• 3 Posts
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Joined 5 months ago
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Cake day: June 5th, 2026

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  • Probably nothing, but at least the people running our instances aren’t directly involved in doing it to us. The people behind this community aren’t pretending that it’s OK to exploit other people who are just trying to connect with each other. And even if OpenAI still slurps up our data, Sam Altman and the other AI billionaires don’t make as much money off of us because they don’t own Lemmy.world and don’t profit off of any deals or ads here. These things make a big difference to me.





  • yeah, but the protein folding AI is a totally different kind of technology from what OP is talking about. AlphaFold has nothing to do with Ollama or whatever.

    vaguely related: I kinda think society should scrap the term “AI.” I mean, my washing machine has an “AI” setting that… senses the amount of laundry in the load? Lol. Sure, we’ll call that AI. “AI” is such a mess of a term that it’s practically meaningless.


  • Ethical training data could exit, but I don’t think public domain/creative commons/licensed are quite good enough (almost no one who contributed knew what AI would become until recently, and some of those people are still alive). Although that’s better.

    A truly ethical training dataset for AI would be one that everyone who created the training data opted into. And I don’t mean their employer or photography sharing platform signed a license deal, I mean they personally opted in. If AI is so great, I’m sure plenty of people will be happy to contribute their art, photos, writing, code, social media posts, etc. All the pro-AI people can just band together and make their own dataset to use.

    That doesn’t solve all the other issues with generative AI, but it would make a huge difference.





  • I’m older but have the same sense you have. I think your best bet is to choose a career to pursue based on the kind of contribution you’d like to make to the world.

    Right now, AI is mostly changing the way some jobs are done. Other new tech will probably contribute to more of those kinds of changes. If you choose a career primarily based a skillset you like using, I think there’s a good chance you’ll end up very disappointed later when the way the jobs are done changes. But if you choose based on impact and then develop a range of skills (especially people skills!), you’re more likely to end up OK.

    You mentioned that programming and urban development interested you. Urban development seems more directly about making a certain kind of impact, so in your shoes, I’d go that direction. That said, I don’t know why you’re interested in programming, and maybe there’s an impact you want to make in that field too.

    I made the mistake of choosing a career based on a skillset. New technology has reduced jobs in my field, but the much larger problem is that I hate the way the jobs are done now. I could probably stay motivated and do the extra shit needed to survive in that career in the longer term if I still felt like it made a positive impact on society, but the field itself doesn’t make the world better. So I made a shift into a new industry, although I’m not expecting stability from this one either, and it’s not one that would make sense for you based on your post.


  • It wasn’t always a Meta product. Also, by the time everyone started finding out how evil Facebook was, Whatsapp was too entrenched for people to easily switch to something else, not when all their friends and family members were using it.

    In a lot of places, SMS is/was more expensive (and Whatsapp seen as affordable/available) around the time Whatsapp took off. If you’re from somewhere like a relatively small EU country where you’re more likely to want to message people from other countries, there’s also the issue of international rates. So SMS had more disadvantages in some places and wasn’t necessarily as widely adopted as in the US. And some places didn’t have quite the same progression from dumb phone texting to smartphone texting that the US had, either because of costs or lacking infrastructure. More people skipped the widespread dumb phone texting phase, and internet access was expanding. So there was no reason not to use a cheaper internet-based service from a provider people didn’t think was evil at the time.





  • I’m not sure your example is really about curating. It sounds like you’re most concerned with whether something is a faithful adaptation, which effectively means you want to collect the original version and whatever matches it.

    As for how I curate things, I mostly don’t… the closest I get is building a collection based on “what do I like/find most impactful”. Or I guess sometimes I simply discard things I’m not using. I suppose I “curated” my bookshelf by adding books I like, giving away a few that I didn’t like or thought someone else needed more, and organizing the books in a way that only makes sense to me. Which is to say, I didn’t curate it at all. True curation would probably look more like a Goodreads account with notes about why I liked the books I gave 5 stars.

    edit: my understanding of real curation is that it involves placing art in context. You present it in a way that is informative and maybe inspiring. Part of it is about choosing what to include/not include in a collection/display, yes, but a lot of it is about conveying what the art is about, using the art to tell a story or peek into how a historical trend developed, etc. Choosing what to keep is only a small part of it.



  • Interesting, I had the opposite experience. The light would work for a few weeks or so and then something would randomly disconnect, so sometimes I’d try to turn the light on and end up with an obnoxious blinking light until I went through the whole pairing process again. It was like the app forgot the bulb existed.

    edit: never mind, just realized that I mixed Govee up with a different brand/app. Govee has been fine in my experience. Feit’s the one that was a problem.





  • There are people in all kinds of industries claiming AI is helping them do their job 30% faster or whatever, so presumably you’ll be “left behind” if you don’t catch up to their pace. In reality, those “30% faster” people are often producing at least 50% worse quality work. So it may come down to whether you can persuade your potentially AI-obsessed boss that maintaining quality matters enough to not adopt a faster but far more problematic process. You might not actually be left behind in terms of producing valuable work, but your boss might decide your team is being “left behind” if you don’t use AI to generate workslop or meet increasingly unrealistic deadlines.