Formerly /u/Zagorath on the alien site.

  • 53 Posts
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Joined 3 years ago
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Cake day: June 15th, 2023

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  • Zagorath@aussie.zonetoLemmy Shitpost@lemmy.worldYour opinion is important
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    1 month ago

    I worry about this sometimes. I don’t ever want to be seen as speaking “for” minorities I’m not a member of, but I do want to be seen speaking “up for” them. And I worry about finding the right balance. I don’t want to speak over them, but do want to help make it clear that I support them and I am opposed to those who are opposed to them. I don’t want to be MLK’s “white moderate”.






  • Zagorath@aussie.zonetoLemmy Shitpost@lemmy.worldI blame Obama
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    2 months ago

    it has been a rethorical one trying do point out the case of US-defaultism

    No, I understood that. My reply was meant to be read as a rebuke to that idea. Because it isn’t an American day. It’s less observed in America than it is in many other countries. Claiming it to be US-defaultism relied on a mistaken assumption that because some Americans are talking about it, it must be a uniquely American thing.

    Ironically, your complaint about “US-defaultism” was itself the US-defaultism.





  • I’ll admit I don’t know all the differences between locally run, open source models that are used for accessibility and the horrible plagiarism machines we all despise the most

    Fwiw 99.9% of the time someone talks about ak “open source” generative AI model, what they really mean is “open weight”.

    An open-source model has public training code and training dataset, allowing full reproduction

    a random Reddit post I found when looking for a good definition to share

    Some people (including the author of that definition) don’t like the need for open source models to have an open source dataset. It’s also not clear to me whether that definition is even supposed to mean the dataset is actually public domain, or just clearly defined (e.g. “we trained on all top 100 best-selling books from the period 2000–2020”). The former would obviously be very meaningfully different from closed models in terms of accusations of ethical problems in the training process.

    Open-weight models basically just mean you can download it and make some slight tweaks and run it at home. It means the big AI companies aren’t benefiting financially from your use and can’t train on what you feed them for their next model, and because these are typically designed to be run locally rather than in a data centre the environmental impacts are lessened. But in terms of the training process it’s no better than closed models.