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Cake day: June 30th, 2023

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  • Afaik in Canada, you aren’t even breaking any law until you try to leave the premises without paying. Perfectly legal to grab shit from the shelves and stuff it in your pockets as long as you take it out and pay for it before you leave. If you wanted to fuck with their loss prevention people, do that looking as shady as you can, like furtive looks around as you shove things in your clothes, then just pull it all out at the register.

    Note that they can ask you to just leave and ban you from the store without needing to charge you with anything (after which returning at all could get you a trespass charge), so it’s more of a funny prank to think about and then not bother doing because there’s nothing to gain.


  • My point isn’t AI is good or bad, but that the difference is how much it gets leaned on.

    In this case, it’s how AI is (assumed to be) used at MS vs how it was used in the OP.

    MS appears to be heavily leaning on generative AI producing code. In my own experience, that is pretty good these days at responding to a prompt with a series of actions that achieves the desire of the prompt, but is bad at creating an overall cohesion between prompts. It’s like it’s pretty good at making lego blocks but if you try putting it all together, it looks like you built something from 50 different sets, plus the connections between the blocks are flawed enough that it’s liable to collapse the more you put it together.

    In the OP, AI is being used to submit bug reports. This one can be thought of as using an AI to write a book report instead of using an AI to write the book in the first place. If the AI writes a shitty report, it has zero effect on the book itself. But the AI might just include a list of all the typos in its report, which is useful for correcting the errors in the book.

    Also, game studios forgetting to replace placeholders is yet another issue more on the process itself, though it can also show a lack of attention to detail and maybe indicate that an AI was handling more of the process. A decent system would flag all assets for whether they are placeholders or final and then include a review of all flags before publishing to catch something like this.

    So this isn’t a general defense of using AI, I’m just saying that it’s possible to use it without everything it touches turning to slop, but that it often isn’t used like that, resulting in slop.

    And it’ll be easy to fall into the slop trap, what with how it’s always making leaps and bounds inprovements that help with instances of it fucking up but don’t resolve the fundamental issues that will probably mean LLMs will always produce some sort of slop (because everything boils down to some sort of word association, just with a massive set of conditional probabilities encoded into it that gives it the illusion of understanding).


  • The same reason any personal projects (and not using it to diminish what linux projects are but to say that the people working on them do it because they want the project to progress, not because of any financial incentive) can do better then commercial projects: where the passion is at.

    Someone just looking to get paid is more likely to say “ok this is good enough” and move on to the next thing. They are more likely to have managers breathing down their necks to get something done by some arbitrary deadline, too.

    It’s why indie games have been able to compete with AAA games. The latter are following a formula to get paid, plus are more willing to make compromises in the name of either saving costs or increasing revenue. The former just want to make their fun idea reality.

    Also, MS has invested a ton of money into AI and seem to be getting desperate for a return on that. Which means there’s a certain amount of denial about the quality. It’s not just a tool to them, but a tool they desperately need to work and prove it’s worth throwing a ton of money at.

    But for anyone that it’s simply a tool for, it can be useful. They are great rubber duckies. Like my last interaction with one was a case where it did horribly and was completely wrong about what “we were discussing”, but I still got to the right conclusion despite it because going through the conversation helped me think it through.

    And though it makes a lot of mistakes, its feedback isn’t always wrong. The fact that it can rehash previous things from its history means its good at spotting new instances of problema that have already been solved. So accepting bug reports should be fine, just with the understanding that they each need to be looked at and some reports will need to be rejected because they are wrong.


  • Sorry aliens but you’ll need to go back to your science labs because we have since discovered how to compact discs themselves. No more data discs the size of records, we can fit an entire 70 minutes worth of full fidelity (to our ears) digital audio and then surpassed even that and managed to get it up to 74 minutes! 700 times 2 to the power of 23 bits of arbitrary data (or maybe it’s just 700 times 8,000,000, we never did figure out the concept of honestly describing things marketers want to sell), all within our outstretched fingers or around a single extended finger.



  • I did a similar check on cables of various lengths during my undergrad. Basically just took some recording then plugged the output back into the input using cables from just a couple inches long (intended for connecting guitar pedals sitting next to each other) up to around 16 foot (I was a student and had no intention of spending money on 100 foot cables I’d never use again), also various qualities at the low end.

    There was no measurable difference between any of them, whether it was a real audio signal being analyzed or even various types of noise (that tend to load up all of the frequencies).

    The only difference between the different tests was the usual randomness of the lowest order bits on the recording device itself, which I believe is influenced by whatever EM activity is in the area, including the CMB, which can’t be cut out without cutting out the input signal itself unless maybe if you do the test inside a faraday cage.

    And if you’re thinking “oh so then there might be a difference if you cut that randomness out”, yes, but anything you listen to is still more affected by that interference than any cable choice and you probably never noticed that interference in the first place.


  • It’s about 300 samples for an estimate of the distribution with a 95% confidence iirc. That’s assuming the samples are representative (unbiased) and 95% confidence doesn’t mean it’s within 95% of reality, but that 5% of tests run in such a way would be expected to be inaccurate (and there’s no way of knowing for sure which one this particular sample is because even a meta study will have such an error rate, though you can increase the confidence with more samples or studies, just never to 100% unless you study every possible sample, including future ones).






  • Lmao, it was while reading this comment that I realized it wasn’t Semi-Charred Kind of Life, a mistake that ironically helped me see that it was darker than it seemed.

    It makes the line “I want something else to get me through this semi-charred kinda life” pretty obvious that he has negative feelings about it and from that I could guess that there was some kind of pain between the lines, though younger me thought maybe infidelity or some kind of mania (which I guess isn’t too far off the mark).

    That said, despite the hidden tone, that song always makes me feel good. The overt tone is just so upbeat!



  • Ah nice, I see fanta a lot but often skip it because I don’t want to risk feeling kinda crappy. But I’m glad I like water, it’s so refreshing!

    Edit: maybe try a filtering system, because after thinking about it, crappy water isn’t very fun to drink, but my reverse osmosis filtered water is great.






  • Watch some cooking competitions for inspiration and confidence building to give more challenging dishes a try.

    Chef & My Fridge is a good one, though it’s a subtitled Korean show, but the great thing about it is that the challenges are 15 minutes long and take only ingredients from a Korean celeb’s fridge. I had already started trying some tougher dishes from watching Culinary Class Wars, but CMF (which has a bunch of the same chefs btw) really drove home how it doesn’t have to be a long affair with very specific ingredients to make a great dish.

    I still for some reason take forever to get things prepped but once they are ready, I can have restaurant quality soup on the table from scratch in like 30 minutes. The secret is to sear the meats and saute the veggies in the pot before adding water/broth and they’ll quickly release their flavour and make a tasty broth, which then becomes rich when you add a bit of salt, sugar, lemon/lime juice, and soy sauce, like just a pinch or splash of each. Celery, onions, carrots, and poatoes, sliced, diced, and/or julienned. Even better if you start by rendering some bacon and then sauteing the veggies in the bacon grease, which acts as the base of the soup once it’s been tempered with all those flavours.

    Anyways I’m rambling. Lol it’s a great thing to hyperfocus on, though not sure I’d say I’ve saved money because of it, what with the knives and other kitchen stuff I’ve gotten.