obvious reasons. Dell has allowed for its up and coming CAMM standard of ram to be used without royalties, but it hasnt been implemented often yet.

      for iGPU performance, ram frequency is very important for overall gpu performance because memory bandwith is usually the #1 bottleneck for gpu performance.