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Joined 1 year ago
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Cake day: February 9th, 2025

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  • Sure, if you go in with the idea that the ban won’t impact their social media usage then it obviously follows that it won’t impact their usage. And that might be true for a while, but:

    • Declining usage compounds and any barrier to entry drops users. Reddit wouldn’t be suing to stop this if they didn’t think it was a major threat to their platform.
    • The single largest factor in platform membership is peer membership, and the most influential peers in adolescent development will always be real life friends
    • A cohort aging up doesn’t mean that the next cohorts will automatically follow. Late millennials weren’t tied to Facebook, Gen Z wasn’t married to Snapchat, a drop in TikTok usage will eventually precipitate a need to migrate somewhere else
    • Global social media usage, by human screen time, has been declining from its 2022 peak (excluding a North American exception), with the largest drop among younger users

    Putting all of this together, it seems very plausible that child bans could hasten this decline. It would probably work twice as well if more public money was directed to alternatives (third spaces, clubs, etc…).





  • I’ll take a crack at it:

    • It’s a massive privacy/surveillance concern. Look at the issues that come with doorbell cams and now multiply the number of cameras and scatter them all over
    • It’s another platform for mega corporations to track and sell data to advertisers or any malicious actors, but at an entirely new intrusive level. They no longer have to approximate what’s getting your attention when they literally know what has your attention. Good luck anonymizing or hiding your usage when you can’t spoof the real world in front of you.
    • It’s unnecessary e-waste, at best providing the exact same functionality you’d get from your phone with the added benefit of… not reaching into your pocket? You still need a free hand to use it…
    • It’s a distraction in a way that other tech can’t touch. Pedestrians/drivers getting notifications shoved directly into their eyes won’t end well.
    • It probably has all the same inherent problems as previous generations of smart glasses. Primarily: your eyes aren’t designed for extended/repeated focus on an image less than an inch from your face and at the edge of your vision

  • As I said in another comment, the reason to not get on their bad side is the fact they’re a highly insular and powerful gang that just so happen to be in charge of his protection detail for his entire (hypothetical) term.

    It’s easy to tweet the truth to power until that corrupt power is the only thing stopping the next Maga nut from taking a shot at you. Whole situation is completely unsurprising and not a mark against his character for me.





  • But it’s not possible to get unbiased content on the internet. Everything exists with an agenda behind it, for the sole reason that hosting anything is going to constantly cost money.

    This wasn’t a huge deal when individuals were paying to host and share content to a small audience, it was a small amount of money and you could see their motives clearly (a forum for a hobby, a passion project, an online store, etc…).

    Social media is different because it presents itself as a public forum where anything can be shared and hosted (for free) to as many people as you want. But they’re still footing a very large bill and the wide net of content makes their motives completely opaque. Nobody cares that much about the headaches of maintaining a free and open public forum, and any profit motive is just another way to sell manipulation.


  • How many trillions of neuron firings and chemical reactions are taking place for my machine to produce an output? Where are these taking place and how do these regions interact? What are the rules for storing and reshaping memory in response to stimulus? How many bytes of information would it take to describe and simulate all of these systems together?

    The human brain alone has the capacity for about 2.5PB of data. Our sensory systems feed data at a rate of about 109 bits/s. The entire English language, compressed, is about 30MB. I can download and run an LLM with just a few GB. Even the largest context windows are still well under 1GB of data.

    Just because two things both find and reproduce patterns does not mean they are equivalent. Saying language and biological organisms both use “bytes” is just about as useful as saying the entire universe is “bytes”; it doesn’t really mean anything.



  • If you want to boil down human reasoning to pattern recognition, the sheer amount of stimuli and associations built off of that input absolutely dwarfs anything an LLM will ever be able to handle. It’s like comparing PhD reasoning to a dog’s reasoning.

    While a dog can learn some interesting tricks and the smartest dogs can solve simple novel problems, there are hard limits. They simply lack a strong metacognition and the ability to make simple logical inferences (eg: why they fail at the shell game).

    Now we make that chasm even larger by cutting the stimuli to a fixed token limit. An LLM can do some clever tricks within that limit, but it’s designed to do exactly those tricks and nothing more. To get anything resembling human ability you would have to design something to match human complexity, and we don’t have the tech to make a synthetic human.