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Cake day: June 9th, 2023

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  • Ooh, interesting. I’m kind of surprised to find that I do feel more comfortable with It/Its actually, not so much because of the logical “promotion and demotion cancel out” aspect, but because it’s two atypical constructions combined, and that almost pushes it out of intuitive meaning entirely for me. I know the context and convention for each one individually but nothing for both of them at the same time, so I think I’m more open to allowing a meaning to be defined that isn’t hierarchical if It assures me that it isn’t. (Pure grammar bonus points in that last sentence where this type of capitalization happens to remove an ambiguity!) For He/Him and She/Her, though, I find it hard to set aside the established meaning because it’s in wide use and has been for quite some time. Maybe that’s a rigidity that deserves to be bent, people push back on the more “out there” neopronouns for similar reasons, but I think it’s likely that most people will instinctively react negatively when encountering this, and it’s going to be difficult for what I have to imagine is a very small group of people to change the general understanding to something more acceptable.


  • Hmm… this makes me uncomfortable, and although I don’t think it’s internalized phobia or anything like that, I want to interrogate that discomfort to see if I can nail it down.

    I do think it’s difficult or maybe impossible to decouple this practice from indications of power for most people. The only instances of capitalized pronouns in common use that I’ve seen are the God and Jesus usage, and in some circles, capitalizing pronouns for a dominant in a role play context. “I” getting capitalized is also there, kind of, but that’s not a power thing because it’s not special, everyone is expected to use it as a language rule. I’ve also seen things like “oh, sure, that’s what They want you to think” or, not quite a pronoun, something like “they want you to fear The Other,” maybe less of a power thing but definitely a signal of additional weight and meaning above and beyond the word’s usual sense.

    I think this is the main source of my discomfort, that this practice is currently used almost exclusively at least as “this word is being used in a special and important context, pay extra attention” and going as far as “I am explicitly signaling that the person being referred to is superior.” I don’t use He/Him pronouns for God or Jesus because I don’t belong to those religions and don’t see those entities that way, and I have a fundamental belief in the equality of all humans that makes me uncomfortable putting a person on a pedestal like that.

    I feel uncomfortable about it/its pronouns as well for the same reason, I don’t like the idea of dehumanizing or objectifying a person, but in that case I actually have some friends who use them. It’s easier to take a “well, if it makes you happy, it’s no harm to me” attitude if it’s asking for a “demotion” so to speak, I think. The personal connection probably does help too, I don’t know anyone who wants capitalized pronouns myself.

    I’ve seen Dan Savage use capital pronouns to refer to dominants when answering letters, but that seems to me like Dan stepping into the letter writer’s scene space and choosing to go along with the “rule” while he’s there giving advice, kind of a “good houseguest” thing. I don’t think that’s something that the rest of us are obligated to do as a rule. I’d push back on a friend insisting that I refer to their dominant with capitalized pronouns, because whatever their relationship is with each other, their dom isn’t my dom, and I didn’t agree to that hierarchy, they did.

    I think the other discomfort is more of a language and grammar thing, which obviously is less important than an actual person’s comfort (see also, the old “they is always plural” chestnut) so I’m not going to assert that this is a reason to disregard a person’s wishes, and language rules are subject to change. But in general capitalization is not all that significant in English, which we know because something written in all caps or in all lower case usually has no meaning removed. Words at the start of sentences, proper nouns, and “I” get capitalized, and that’s mostly it. It’s mostly about readability, because ALL CAPS DOESN’T HAVE AS MUCH CONTRAST but when used sparingly as we usually do, important words stand out with a capital letter. “Demanding” that a particular word be used to refer to yourself in the form of pronouns is in the same ballpark as choosing your own name, obviously completely reasonable and acceptable, but “demanding” that special language rules be used about yourself feels a step beyond that. I don’t want to cross into “oh so could you identify as an attack helicopter too” territory, but I do wonder about some of the boundaries on this. Lots of people habitually write in all lowercase, would it be disrespectful to say “oh yeah i saw larry at the empire state building and had a conversation with him” if Larry uses He/Him pronouns? Would Larry be upset about both the name and pronouns, or just the pronouns? I don’t think most people would get up in arms about their proper name getting de-capitalized in that context which seems like further evidence that capitalization isn’t normally a meaningful aspect of the writing, it’s a more mechanical and practical rule, so insisting that for certain people it does need to be made significant feels like more of an imposition to me, and comes right back to the “you need to treat Me as special and more important” feeling that I have.


  • Okay, after watching the video twice I think I know what the fuck he’s talking about. He thinks that you’ll request a mail in ballot, go to the polls, they’ll say you already voted, and then you triumphantly show the world that you didn’t vote, you still have the blank ballot, and obviously they’ve put in a vote for Joe Brandon under your name, is what they’ve done, those bastards. He has done a terrible job of explaining his plan, aside from it also being a bad plan.

    As a former election judge in Minnesota, I can tell you exactly how this would go in real life in that state (where, to brag a bit, we have a very progressive voting system that makes it very easy to vote, all the things Republicans hate). You’d get your mail in ballot, then show up to your polling place with your blank ballot. Then when you ask to vote, they’ll say “yep, sure, come on in” and you can just go in and vote as normal.

    (The rule is that even if you request an absentee ballot, you can still cast a vote as normal, and even if you have mailed it in, either they have already counted it and then the registration system will bar you from voting in person, or if you get there before it gets processed and vote in person instead, they’ll toss it out when they get to it.)

    Worst case scenario, the election judges see that you’re carrying around an absentee ballot, and they’ll ask you to get rid of it because no one wants ballots floating around a polling place that aren’t valid. That’s the only thing I can think of that would be cause for a Republican to make a ruckus, but… like… yeah, you can’t just bring extra ballots to the polling place. And they won’t scan into the machine because they’re the wrong type. I really, really want to see videos of these people trying to catch the evil Democrats and then just, like, being treated normally though. (Even better if they raised a ruckus and then didn’t actually vote.)


  • OPML files really aren’t much more than a list of the feeds you’re subscribed to. Individual posts or articles aren’t in there. I would expect that importing a second OPML file would just add more subscriptions, but it’d be up to the reader app to decide what it does.



  • If you ask an LLM to help you with a legal brief, it’ll come up with a bunch of stuff for you, and some of it might even be right. But it’ll very likely do things like make up a case that doesn’t exist, or misrepresent a real case, and as has happened multiple times now, if you submit that work to a judge without a real lawyer checking it first, you’re going to have a bad time.

    There’s a reason LLMs make stuff up like that, and it’s because they have been very, very narrowly trained when compared to a human. The training process is almost entirely getting good at predicting what words follow what other words, but humans get that and so much more. Babies aren’t just associating the sounds they hear, they’re also associating the things they see, the things they feel, and the signals their body is sending them. Babies are highly motivated to learn and predict the behavior of the humans around them, and as they get older and more advanced, they get rewarded for creating accurate models of the mental state of others, mastering abstract concepts, and doing things like make art or sing songs. Their brains are many times bigger than even the biggest LLM, their initial state has been primed for success by millions of years of evolution, and the training set is every moment of human life.

    LLMs aren’t nearly at that level. That’s not to say what they do isn’t impressive, because it really is. They can also synthesize unrelated concepts together in a stunningly human way, even things that they’ve never been trained on specifically. They’ve picked up a lot of surprising nuance just from the text they’ve been fed, and it’s convincing enough to think that something magical is going on. But ultimately, they’ve been optimized to predict words, and that’s what they’re good at, and although they’ve clearly developed some impressive skills to accomplish that task, it’s not even close to human level. They spit out a bunch of nonsense when what they should be saying is “I have no idea how to write a legal document, you need a lawyer for that”, but that would require them to have a sense of their own capabilities, a sense of what they know and why they know it and where it all came from, knowledge of the consequences of their actions and a desire to avoid causing harm, and they don’t have that. And how could they? Their training didn’t include any of that, it was mostly about words.

    One of the reasons LLMs seem so impressive is that human words are a reflection of the rich inner life of the person you’re talking to. You say something to a person, and your ideas are broken down and manipulated in an abstract manner in their head, then turned back into words forming a response which they say back to you. LLMs are piggybacking off of that a bit, by getting good at mimicking language they are able to hide that their heads are relatively empty. Spitting out a statistically likely answer to the question “as an AI, do you want to take over the world?” is very different from considering the ideas, forming an opinion about them, and responding with that opinion. LLMs aren’t just doing statistics, but you don’t have to go too far down that spectrum before the answers start seeming thoughtful.


  • In its complaint, The New York Times alleges that because the AI tools have been trained on its content, they sometimes provide verbatim copies of sections of Times reports.

    OpenAI said in its response Monday that so-called “regurgitation” is a “rare bug,” the occurrence of which it is working to reduce.

    “We also expect our users to act responsibly; intentionally manipulating our models to regurgitate is not an appropriate use of our technology and is against our terms of use,” OpenAI said.

    The tech company also accused The Times of “intentionally” manipulating ChatGPT or cherry-picking the copycat examples it detailed in its complaint.

    https://www.cnn.com/2024/01/08/tech/openai-responds-new-york-times-copyright-lawsuit/index.html

    The thing is, it doesn’t really matter if you have to “manipulate” ChatGPT into spitting out training material word-for-word, the fact that it’s possible at all is proof that, intentionally or not, that material has been encoded into the model itself. That might still be fair use, but it’s a lot weaker than the original argument, which was that nothing of the original material really remains after training, it’s all synthesized and blended with everything else to create something entirely new that doesn’t replicate the original.


  • The problem is the jokes aren’t funny. Or even really jokes. It’s just the same hateful garbage that you’ll find in any right wing comment section with no clever twist or respect for the humanity of the people being made fun of. It’s all variations on “haw haw, these people are pretending to be something they’re not, ew gross”. It’s not true, it’s not “keeping it real”, it’s not insightful, and anyone who actually knows or cares about the trans community knows that hearing that all the time will drive some people to kill themselves. Maybe even worse than that, it’ll foster that attitude in people even less compassionate that Dave Chappelle, who I don’t think has any particular malice toward individual trans people, but he’s telling those who do that they’re right.

    There’s definitely humor to be had about the trans community, just visit any trans meme board and you’ll find it. There are stereotypes and self-deprecation and tons of really dark humor going on. What’s coming out of Chappelle’s mouth isn’t that, it’s just undercooked right wing bigotry.



  • “There was a particular bad guy near them” and “they all probably have bad opinions about Jews” are not sufficient justifications for indiscriminately bombing innocent people. What if there had been an Israeli leader at that rave? People in both refugee camps and at a music event should be able to exist without fear that they’ll die because they were near the wrong person. One seems to provoke a different reaction than the other for some reason though, and that might be worth thinking about.


  • These models aren’t great at tasks that require precision and analytical thinking. They’re trained on a fairly simple task, “if I give you some text, guess what the next bit of text is.” Sounds simple, but it’s incredibly powerful. Imagine if you could correctly guess the next bit of text for the sentence “The answer to the ultimate question of life, the universe, and everything is” or “The solution to the problems in the Middle East is”.

    Recently, we’ve been seeing shockingly good results from models that do this task. They can synthesize unrelated subjects, and hold coherent conversations that sound very human. However, despite doing some things that up until recently only humans could do, they still aren’t at human-level intelligence. Humans read and write by taking in words, converting them into rich mental concepts, applying thoughts, feelings, and reasoning to them, and then converting the resulting concepts back into words to communicate with others. LLMs arguably might be doing some of this too, but they’re evaluated solely on words and therefore much more of their “thought process” is based on “what words are likely to come next” and not “is this concept being applied correctly” or “is this factual information”. Humans have much, much greater capacity than these models, and we live complex lives that act as an incredibly comprehensive training process. These models are small and trained very narrowly in comparison. Their excellent mimicry gives the illusion of a similarly rich inner life, but it’s mostly imitation.

    All that comes down to the fact that these models aren’t great at complex reasoning and precise details. They’re just not trained for it. They got through “life” by picking plausible words and that’s mostly what they’ll continue to do. For writing a novel or poem, that’s good enough, but math and physics are more rigorous than that. They do seem to be able to handle code snippets now, mostly, which is progress, but in general this isn’t something that you can be completely confident in them doing correctly. They make silly mistakes because they aren’t really thinking it through. To them, there isn’t really much difference between answers like “that date is 7 days after Christmas” and “that date is 12 days after Christmas.” Which one it thinks is more correct is based on things it has seen, not necessarily an explicit counting process. You can also see this in things like that case where someone tried to use it to write a legal brief, where it came up with citations that seemed plausible but were in fact completely made up. It wasn’t trained on accurate citations, it was trained on words.

    They also have a bad habit of sounding confident no matter what they’re saying, which makes it hard to use them for things you can’t check yourself. Anything they say could be right/accurate/good/not plagiarized, but the model won’t have a good sense of that, and if you don’t know either, you’re opening yourself up to risk of being misled.


  • There just isn’t much use for an approach like this, unfortunately. TypeScript doesn’t stand alone enough for it. If you want to know how functions work, you need to learn how JavaScript functions work, because TypeScript doesn’t change that. It adds some error checking on top of what’s already there, but that’s it.

    An integrated approach would just be a JavaScript book with all the code samples edited slightly to include type annotations, a heavily revised chapter on types (which would be the only place where all those type annotations make any difference at all, in the rest of the book they’d just be there, unremarked upon), and a new chapter on interoperating with vanilla JavaScript. Seeing as the TypeScript documentation is already focused on those exact topics (adding type annotations to existing code, describing how types work, and how to work with other people’s JavaScript libraries that you want to use too), you can get almost exactly the same results by taking a JavaScript book and stapling the TypeScript documentation to the end of it, and it’d have the advantage of keeping the two separate so that you can easily tell what things belong to which side.


  • The Fairness Doctrine only survived the 1st Amendment because the airwaves are a public resource: each area only has one electromagnetic spectrum, and the sections of it that are useful for broadcasting are limited enough that not everyone can have a useful slice of the pie. As such, if you’re lucky enough to get a slice, the government gets to have a lot more control than they normally do over how you use it. You’re using something that belongs to all of us but only a few people get permission to use, so you have to do your part to serve the public good in addition to the programming you want to broadcast.

    Cable has none of that scarcity, since we can have effectively as many cables in an area as we want, and each cable can be stuffed with more signal than the airwaves can, since you don’t have to worry about whether any given frequency can pass through walls or buildings, just copper. Without that, the government can no longer justify dictating content.



  • That’s part of the point, you aren’t necessarily supposed to have an empty mind the whole time. I mean, if you can do that, great, but you aren’t failing if that’s not the case.

    Imagine that your thoughts are buses, and your job is to sit at the bus stop and not get on any of them. Just notice them and let them go by. Like a bus stop, you don’t really control what comes by, but you do control which ones you get on board and follow. If you notice that you’ve gotten on a bus, that’s fine, just get off of it and go back to watching. Interesting things can happen if you just watch and notice which thoughts go by, and it’s good practice for noticing what you’re thinking and where you’re going and taking control of it yourself when it’s somewhere you don’t want to go.


  • I use TiddlyWiki for, well, a bunch of my projects, but primarily for my task management. You can use it as a single HTML file, which contains the entire wiki, your data, its own code, all of it, and of course use it in any browser you like. Saving changes is a bit of a pain until you find a browser extension or some other way of enabling more seamless editing than re-saving the edited wiki as another single HTML file, but there are many solutions to that as described on their site above.

    The way I use it, which is more technical but also logistically simpler, is by running their very minimal Node.JS server which you can just visit and use in any browser which takes care of saving and syncing entirely.

    The thing I like about TiddlyWiki is that although on its surface it’s a quirky little wiki with a fun party trick of fitting into an HTML file, what it actually is is a self-contained lightweight object database with a simple yet powerful query language and miniature front-end web development environment which they have used to implement a quirky little wiki. Each “article” is an object that is taggable and has key/value data, and “widgets” can be used in the text to edit and display that data, pulling from the “database” using filters. You can use it to make simple web apps for yourself and they come together very quickly once you know what you’re doing, and the entire thing is a demonstration of a complex web app that is also possible. The wiki’s implemented entirely using those same tools, and everything is open for you to tweak and edit to your liking.

    I moved a Super Bowl guessing/fake gambling game that I run from a form and spreadsheet to a TiddlyWiki and now I can share an online dashboard that live updates for everyone and it was decently easy to make and works really well. With my task manager, I recently decided to add a feature where I can set an “agenda” value on any task, and they all show up in one place, so I could set it as “Boss” and then quickly see everything I wanted to bring up in our next 1 on 1 meeting. It took just a few minutes to add the text box to anything that gets tagged “Task” and then make another page that collected them all and displayed them in sections.



  • This is the key with all the machine learning stuff going on right now. The robot will create something, but none of them have a firm understanding of right, wrong, truth, lies, reality, or fiction. You have to be able to evaluate its output because you have no idea if the robot’s telling the truth or not at that moment. Images are pretty immune to this because everyone can evaluate a picture for correctness or realism, and even if it’s a misleading photorealistic image, well, we’ve already had Photoshops for a long time. With text, you always have to keep in mind that the robot might be low quality or outright wrong, and if you aren’t equipped to evaluate its answers for that, you shouldn’t be using it.


  • There is never going to be a case where the world misses the answer to the ultimate question of life, the universe, and everything because it was said by a Nazi and everyone refused to listen to the Nazi. When it’s clearly straight up propaganda, it’s perfectly rational to dismiss it due to the source and not investigate further. If there’s a valid and useful point to be made, it’ll get made in more respectable sources too and then it might be time to pay attention. Plus, even if they do cite sources, it’s hard to spot where they’ve twisted or lied about those sources, but it’s really easy for the propagandist to spout whatever nonsense they believe because they don’t care about the truth. That asymmetry is good for the Nazi and bad for decent people, and the way to fix that is don’t waste your time carefully investigating and critiquing Nazi bullshit.