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Joined 2 years ago
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Cake day: October 13th, 2023

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  • Not every men’s group is a shitty stereotype.

    determine the relative “okayness” in an individual case

    Well, yeah?

    OP asked the question in general terms, I answered in general terms. With more specific information you can make a more specific judgement. That’s why I said “stereotype, not rule” and separated is vs ought?

    I don’t need to list out every possible reason someone might want a gendered group to show that there is a valid reason. Instead just give one. In fact I avoided talking about domestic abuse shelters exactly to avoid this sort of ‘whataboutism’.


  • As ~always with gender and politics, there’s a pretty big gap between what is and what ought.

    What is: The people who make and seek out men-only groups have a stereotype of being shitty, sexist people. The stereotypes around women-only groups are a lot weaker and less negative. These stereotypes are not rules, but do certainly lead to some social stigma.

    What ought 1: In a better world gender-specific groups might exist for people to find support and connection around their gendered experiences. There’s some experiences that aren’t commonly shared across genders and it can be a lot easier and safer to share with people who you know also have that experience.

    What ought 2: In a still better world there wouldn’t be a significant desire for such groups because we are all sensitive and caring enough that such a group doesn’t make sharing meaningfully easier or safer, because it’s already easy and safe.



  • To avoid our company, don’t buy our product?

    To avoid all AI, well first you’re going to have to degoogle. And then probably any tech company larger than 1000 people is going to have some place where they use AI, so you’ll want to get on openstreetmap, Lemmy, mastodon, i.e. all the free software versions of things that you can. There’s a lot of overlap with privacy-focused people there. Also basically no shopping online - Stripe and probably most other payment providers use ML for detecting fraud.

    And then if you’re doing web development you probably have to consider things like scrapers. Something like Anubis https://anubis.techaro.lol/ can help with that.

    There’s probably more I don’t know/haven’t thought of.


  • Atlas_@lemmy.worldtoAsklemmy@lemmy.ml*Permanently Deleted*
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    2 months ago

    I am building it! Or, well, not it anymore but a product that is heavily based on it.

    I think we as a company recognize that the, like, 95% of AI products right now are shit. And that the default path from now is that power continues to concentrate at the large labs like OpenAI, which haven’t been behaving particularly well.

    But we also believe that there are good ways to use it. We hope to build one.

    The thing your boss is asking you to do is shitty. However, TBQH humanity doesn’t really know what LLMs are useful for yet. It’s going to be a long process to find that out, and trying it in places where it isn’t helpful is part of that.

    Lastly, even if LLMs don’t turn out to be useful for real work, there is something interesting and worth exploring there. Look at researcher/writers like Nostalgebrist and Janus - they’re exploring what LLMs are like as beings. Not that they’re conscious, but rather that there’s interesting and complex things going on in there that we don’t understand yet. The overarching feeling in my workplace is that we’re in a frontier time, where clever thinking and exploration will be rewarded.