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Joined 1 year ago
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Cake day: June 17th, 2023

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  • There are always things people have in common. More-so today with the accessibility to media provided by the internet. That said being a friend to someone isn’t about checking a bingo card of similar interests. It’s about listening to their experiences and being interested.

    What do people watch on tv, what are they listening to, where have they vacationed recently, did you hear about xyz happening in the news.
    Kids. People with kids talk about their kids.

    Some of that might overlap with your experiences, some of it won’t, it doesn’t need to. You just need to shoot the shit, hear what they’ve been up to, say what you’ve been up to, and enjoy doing it. Maybe do an activity of somekind while your at it, maybe just eat dinner.

    The age range is just when people get busy with life and have less free time to actually do things. So they have less to talk about. Work becomes their lives. That changes eventually, wait another five year period. You get settled in your career and your focus shifts more towards what’s going on in your actual life.

    You should look up ‘speech communities’. It’s a linguistic anthropology thing. Essentially boils down to ‘people talk differently and about different things depending who they’re talking to and where’. In your case you want a group of work friends to talk about work topics with, separate from your group of childhood friends, who you can talk about non-work topics with.


  • I think there’s a problem with people wanting a fully developed brand new technology right out the gate. The cell phones of today didn’t happen overnight, it started with a technology that had limitations and people innovated.

    AI is a technology that has limitations, people will innovate it. Hopefully.

    I think my favorite potential use case for AI is academics. There are countless numbers of journal articles that get published by students, grad students and professors, and the vast majority of those articles don’t make an impact. Very few people read them, and they get forgotten. Vast amounts of data, hypotheses and results that might be relevant to someone trying to do something good, important or novel but they will never be discovered by them. AI can help with this.

    Of course there’s going to be problems that come up. Change isn’t good for everyone involved, but we have to hope that there is a net good at the end. I’m sure whoever was invested in the telegram was pretty choked when the phone showed up, and whoever was invested in the carrier pigeon was upset when the telegram showed up. People will adapt, and society will benefit. To think otherwise is the cynical take on the same subject. The glass is both half full and half empty. You get to choose your perspective on it.




  • I personally like the roulette every time I make a risky click. Am I going to get some horrific medical gore that doctors use to desensitize themselves, or am I going to get cock and ball torture, maybe it’s a sports illustrated calendar girl, or bread nailed to a tree. Who knows? It’s the internet. A terrible place where you can’t trust someone didn’t intentionally mislabel something just to trick you into watching Rick Astley busting some sick dance moves to a catchy song.
    I suppose they could make differentiating nsfw types an optional thing though.




  • It’s marketing, it’s propaganda, it’s psyops. Influencing what posts make it to the front page, what posts stay in hot, what opinions get upvoted or downvoted just to make them look popular or unpopular. Mass reporting for posts that offend them. Having entirely fake, scripted conversations to convey points in a more trusted manner in order to influence the reader.

    Remember, nobody is immune propaganda.



  • Scholarly articles have ‘impact’ measurements. ie. The impact they have on that field. My understanding is that it’s a combination of # of times it’s been cited, # of times its been downloaded/read with a heavier weighting towards citation. You can filter articles by ‘impact’ in many library databases.
    A theory that is not well accepted will be cited less, even if it’s being cited to be debunked the citations still count as impact, however an article with a greater impact will be cited significantly more which suggests the theory is more compelling.

    As far as my understanding goes.