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Joined 1 year ago
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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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    1 year 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.







  • Sorry, I think you misunderstand that I’m talking about a large scale problem rather than a personal problem. Of course people can individually download videos to preserve.

    Imagine losing YouTube’s videos next week. You would have effectively lost nearly two decades worth of media chronicling human and technological development (more if you take into account that YouTube has repositories of older media).

    Someone described it like the Library Alexandria. In terms of density of information, I think the comparison is apt.

    A good comparison that might be too old for some readers. Back in the 80s and 90s, the early internet was populated via usenet discussions. Google eventually bought this data and merged it into Google Groups. However Google Groups was disbanded. This meant that some archives can no longer be accessed because to do so requires some active component no longer in service. We have effectively lost gigantic chunks of early 90s internet history. A lot of this history was quite important in many facets of life.


  • There is already something like this via the Wayback Machine (who indeed do copies of video media but more typically VHS and other things) and things like the Russian Library genesis, which is kept in torrent format.

    The problem really is that storage for video media is insane compared to storage of document or even photo data.

    If people here haven’t read into it, it’s incredibly interesting to look into the way the Internet Archive works. In particular you have to begin to concern yourselves with how long it takes for HDs, SSDs, and other media to degrade in time.


  • Hmm to be fair with YouTube you don’t think this is now a repository of incredibly valuable resources? If YouTube went down and we lost all videos, we would be losing many important resources, from historical documentaries no longer easily found in media, to guides on woodworking.

    It’s a bit scary. Once you remove the crap, it’s an incredibly valuable library resource and time capsule.


  • I just noticed this.

    As others have mentioned the stars have been largely useless in the last little while so to be honest I’m not sure this has any impact. Even sites that try and give a rating based on fake reviews are not helpful because so many reviews are faked. The only helpful part is to try and read negative reviews.

    I imagine this star fiasco is something that’s easy for browser plugins to reverse.

    I would love to see AI and Machine Learning used to filter out fake reviews. This would actually be useful.


  • Nah this is changing.

    This of course is what they said about tablets. Now people are replacing desktop or laptop workflow with tablets, or alternatively tablets are being designed with removable keyboards so the lines are blurred.

    I know scientific researchers who now only travel to conferences with tablets instead of their laptops.

    Finally, I predict that we’re moving to cloud computing. It’s the natural way. You VPN into a network and your computing is done on a cluster or on a central computer.

    The same is already happening for gaming. People are connecting controllers and glasses like the Xreal Air to phones, then networking into a computer to play a desktop game on their phone.



  • As a scientist I briefly read the Twitter chain by the company with some description of their methodology.

    Honestly I didn’t really follow it and it’s hard to critique based on buzzwords and Tweets. The person who was posting it sounds like a businessman, throwing jargon and words rather than something coherent.

    Ultimately I think that people are surprised by figures like “50% of gamers are female”. It might be 30%, or it might be something else. Maybe asking the questions a certain way biases the responses a certain way.

    It’s hard to glean anything based on what I’ve seen. I don’t have any skin in this game, and I don’t care either way, but all I’ll say is that it’s hard to figure out the truth based on the information available.




  • 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.