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Cake day: June 8th, 2023

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  • …are you serious?

    There would be so much data in understanding people’s light usage. For example, you could figure out how late or early people get up, number of people living in a house, how crowded the house is, how many lights are used per room, etc etc. it would be a gold mine of information.

    Let’s say you’re a home automaton designer. You want to design devices to be used in the home, but in order to design such devices, you need enough of a stockpile of user data. This lightbulb data would be incredible valuable.

    You can probably even analyse the data and determine things like whether someone is watching tv late at night.

    From a nefarious view, how valuable would this data be to robbers and thieves?


  • phario@lemmy.catoLinux@lemmy.mlHyprland is a toxic community
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    10 months ago

    Hmmm. If abuse happens, is the right idea to say that “I don’t need this community”?

    I’m not sure how that HackerNews comment helps in the slightest. If my university has an obscure basket weaving community and people are getting abused in that community, should I just say “Eh we don’t actually need a basket weaving community”.

    It’s also amusing to me that a commenter on a relatively obscure and niche website is complaining that that don’t need (or care about abuse that transpired on) a niche community from another website. And then this comment is echoed in yet another niche community.






  • Yes.

    I think with something like this you have to do a literature search. Even then it’s kind of tough because I’m sure it’s very hard to do objective tests of these traits.

    You might say that any activity has similar aspects. Learning a difficult passage in music, learning to speak languages, learning to throw a basketball through a hoop, etc.

    I’m not sure there is a huge amount of evidence that video games teach resilience any more than any other similar activity. Moreover, it’s easily the kind of thing that our biases set us up to believe things that aren’t there. For every person who learned resilience from video games, there might be three other people who learned poor lessons, like “I should be lazy and play video games and not study for my exams.”

    With academic or professional resilience, I can’t say I’ve seen any positive correlation with video games.

    I could easily argue that excessive video game play makes you less resilient to doing non-video-game challenges.





  • I haven’t read the replies but there was a very interesting episode by Derek Thomson’s Plain English podcast which I found incredibly interesting.

    Derek made the conjecture that we were on a cusp of a big paradigm shift in the Internet.

    For the last 20 years, it was essentially about building a consumer basis. So companies like Netflix and Facebook and Amazon did not care about current profits. The point was to just get consumers, drive out the competition, and commandeer the monopoly.

    Now and especially post Covid companies like Twitter are realising that this isn’t going to work. The next movement is going to all be about paying models. This is what we’re seeing with Twitter. This is what we’re seeing with OnlyFans or Patreon.

    So in light of the above comments, none of this is surprising. The next era will be about paid models of the internet.

    I need to find that episode as it was extremely prophetic. It might have potentially been this one https://open.spotify.com/episode/2zRha9y46btKdAfwfHpvQ5?si=_jkP3iX7TXOesHLsoY9Vxw


  • Part of the problem with AI is that it requires significant skill to understand where AI goes wrong.

    As a basic example, get a language model like ChatGPT to edit writing. It can go very wrong, removing the wrong words, changing the tone, and making mistakes that an unlearned person does not understand. I’ve had foreign students use AI to write letters or responses and often the tone is all off. That’s one thing but the student doesn’t understand that they’ve written a weird letter. Same goes with grammar checking.

    This sets up a dangerous scenario where, to diagnose the results, you need to already have a deep understanding. This is in contrast to non-AI language checkers that are simpler to understand.

    Moreover as you can imagine the danger is that the people who are making decisions about hiring and restructuring may not understand this issue.