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Cake day: July 12th, 2023

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  • I switched to buckwheat pillows a few years ago and I’ve been a fan. It’s a really interesting texture that you can move and shape really easily, but then when you apply pressure to it, it firms up and holds its shape. So, you get a really supportive pillow that’s molded to your head and neck (For reference, I’m a side sleeper). The only downside I’ve noticed is the filling degrades relatively quickly, and after about a year it loses a lot of its volume and doesn’t hold its shape as well, so you’ll need to replace it. The bright side is that it’s fairly cheap, and entirely biodegradable.


  • Honestly, because Windows is a steaming pile of garbage and using Mac feels like swimming with pool floaties.

    I recently started using NixOS as my distro and it has been phenomenal. Saying the learning curve is a little steep is like calling a hurricane a little bit of rain, but once you start to get it, it’s extremely powerful and delivers on the promise of “all of your configuration in one place.” It gives me a lot of peace of mind to know that every time I tweak or fix something, it’s reliably making it into a version controlled and backed up repository. I could throw my laptop out the window, pick up a new one, and have all my applications installed and configured within half an hour.








  • MostlyGibberish@lemm.eetoAsklemmy@lemmy.mlWhat's with all the tech layoffs?
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    5 months ago

    One factor I haven’t seen mentioned is that because of rising interest rates, tech companies have had to shift from being focused on growth to actually turning a profit. Because of this, companies are having to shed employees because they over hired in anticipation of that continued growth. People are expensive so that’s an “easy” way to try to get the line closer to positive.

    This is kind of a rough overview and I’m by no means an expert on economics. Just someone who works in tech and so has been following things closely.







  • I find it useful in a lot of ways. I think people try to over apply it though. For example, as a software engineer, I would absolutely not trust AI to write an entire app. However, it’s really good at generating “grunt work” code. API requests, unit tests, etc. Things that are well trodden, but change depending on the context.

    I also find they’re pretty good at explaining and summarizing information. The chat interface is especially useful in this regard because I can ask follow up questions to drill down into something I don’t quite understand. Something that wouldn’t be possible with a Wikipedia article, for example. For important information, you should obviously check other sources, but you should do that regardless of whether the writer is a human or machine.

    Basically, it’s good at that it’s for: taking a massive compendium of existing information and applying it to the context you give it. It’s not a problem solving engine or an artificial being.