Glorified network janitor. Perpetual blueteam botherer. Friendly neighborhood cyberman. Constantly regressing toward the mean. Slowly regarding silent things.

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Joined 2 years ago
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Cake day: December 27th, 2023

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  • Yes, I think you’re correct. The noise/signal ratio tends to be bad in online communities and especially in social media (as with any other topic). I’ve met some lovely (and attractive!) trans people in work life. Never dated one though, as I’ve been “off the market” for years now, but I don’t find the idea any stranger than dating anyone else. If there’s a mutual connection, then that’s all I need. The rest will sort itself out and this, as you rightfully point out, has become stronger and clearer the older I’ve become.








  • Being para-social at workplace is part of the job. We are primates establishing group dynamics after all. Others monkeys need to know if you fit into their Dunbar’s number or if you’re a shit-tosser.

    I tend to give short answers without elaboration. ”Where do you live?” Gets one word reply. ”Where did you grow up?” One word. The rest of the time, be silent and don’t engage. Silence works.

    Being introverted is fine, but you might havewto accept that others are not. For them parasocial relationships are as important as being alone is for you.

    You can, learn to drive different behaviour for a while. I am very introverted myself, but I don’t present myself as one at work, purely because my work requires me to be outward focused public speaker. This takes a LOT of energy so I also need to find recharge time and ”be myself”, but I do that outside work.

    Of course it would be ideal if everyone else was just as introverted as I am, but over the years I’ve come to the conclusion it’s easier to adopt a ”work behaviour” than expect everyone to adapt to my level.






  • 0xtero@beehaw.orgtoAsklemmy@lemmy.mlWhat is Lemmy's problem with AI?
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    2 months ago

    LLMs are a tool. They lack fidelity and frequently generate wrong results but as long as you (human subject matter expert) go through the results they are extremely useful in analysing and summarising large datasets.

    But that’s all they are. They don’t create anything new, you can’t use them for learning anything and they certainly don’t ”think”, they just produce nice looking sentences.

    Generally, the energy needs and environmental harm they do make their usecases very narrow. But there are some.

    As a general tool that pretends to be ”intelligent”, they are completely useless because they’re nothing of the kind.