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Cake day: June 9th, 2023

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  • Because I was originally planning on just having the plate of cheese until I discovered there were a couple of leftover tortillas which would make the “meal” marginally less miserable.

    Though I think that melting it on the tortilla wouldn’t have worked as well: the melted cheese had a wee layer of oil which I poured off onto a paper towel; also, to melt the cheese, I had to do it in a few short blasts, rearranging/“stirring” the cheese each time. I think that had I done this on the tortilla, it would have become a soggy mess.

    Your question is a good one though, and I hadn’t considered it until I read your comment.



  • I used to know someone who worked on Assassin’s Creed 3 (and probably other games, but idk). They told me about how surreal and disheartening it was to work somewhere so bafflingly huge. The part of the game they worked on was small and insignificant, but they were the kind of person to take pride in small things done well, and as such, they were pleased with what they had made. It was insignificant in the grand scheme of things, but this was something that they had made, and they didn’t mind being a small cog.

    That is, until the game released and they got to see the rest of the game. They were immensely disappointed to see that clearly many components of the game didn’t have nearly the same amount of care put into them, and furthermore, coordination between different teams/systems was poorly executed. The game wasn’t bad (imo), but it was fairly meh, and it certainly felt undeserving of the effort my friend put into it.

    They ended up checking out somewhat from their work after that, because they became disillusioned with the idea of being a small cog in a big machine — part of what allowed them to do such good work was that they immersed themselves in what they and their immediate team were working on, but that approach only works if you can trust that the rest of the project is well managed and resourced.

    I fell out of contact with that friend, but I often think about them, and how effectively they captured the dismay they felt to realise that in a big machine like Ubisoft, it’s probably naive to care about your work. One of their colleagues had the thing they made not even feature in the game — it was cut, fairly last minute (and they didn’t even find out until release). This story was striking because it highlights how, even in soulless AAA games, churned out by corporate behemoths, there are people who do genuinely care about their work (until the company grinds that care into dust as they wring their workers dry). It’s quite tragic, actually.


  • I agree that season 1 is far more engaging but imo, that’s mainly because the level of intrigue that I felt at the beginning of the story was insane — they were great at keeping that intrigue rolling in an interesting way. But that kind of mystery can only last so long, because it grows weaker as the audience learns more about the characters and world.

    I think there was a part of me that felt disappointed by season 2 simply by the fact it couldn’t give me what I felt during season 1, and actually, I wouldn’t want that — the final episodes of a series shouldn’t have the same kind of tension of the beginning of the story.

    Overall, I’d say that season 1 is excellent (in particular, there were some visually impressive and stylish sequenced that I loved) — Riveting" was the word OP used. Season 2 is also decent. I don’t recall it feeling rushed, and it does end decently.


  • Something I’ve thought about a bunch re: recommendation engines is the idea of a “sweet spot” that balances exploration and safety

    Though actually I should start by saying that recommendation engines tend to aim to maximise engagement, which is why manosphere type content is so prevalent on places like YouTube if you go in with a fresh account — outrage generates engagement far more reliably than other content. I’m imagining a world where recommendation algorithms may be able to be individually tailored and trained, where I can let my goals shape the recommendations. I did some tinkering with a concept like this in the context of a personal music recommender, and I gave it an “exploration” slider, where at maximum, it’d suggest some really out-there stuff, but lower down might give me new songs from familiar artists. That project worked quite well, but it needs a lot of work to untangle before I can figure out how and why it worked so well.

    That was a super individualistic program I made there, in that it was trained exclusively from data I gave it. One can get individual goals without having to rely on the data of just one person though - listenbrainz is very cool — its open source, and they are working on recommendation stuff (I’ve used listenbrainz as a user, but not yet as a contributor/developer)

    Anyway, that exploration slider I mentioned is an aspect of the “sweet spot” I mentioned at the start. If we imagine a “benevolent” (aligned with the goals of its user) recommendation engine, and say that the goal you’re after is you want to listen to more diverse music. For a random set of songs that are new to you, we could estimate how close they are to your current taste (getting this stuff into matrices is a big chunk of the work, ime). But maybe one of the songs is 10 arbitrary units away from the boundary of your “musical comfort zone”. Maybe 10 units is too much too soon, too far away from your comfort zone. But maybe the song that’s only 1 unit away is too similar to what you like already and doesn’t feel stimulating and exciting in the way you expect the algorithm to feel. So maybe we could try what we think is a 4 or 5. Something novel enough to be exciting, but still feels safe.

    Research has shown that recommendation algorithms can change affect our beliefs and our tastes [citation needed]. I got onto the music thing because I was thinking about the power in a recommendation algorithm, which is currently mostly used on keeping us consuming content like good cash cows. It’s reasonable that so many people have developed an aversion to algorithmic recommendations, but I wish I could have a dash of algorithmic exploration, but with me in control (but not quite so in control as what you describe in your options 3). As someone who is decently well versed in machine learning (by scientist standards — I have never worked properly in software development or ML), I think it’s definitely possible.


  • Mine work somewhat okayish, which is within the margin of error I need them for. I think there was one that was terrible though.

    Mostly I use them for the temperature aspect, mostly for reminding me if it’s too hot or cold in my room (because due to my autism, I often don’t notice whether I’m at a comfortable temperature). I have a few scattered about my room and basically they act as a visual prompt to consciously ask myself if I’m at a comfortable temperature, and to act as a rough backup to whatever I’m feeling (because even when I’m consciously aware that my temperature is feeling Bad, I can’t reliably tell whether I’m too hot or cold, so these terrible thermometers at least help me answer “should I get a blanket, or open a window?”


  • I agree with you about the core of the problem, but the reason the monopoly is the thing being focussed on is because that’s the legal basis against Google that we have right now (speaking as someone who enthusiastically followed the proceedings).

    The crucial bit now that Google has been deemed an illegal monopolist is how this gets resolved, because of the possible remedies to this situation, some are better for user privacy, and some are worse. This is an opportunity to do some real good here on that front.

    Unfortunately, as I understand it, actually getting to a solution will take time, because of how Google will try to haggle down whatever remedy is suggested. This seems likely to be easier to do under a Trump administration.




  • A friend of mine lived with an electrolysis tech for a while, and she got basically all her legs done for free over the course of multiple years. I experienced it a few times — I imagine the pain is similar to how a tattoo would hurt.

    For me, the cost was by far, the most expensive part. Sucks to be ginger






  • starting to write and then cancel my post.

    I get what you mean, I do a lot of that myself. Although it’s unfortunate that I often find it easier to hit send when replying to internet strangers than I do when messaging my friends. I suspect it’s because online feels far lower stakes, even though my friends would be far more charitable to a poorly articulated idea than the internet would.

    If it helps, I don’t think you should feel bad about cancelling unwritten messages. Maybe sometimes you don’t actually know enough to have an opinion on a topic, so refraining is the wise thing. Maybe other times, you have Thoughts, but they’re still sort of fermenting in your head and they’re not quite ready yet. Or maybe you’ve distilled your Thoughts down so that you know what message you want to convey, but you don’t think that this particular conversation is the right time or place for them (possibly due to realising you’re in conversation with someone who isn’t arguing in good faith and continuing would be unproductive). These (and more) are all valid and good reasons to not actually submit a post or comment you start writing.

    The advice that I try to give myself is that we’re under enough pressure as it is without helping more on unnecessarily. Sometimes that pressure is because we have something that we desperately want to say, but it’s hard to articulate it in a way that doesn’t feel like we’re dishonouring the meaning of what we intend. That pressure is hard to counter because it’s coming from the weight of the thing we want to say, but I ease it by reasoning that the important ideas will find their own way out of our heads and into the world, if given time, and that they will still be important.

    I figure that there’s an infinite array of conversations on the internet that could’ve happened but didn’t. It’d be a shame if we let the conversations that never ended up happening distract us from other conversations that we’re actually having. Which is all to say that it’s okay if you start replying to this comment and cancel it. Maybe in the next life thread, eh?


  • I tend to play it at my friends’ New Year holiday, which is a context where we have like, 12 different decks of playing cards to pick from, which helped with that scoring issue. Regarding the cards taking a beating, that scans with my experience — there was a sort of communal pool of cards and games during the holiday, so it was fuzzy about who owned what, there were a couple of sets of playing cards that weren’t meant to be used to play racing demons (they did seem pretty fancy).

    I seem to recall that an issue we faced somewhat (even with a pretty large diversity of playing cards styles) was that some styles were harder to read than others (such as due to stylised card designs, or low contrast colour etc.). We had 3-4 decks that were equally easy to read, yet visually distinct enough for scoring, so we were good most of the time. If there were more than 4 at the table, it’d start getting trickier and people would have to start using decks that were harder to read (I.e. decks like this. We tended to rotate the decks each game, so if there were awkward decks in play, it wasn’t the same person using it each time at least. I wonder if the other issue you describe with playing cards is this contrast/readability problem that arises when having to find cards with different backs.