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Gaming (Mass Effect, Witcher, and too much Satisfactory)

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I live for 90s TV sitcoms

  • 34 Posts
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Joined 1 year ago
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Cake day: June 2nd, 2023

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  • I went on facebook as an experiment for a couple of weeks, try it out again, even take part.

    Algorithm quickly caught on that I liked some interests - transit, trains, Taylor Swift, and EVs.

    It was fine for a while, made a few comments, engaged with a few people, both who agreed and not.

    All of a sudden over the last week I’m seeing just pure propaganda - BS “headlines” like “50% of Americans regret buying their EV”. Absolutely unproven horseshit, but there it is.

    Facebook is absolutely culpable in this mess. They straight up promote it, and for me I was pro all of that stuff, it switched on me.




  • Not a bad reason to want to play as yourself at all, but after the first playthrough or so then it’s time to start experimenting. One of the great things about RPGs is that you can be someone else entirely, and I think it opens us up to other ways of thinking. Playing as female shepard is at times a completely different experience, and you just want to explore it. It’s the guys who are afraid of playing as a woman, who think it’s not masculine or something weird like that. That’s not okay, drop the masculinity, be the awesome femshep bitch you were born to be. Plus to them, I like to say, “Why would I want to stare at a guy’s ass for 100+ hours?” Usually fucks with their masculinity a bit













  • Which is why as an engineer I can either riddle with a prompt for half an hour… Or just write the damn method myself. For juniors it’s an easy button, but for seniors who know how to write these algorithms it’s usually just easier to write it up. Some nice starter code though, gets the boilerplate out of the way


  • Scrubbles@poptalk.scrubbles.techtomemes@lemmy.worldAI bell curve
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    7 days ago

    This was exactly my experience. Freaked myself out last year and decided best thing was to dive headfirst into it to figure out how it worked and what it’s capabilities are.

    Which - it has a lot. It can do a lot, and it’s impressive tech. Coded several projects and built my own models. But, it’s far from perfect. There are so so so many pitfalls that startups and tech evangelists just happily ignore. Most of these problems can’t be solved easily - if at all. It’s not intelligent, it’s a very advanced and unique prediction machine. The funny thing to me is that it’s still basically machine learning, the same tech that we’ve had since the mid 2000s, it’s just we have fancier hardware now. Big tech wants everyone to believe it’s brand new… and it is… kind of. But not really either.