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Cake day: September 27th, 2023

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  • The information was key for a wrongful death case the survivor and the victim’s family were building against Tesla, but the company said it didn’t have the data.

    Then a self-described hacker, enlisted by the plaintiffs to decode the contents of a chip they recovered from the vehicle, found it while sipping a Venti-size hot chocolate at a South Florida Starbucks. Tesla later said in court that it had the data on its own servers all along.

    Joel Smith, Tesla’s attorney, said in an interview that the company was “clumsy” in its handling of the data but did not engage in any impropriety with regard to it. “It is the most ridiculous perfect storm you’ve ever heard,” Smith said, in an effort to explain why Tesla was unable to produce the collision snapshot data until after the hacker retrieved it for the plaintiffs.

    In court, Smith told jurors in his opening statement that Tesla would “never think about hiding” the data because it proved that the driver had time to react to the pedestrians standing by their parked car had he been paying attention.

    “We didn’t think we had it, and we found out we did,” he said. “And, thankfully, we did because this is an amazingly helpful piece of information.”

    For reference, here is a poem called the Narcissist’s Prayer:

    That didn’t happen.
    And if it did, it wasn’t that bad.
    And if it was, that’s not a big deal.
    And if it is, that’s not my fault.
    And if it was, I didn’t mean it.
    And if I did, you deserved it.

    If I was on the jury or I was the judge in a non-jury trial and this happened, I would have pushed for the largest decision possible. No company or person should be allowed to act like this.


  • I thought there was a chance that AlexisFR would respond without realizing that I was repeating the important part of the koan as a joke, because you don’t always see the context when looking at replies to your comments. But I didn’t expect that a random person who had apparently just read the koan 5 seconds earlier would already have forgotten it.




  • Really? I thought it had a lot of problems. Weird editor’s notes in a bunch of places that add nothing. An intro that is too long.

    Some of the arguments were just plain wrong. For example, the argument that it’s obvious that the internet is good for ordering books is an argument from incredulity. And on top of that, people did argue exactly what he’s saying they wouldn’t argue. I remember. I was there.

    Most of the general advice is good, and I agree with the premise of the article, but it didn’t strike me as one of the best blogs ever.


  • The problem with LLMs and other generative AI is that they’re not completely useless. People’s jobs are on the line much of the time, so it would really help if they were completely useless, but they’re not. Generative AI is certainly not as good as its proponents claim, and critically, when it fucks up, it can be extremely hard for a human to tell, which eats away a lot of their benefits, but they’re not completely useless. For the most basic example, give an LLM a block of text and ask it how to improve grammar or to make a point clearer, and then compare the AI generated result with the original, and take whatever parts you think the AI improved.

    Everybody knows this, but we’re all pretending it’s not the case because we’re caring people who don’t want the world to be drowned in AI hallucinations, we don’t want to have the world taken over by confidence tricksters who just fake everything with AI, and we don’t want people to lose their jobs. But sometimes, we are so busy pretending that AI is completely useless that we forget that it actually isn’t completely useless. The reason they’re so dangerous is that they’re not completely useless.





  • logicbomb@lemmy.worldtoxkcd@lemmy.worldxkcd #3127: Where Babies Come From
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    1 month ago

    I am not enough of an expert in the other fields to compare how stupid those answers are, but the software engineer seems like it is quite different to the others.

    For the other professions, it seems to me, as a layman in those fields, that they are applying their own fields’ jargon to come up with a silly answer. But in the case of an an off-by-one error, some software engineer had to make an error. They had to be bad at their normal job. The other professions seem like they are simply too good at their normal jobs to have common sense elsewhere. That’s why software engineer seems quite different.

    It really feels like the parallel answer for software engineers would be something to do with “multiple inheritance” or “mixins”.



  • I am not sure how many times I’ve been mistaken for ChatGPT, but I don’t think my writing style is actually very similar.

    I’m pretty sure that when people say that, most of the time, they actually mean, “I want to disagree with what you’re saying, but I lack the ability to do so legitimately. If I simply accuse you of using an LLM, people will assume I’m right and I will ‘win’.”


  • You can actually get LLMs to swear, sort of. They just won’t use real swear words. If you set up your LLM parameters to use a specific word for an expletive, but it’s not actually an expletive, then you can replace that word with your choice of expletive after the text is generated.


  • Claim:

    • I use bullet points in every post

    Fact Check:

    Out of your 36 comments, this is the only one with bullet points. That’s only 2.7% of your comments. One other has an enumeration, but an enumeration is not bullet points.

    Additionally, you have one post, but that also doesn’t use bullet points. 0% of your actual posts use bullet points.

    Conclusion: Claim is FALSE. Ziffy-fa-Jazz-KZone-Sweek’em does not use bullet points in every post.




  • My understanding is that a lot of it has to do with the Steam Deck, which is Valve’s handheld gaming platform. Valve wanted it to run most of their catalog, but they also decided to use Windows emulation rather than Windows, so they forked Wine and put some money and effort into improving it.

    But some games are harder to run than others.

    If you use Steam, it might be as easy as installing it from Steam, because sometimes the games are multi-platform. FTL is an example of this that I currently have installed. But it seems like more and more game developers want their games to run on the Steam Deck, so they release native Linux versions. (Ironically, I think FTL doesn’t run well on the Steam Deck.)

    Some games run simply by telling the Steam launcher to use Proton as a compatibility tool. So, the only hard part is choosing which version of Proton to run, which involves picking it from a list inside of Steam, which then downloads that version of Proton, and then trying the game. And if it doesn’t run well, then try a different version of Proton and iterate. IIRC Rocket League is a game like this. On my computer, it seems to run best with the latest Proton beta. For me and my 5 year old computer, it doesn’t run as perfectly as well as it did in Windows, as it can stutter a bit when there are explosions on screen, but for me, it doesn’t seem to impact my play. And it takes longer to load, but I don’t think it’s possible for an emulated game to load faster on the same hardware.

    And some games require you to look up how to install them, and you end up having to install some Windows things into your Proton runtime using something called Protontricks. Skyrim is an example. It took a lot of fiddling to get it set up and the audio working correctly. But now I can’t really tell the difference between how it runs in Windows vs. Linux, except that it takes longer to load in Linux.