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Joined 1 year ago
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Cake day: February 10th, 2025

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  • Another good MVNO, for privacy, is Phreeli. Louis Rossmann (on YT) created a MVNO which collects no data from you, you can even pay cash-by-mail anonymously and with crypto.

    Pretty straight forward value proposition: You pay and they provide phone services, don’t sell your data and design their systems around not collecting your data in the first place or, if collected (like payment information) is used for the transactions and deleted.

    The only information you provide is a zip code (optional, but ties the phone into your area’s 911 system if you’re into that kind of thing)

    I am not an ad bot(OR AM I?)



  • There’s a VERY important distinction here.

    The ‘unlock’ that they are talking about here is to unlock your phone’s SIM to be able to be used with another carrier’s service.

    This does not mean that the bootloader is unlocked and you will not be able to replace the OS. You will still be stuck with Verizon’s spyware-laden release of Android even when you move to a new carrier.

    So, buy your devices directly from the manufacturer and make sure that the phone supports the ability to unlock (and re-lock!) the bootloader. If you need a recommendation, get a current generation Pixel and install GrapheneOS or if you won’t give up Google Play and dependent apps, LineageOS.





  • (the 3rd one is out soon-ish? if not now?)

    End of Feb (the 26th?), these sales seem to be to promote the launch of Part 3.

    I played the 2nd one with a friend for a few hours last night. I appreciate the humor, the music selection is above average, the movement feels good and every time we died it was due to us being dumb. No bugs (playing on Linux, with GE-Proton10-27), runs great on maximum settings.

    We were having an easy time by going on a murder spree, then we noticed that the game gives you rank medals for speed, avoiding kills and avoiding detection so we started playing to maximize the end-score. Those constraints make the puzzles a bit harder and I can see wanting to run a level multiple times in order to get it right.

    Overall, it’s a fun experience, does the stealth thing competently and the graphics/music/animations/dialog is good.






  • Comments and votes only represent the population of people who were compelled by interact and your view of the comments represents a selection of comments that are sorted by the majority’s votes. Reddit-style comment sections tend to only lean one way, because the majority population pushes the majority opinions to the top (and the dissent to the bottom).

    This meme is often used and demonstrates this (Survivorship Bias if you want to read on the topic)

    That being said, if the argument is all one-sided then we have a comment section full of people who were so incensed by the comment in the OP that they felt compelled to respond to (allegedly) a Greenlander. Then the comments, I’d hazard to guess include some creative writing/LLM comments, are full of people attacking the ignorance of the statement.

    So, what inspired those feelings of outrage if nobody is taking the other side of the conversation? Who created the conflict that made people write pages of angry comments addressed at Greenlanders? It wasn’t a Greenlander, it was the OP.

    The OP who also seems to leave these same kinds of little conversational bombs in various communities.



  • That is it exactly.

    Even 24 hour news only has so many seconds of time to put things on the screen and you only have so many hours to try to understand what is happening in the world.

    There news gets chopped up into TikTok or Tweet-sized memes which contributes to the distortion (consider a Tweet vs a Last Week Tonight show on any topic), each of those memes are evolved and signal boosted by social media and out the other end of the algorithm pops content that maximally compels your attention which is flavored with the bias from the recommendation algorithm (i.e. What ever bias Elon/Zuck/ByteDance wants to introduce: suppressing Gaza protest coverage, promoting alt-right viewpoints, etc)

    Look at the screen time on your phone, what percentage of your day is spent being told what you’re going to read next by an algorithm?

    The motivations of the algorithm are not to maximize your understanding or knowledge or tether to reality, they are to make you scroll one more page. People can see how effective large AI systems, like LLMs, can be when deployed at scale.

    Recommendation algorithms are also machine learning, but with less pre-IPO hype and they are just as powerful and are deployed at a scale where almost every person on Earth has their world view affected by them.

    They have to go or be severely regulated. They can be useful when they recommend you books or movies, but when they’re the gatekeeper of information for the majority of the population then they are informational weapons of mass destruction and should be regulated as such.