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Joined 1 year ago
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Cake day: August 18th, 2023

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  • I was a reddit Sync user and was super bummed when (large scale) API access was shut off, so I jumped on the chance to use Sync for Lemmy. It defaulted to world for signups, presumably for ease of use for migrating reddit users. Knowing that Sync already had a loyal audience that was willing to put in a little effort to migrate, it seems the dev opted to make everything as similar to the reddit UX as possible, including registration.

    Now that I’m more familiar with the fediverse, I’ve been considering migrating to a more specialized instance that matches my interests. Truthfully, though, it seems unlikely that much of anything would change if I did since I’m going to keep using the same app, so I’ve been slow to move.

    To compare this with my experience with Mastodon, I was absolutely overwhelmed by the idea of instances and really had no idea which to join, nor did I have a familiar app to work with. I figured it out eventually, but a lot of the artists I follow didn’t or didn’t have time to, so overall I haven’t spent much time on it. I’ve spent way too much time on Lemmy so far.



  • I agree that most people won’t care but take issue with calling them “dumb”. Everyone has a limited amount of time on this planet to build skills and chase hobbies. A lot of people on this site have tech-related jobs and hobbies, so of course this matters to us. I might expect someone who buys pre-built gaming PCs to keep this on their radar, but the vast majority of folks who use computers as email and social media machines, including those who only use it for data entry type jobs, have little reason to care about the specifics of their CPU or any other single component of their computer. If their computer breaks, that’s annoying, but that’s life. They’ll spend the same amount on a new laptop as we might spend on a new CPU and get on with their day.

    I don’t know what brand of spark plugs are in my car, and maybe a mechanic or car enthusiast would find that dumb. But hey, I’m too busy caring about my CPU to spend time worrying about my car unless it breaks.




  • Part of the problem is that we have relatively little insight into or control over what the machine has actually “learned”. Once it has learned itself into a dead end with bad data, you can’t correct it, only work around it. Your only real shot at a better model is to start over.

    When the first models were created, we had a whole internet of “pure” training data made by humans and developers could basically blindly firehose all that content into a model. Additional tuning could be done by seeing what responses humans tended to reject or accept, and what language they used to refine their results. The latter still works, and better heuristics (the criteria that grades the quality of AI output) can be developed, but with how much AI content is out there, they will never have a better training set than what they started with. The whole of the internet now contains the result of every dead end AI has worked itself into with no way to determine what is AI generated on a large scale.