• 16 Posts
  • 22 Comments
Joined 3 years ago
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Cake day: June 14th, 2023

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  • What do you do? You can’t detain the girl. So she leaves and what? You call the cops and say “I fucked up and hit someone with my van.” Who does that help? Now shes lost in the crowd. You can’t just stay there, so you drive away. What else is there to do?

    Even if every charitable assumption you’ve made is correct, you and every reasonable person knows exactly what he should have done.

    You said it yourself. You man up, you call the cops, you tell them “I fucked up and hit someone with my van”, and that there is a human being that needs help. That’s it. That’s what you do. That’s what every single person should have done.

    It seems to me you’re trying to engage in healthy dialogue, but “That’s a ragebait title” is just not true; the headline does, in fact, summarize events rather well.

    The adult, the driver of the car, that hit and injured another human, let alone a kid, bears 100% of blame and took none of the responsibility.


  • Someone needs to DM to remind me (if you’re interested), but I built a pretty clever stack with all the arrs, a failsafe vpn network tunnel, dynamic dns, deluge, Jellyfin, jellyseer, reverse proxy. The works.

    It’s dead simple to use (my mother runs it no problem). There is a semi-manual setup process, but a few mildly tech literate friends got it running in a couple hours.

    Built for Windows, all deployed on docker. Works fine on Linux/Mac also.

    The reason I’m not sharing it in this comment is I never intended to share it publicly and want to ensure my repo is sanitized of any PII.

    If you’d like, hit me up sometime.




  • What gets me about this photo is how fundamentally unserious the whole scene appears. The body language of nearly everyone, the lack of focus, the shabbiness of it all… just embarrassing. I’ve seen high school clubs looking more competent and serious.

    I know this is just an aesthetics thing, but it gets to me. 🤷








  • Considering the actual post here, plus just decent manners, if you like a book, and you’re able, it’s worth considering supporting the author of said book.

    That being said, you should seriously consider going to your search engine of choice and searching for an archive by a person named Anna: Anna’s Archive if you will. You might find something helpful and interesting.





  • Thanks for providing this update. You added some sources and data that I didn’t know, and your last point clearly articulates the set of likely causes of this misstep.

    When I first became aware of this story my gut-reaction was “I fucking hate unforced errors like this!”; I’m now very curious why this happened the way it did. Mind you, in the grand scheme of things I suspect this is nothing more than a fleeting political blip.








  • I can try to explain, but there are people who know much more about this stuff than I do, so hopefully someone more knowledgeable steps in to check my work.

    What does ‘random’ or ‘noise’ mean? In this context, random means that any given bit of information is equally as likely to be a 1 or a 0. Noise means a collection of information that is either random or unimportant/non-useful.

    So, you say “Compression saves on redundant data”. Well, if we think that through, and consider the definitions I’ve given above, we will reason that ‘random noise’ either doesn’t have redundant information (due to the randomness), or that much of the information is not useful (due to its characteristic as noise).

    I think that’s what the person is describing. Does that help?


  • I’m not an Information Theory guy, but I am aware that, regardless of how clever one might hope to be, there is a theoretical limit on how compressed any given set of information could possibly be; and this is particularly true for the lossless compression demanded by this challenge.

    Quote from the article:

    The skepticism is well-founded, said Karl Martin, chief technology officer of data science company Integrate.ai. Martin’s PhD thesis at the University of Toronto focused on data compression and security.

    Neuralink’s brainwave signals are compressible at ratios of around 2 to 1 and up to 7 to 1, he said in an email. But 200 to 1 “is far beyond what we expect to be the fundamental limit of possibility.”





  • Michael Lewis wrote an interesting book on this, published as an audio-book in 2018, called The Coming Storm (https://www.goodreads.com/book/show/41016100-the-coming-storm). It’s well worth the listen:

    In his first Audible Original feature, New York Times best-selling author and journalist Michael Lewis delivers hard-hitting research on not-so-random weather data — and how Washington plans to release it. He also digs deep into the lives of two scientists who revolutionized climate predictions, bringing warning systems to previously unimaginable levels of accuracy. One is Kathy Sullivan, a gifted scientist among the first women in space; the other, D.J. Patil, is a trickster-turned-mathematician and a political adviser.

    Most urgently, Lewis’s narrative reveals the potential cost of putting a price tag on information with the potential to save lives, raising questions about balancing public service with profits in an ethically-ambiguous atmosphere.