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Joined 2 years ago
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Cake day: June 5th, 2023

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  • I linked it because I recall it having a lot of cogent points and being relevant, and because I don’t remember off the top of my head the specific allegations, I didn’t want to dig through a two hour video I’ve already seen at the exact moment of writing because I only had so much time and research to dedicate to a Lemmy comment. It’s valid to be annoyed by a long video linked as an argument, but my comment was a “too long didn’t watch” version of it… that actually left out some details like the founder also being a fucking eugenicist.

    I also use an adblocker, and the vid has some opinions obviously but was mostly going over evidence, recordings, and related allegations.

    You don’t have to watch it if you don’t want to. I linked it as a secondary source. While primary sources are preferable and it might have been a good idea to do the legwork myself, I wanted something posted quick to maybe make people think twice on the “donate to TST” call to action in the initial comment.




  • >dinner is done
    >announce dinner
    >everyone shows up 10 minutes later

    Some of the food is cold because I didn’t cover it, but why should I? It would have been fine if they came to the table when I announced dinner.

    >next day
    >dinner is almost done
    >remembering yesterday, I decide to announce dinner 10 minutes early so that 10 minutes later is “on time”
    >everyone arrives to the table immediately, remembering that it was cold yesterday not wanting that to happen again
    >mfw


  • Ashelyn@lemmy.blahaj.zonetome_irl@lemmy.worldme_irl
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    8 months ago

    So I’m just curious, where the hell did all the wonderbread hate come from? It’s like suddenly everyone has a vendetta against it. I’m not particularly fond of it myself in lieu of traditional bread but like, it’s fine?? The added sugar/HFCS is fucked but I’m pretty sure you can buy varieties that don’t have that.



  • I mean, even if they’re broadly unenforceable, companies include them anyways as a means of intimidation. This FTC decision basically puts up a giant neon sign telling everyone “yeah this isn’t legal” which makes it pretty cut and dry. Big companies thrive on ambiguity because that’s where an expensive lawyer comes in to argue the case whichever way; they will have a much harder time doing that now.






  • I had to resolder the switches on my G Pro Wireless. I absolutely love the mouse but they use pretty much the cheapest Omron switches they can, unless that’s changed recently.

    Was surprisingly not terrible to take apart and reassemble but you do have to pull off the adhesive-applied low-friction sliders at the bottom, so I would recommend buying replacement ones if you find yourself in that situation. Doesn’t help that I also had a $150 mousepad that goes with it that’s proprietary to specific Logitech gaming mice.

    For what it’s worth I only did it because I absolutely love the mouse and setup; I love the design and weight plus the convenience of a low-latency wireless mouse that literally never runs out of battery.


  • That’s fair. I think fundamentally a false positive/negative isn’t that much different. Pretty much all tests—especially those dealing with real world conditions—are heuristic, as are all LLMs by necessity of the design. Hallucination is a pretty specific term given to AI as an attempt to assign agency to a system that doesn’t actually have any (by implying it’s crazy and making stuff up instead of a black box with deterministic inputs and outputs spitting out something factually wrong but with a similar format to what is trained on). I feel like the nature of any tool where “you can’t trust this to be entirely accurate” should have an umbrella term that encompasses both types of providing inaccurate info under certain conditions.

    I suppose the difference is that AI is a lot more likely to randomly go off, whereas a blood test is likelier to provide repeated false positives for the same person with their unique biology? There’s also the fact that most medical tests represent a true/false dichotomy or lookup table, whereas an LLM is given the entire bounds of language.

    Would an AI clustering algorithm (say, K-means for instance) giving an inaccurate diagnosis be a false positive/negative or a hallucination? These models can be programmed on a sliding scale and I feel like there’s definitely an area where the line could get pretty blurry.



  • I mean, AI is used in fraud detection pretty often; when it hits a false positive (which happens frequently on a population-level basis), is that not a hallucination of some sort? Obviously LLMs can go off the rails much further because it’s readable text, but any machine learning model will occasionally spit out really bad guesses almost any person could have done better with. (To be fair, humans are highly capable of really bad guesses too).