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Joined 2 years ago
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Cake day: March 22nd, 2024

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  • I’ve been meaning to make git issues, but in a nutshell, one is “community taxononony”

    Instead of being pigeon-holed into a single community, every community would be part of an inherited hierarchy, like a class system in programming. /c/thelastairbender might be part of /c/animation, or /c/television; perhaps both?

    Organization would be mutual. Moderators of each have to approve to join and remain in the hierarchy, though the “initial structure” of the community could be set up by admins I suppose. The sub community inherits “global” rules from their parent communities, but can have their own rules as well.

    And what’s the point of all this, you ask? Well, way I see it, Lemmy has a “niche” discoverability/attention issue, where big engaging communities like politics crowd out smaller niches. But being a sub community would show all its posts in the communities up the hierarchy as well, getting them the visibility of a “big” community while remaining in the niche. It would allow focused communities to exist, but users browsing bigger communities to see them as an appropriate topical thing. This aggregation is user configurable, of course, but I think it’s very important that this visibility be the default.

    And in terms of programming, I think it would be feasible? Admittedly I don’t know the architecture, but it seems like it would fit with existing paradigms.


    Another idea I have is a replica of Twitter’s “community notes” feature. Perhaps if a comment gets enough upvotes and is flagged by the comment writer as a “community correction,” and fits certain criteria (like being below a word count, maybe a certain percentage of upvotes being from the host instance), it’s automatically displayed below the original post’s title.

    This would allow, for example, clickbait or questionable sources to be called out, or misleading titles to be clarified.

    Theoretically this is a mod’s job, but I feel that:

    • Mods don’t want to be heavy-handed

    • They’re often overworked/short on time.

    • And frankly, let a lot of clickbait/ragebait posts slide anyway.

    And for all of Twitter’s failures, this particular feature is a good idea.

    Again, it ties into the idea of “attention control,” to try and give information hygiene a chance over people’s impulses.









  • The issue with AI is “now”

    Can they power with solar? Nuclear? Hell, even a natural gas plant? Nope, the data centers need the power right this second, so they get gas turbines on site. Same with cooling; evaporative is just the quickest and cheapest to set up.

    Same with its architecture. There’s no time to fix temperature/sampling issues, no time to try bitnet or any of a bazillion interesting papers that came out. A shippable product (model) is needed yesterday; just scale up what we have. “Fail” a single experiment? Your team is fired, which is exactly what happened at Meta.

    Everything has to happen right now because of corporate FOMO. So, while this is an interesting musing and maybe Intel or someone will play with it, the actual AI labs could not care less because they can’t get it immediately.




    • You can run DXVK in Windows, too.

    • Antivirus (even Windows Defender with defaults) can massively slow down disk IO in some games. As an example, my Rimworld loading times were over 2X as long with Defender realtime active, and it caused all sorts of hitching.

    I’m not trying to dunk on Linux here; it can help a ton, sometimes. Sometimes it is Linux that provides the massive boost.

    …But sometimes it’s just about a good default configuration, with linux gaming OSes provide. Windows can be like this too, once it’s stripped down.

    Again, not trying to dunk or tout either OS; I use both, though linux mostly. But I think attribution is important. And the assertion that Linux provides a big performance boost is not always true; I’m still stuck on Windows with several games just because (in spite of my best tweaking/modding efforts), they still perform better on Windows in A/B tests.








  • I mean, even as-is, it’s a very useful tool. Especially as the capabilities we have get exponentially cheaper.

    What people don’t get is AI is about to become a race to the bottom, not to the top. It’s a utility to sift through millions of documents or run simple bots, or work assistants, or makeshift translators or whatever; you know, oldschool language modeling. And that’s really neat as the cost approaches “basically free.”