The real (economic) AI apocalypse is nigh

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“OK,” the young man said, “but what can we do about the crash?” He was clearly very worried.

“I don’t think there’s anything we can do about that. I think it’s already locked in. I mean, maybe if we had a different government, they’d fund a jobs guarantee to pull us out of it, but I don’t think Trump’ll do that, so –”

“But what can we do?

We went through a few rounds of this, with this poor kid just repeating the same question in different tones of voice, like an acting coach demonstrating the five stages of grieving using nothing but inflection. It was an uncomfortable moment, and there was some decidedly nervous chuckling around the room as we pondered the coming AI (economic) apocalypse, and the fate of this kid graduating with mid-six-figure debts into an economy of ashes and rubble.

I firmly believe the (economic) AI apocalypse is coming.

I’m not sure I entirely agree with Doctorow on this one. I’ll probably read his upcoming book on the subject, though.

I agree that, based on the ways in which AI is being used, financed, and marketed… we’re absolutely in an unsustainable bubble. There’s a lot of fishy accounting, dubious business models, and overpromised marketing. I’m not saying AI’s useless: it’s not! But it’s yet proven itself to be revolutionary, nor even on the path to being so, and it’s so expensive that it seems unlikely that the current “first dose is free” business model is almost-certainly unsustainable.

But I’m not convinced that a resulting catastrophic economic collapse is inevitable. Maybe I’m over-optimistic, but I like to imagine that the bubble can fizzle-out gradually and the actually-valuable uses of AI can continue to be used in a sustainable way. (I’m less-optimistic that we’ll find a happy-solution to prevent AI from being used to rip off artists, but that’s another story.)

But we’ll see.

Is it possible to allow sideloading *and* keep users safe?

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Terence Eden raises some valid points:

I’ve tried to be pragmatic, but there’s something of a dilemma here.

  1. Users should be free to run whatever code they like.
  2. Vulnerable members of society should be protected from scams.

Do we accept that a megacorporation should keep everyone safe at the expense of a few pesky nerds wanting to run some janky code?

Do we say that the right to run free software is more important than granny being protected from scammers?

Do we pour billions into educating users not to click “yes” to every prompt they see?

Do we try and build a super-secure Operating System which, somehow, gives users complete freedom without exposing them to risk?

Do we hope that Google won’t suddenly start extorting developers, users, and society as a whole?

Do we chase down and punish everyone who releases a scam app?

Do we stick an AI on every phone to detect scam apps and refuse to run them if they’re dodgy?

I don’t know the answers to any of these questions and – if I’m honest – I don’t like asking them.

Google’s gradual locking-down of Android bothers me, too. I’ve rooted many of my phones in order to unlock features that I benefit from (as a developer… and as a nerd!), and it’s bugged me on the occasions where I’ve been unable to run had to use complicated workarounds to trick e.g. a bank’s app. Having gone to the effort to root a phone – which remains outside of the reach of most regular users – I’d be happy to accept an appropriate share of the liability if my mistake, y’know, let a scammer steal all of my money.

That’s the risk you take with any device on which you have root, and it’s why we make it hard to the point of being discouraging. Because you can’t just put up a warning and hope that users will read and understand it, because they won’t. They’ll just click whatever button looks like it’ll get them to the next step without even glancing at the danger signs1.

I’m glad to have been increasingly decoupling myself from Google’s ecosystem, because I’ve been burned by it too. Like Terence, I’ve been hit by “real name” policies that discriminate against people with unusual names or who might be at risk of impersonation2. But I’m not convinced that there’s a good alternative for me to running Android on my mobile devices, at the moment: I really enjoyed Maemo back in the day; what’s the status of Sailfish nowadays?

I get that we need to protect people from dangerous scammy apps. But I’d like to think there’s a middle-ground somewhere between Doctrowian “it’s your device, you’re responsible for what runs on it” and the growing Apple/Google thinking of “if we don’t have the targetting coordinates of the developer that wrote the code, our OS won’t let you run it”. I’m ready to concede that user education alone hasn’t worked, but there’s got to be a better solution than this, Google.

Footnotes

1 Incidentally, I don’t blame users for this behaviour. Users have absolutely been conditioned, and continue to be conditioned, to click-without-reading. Cookie and privacy banners with dark patterns, EULAs and legal small print are notoriously (and often unnecessarily) long and convoluted, and companies routinely try to blur the line between “serious thing you should really read but we want you not to” and “trivial thing that you don’t need to read; it’s just a formality that we have to say it”.

2 Right now, my biggest fight with Google has come from the fact that lately, it seems like every time I upload a Three Rings demo video to YouTube it gets deleted under their harassment policy for doxxing people… people like “Alan Fakename” from Somewhereville, “Betty Notaperson” from Otherplace, and their friend “Chris McMadeup” who lives at 123 Imaginary Street. The appeals process turns out to be that you click a button to appeal, but don’t get to provide any further information (e.g. to explain that these are clearly-fake people who won’t mind being doxxed on account of the fact that they don’t exist), and then a few hours later you get an email to say “nah, we’re keeping it deleted”. I almost expect the YouTube version of my recent video demonstrating FreeDeedPoll.org.uk will be next to be targetted by this policy for showing me scribbling the purported signature Sam McRealName, formerly known as Jo Genuine-Person.

Railways won’t tell us how their train tickets work – shall we force them to?

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In 2024, we each seperately submitted Freedom of Information requests to our country’s railway operators, asking for specification about how their barcodes worked. This has made a lot of people very angry and has been widely regarded as a bad move.

This talk details the drama, lies, and nonsense, that ensued as seemingly every part of the UK’s and Slovenian rail industry set out to stop us from getting access to the documents we requested.


Train tickets in the UK can be issued in two formats: on security card stock, or as a barcode on a mobile phone. Being the curious beings we are, we were curious about what was in those barcodes. What information on us is processed in them? How do they encode our journeys? Can we do anything interesting with their contents?

In spite of knowledge from the reverse engineering work about these tickets’ use of public/private key cryptography, and the absolute non-issue of making public keys, well, public, seemingly every part of the UK rail industry put Q’s picture on their office dartboard and vowed to never let them have these documents.

A really interesting-sounding session at MRMCD 2025 in a couple of weeks, by that other hacker called Q. Wish I could be there… but failing that, perhaps the talk, or at least the discoveries, will make their way onto the open Internet?

Developing an alt text button for images on my website

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Mastodon shows an “Alt” button in the bottom right of images that have associated alt text. This button, when clicked, shows the alt text the author has written for the image.

The Mastodon user interface showing an "Alt" button in the bottom left corner that is toggled and shows the alt text for the image: "Pink daisy flower on a piece of driftwood"

After using this button a few times, I realised how much I appreciated reading the alt text for an image. Reading the alt text helped me better understand an image. In some cases, I saw posts where the alt text contained context about an image I otherwise would not have had (i.e. the specific name of the game from which a screenshot was taken).

Like James, I’ve also long enjoy Mastodon’s tools to help explore alt-text more-easily, but until I saw this blog post of his I’d never have considered porting such functionality to my own sites.

He’s come up with an implementation, described in his post, that works pretty well. I find myself wondering if a <details>/<summary> UI metaphor might be more appropriate than a visually-hidden checkbox. Where CSS is disabled or fails, James’ approach displays a checkbox, the word “ALT”, and the entire alt text, which is visually confusing and will result in double-reading by screen readers.

Image with its alt text displayed afterwards, on the other side of a checkbox and the word 'ALT'.A <details>/<summary> approach would be closer to semantically-valid (though perhaps I’m at risk of making them a golden hammer?), and would degrade more gracefully into situations in which CSS wasn’t available.

Still, a wonderful example of what can be done and something I might look at replicating during my next bout of blog redesigning!

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Acai plays “Musical Transients” by Psynwav on Clone Hero

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Turns out I’m not quite done obsessing over Musical Transients (previously, previouslier), and I found this video of a YouTuber playing the album on Clone Hero, because the album’s got an official Clone Hero chart to download and play.

Anyway: Acai turns out to be not only a kickass Clone Hero player, but he’s also a fun and charismatic commentator to take along for the ride.

Incidentally, it was fun to see that the same level of attention to detail has been paid to the on-screen lyrics for Clone Hero as were to the subtitles on the video version of the album. For example, they’ll sometimes imply that the next line is what you’re expecting it to be, based on a familiarity with the song, only to bait-and-switch it out for the actual lyrics at the last second. Genius.

sophie reviews Psynwav – Musical Transients

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Yesterday I shared Psynwav’s Musical Transients, with which I’ve become briefly obsessed. Shortly after my post, an AOTY user posted a very positive review of the album that strongly echoes my interpretation of it.

Do I need a “spoiler warning” here? Part of what made the album wonderful for me was coming in blind and not understanding that, somehow, it was both a mashup collection and a concept album. I’d seriously recommend listening to it yourself and making your own mind up first, before you read my or anybody else’s interpretation of the themes of the piece.

But assuming that you already listened to it, or that you’re ignoring my suggestion, here’s sophie’s review:

… what?

I am floored. Absolutely flummoxed. This is the first album in a minute to leave me completely speechless. Trying to express how incredible what the fuck I just listened to was is more than difficult, but I suppose I can try because this album is unbelievably underrated and deserves a million times the attention it’s currently getting. There are really two main pillars holding this up (don’t overthink that analogy, no, a building with two pillars wouldn’t hold up but that doesn’t matter shut up), those being the execution and the concept. On a purely technical level, this album is unbelievable. These mashups are so well-achieved, so smooth and believable and un-clunky. The execution of the record is to such a high standard it almost tricks you, like the best mashup albums do, into believing the pieces of song were always meant to be in this iteration. Purely from a how-does-it-sound perspective, Musical Transients is remarkable.

But the second pillar, the one that really shook me to my core, is the concept. Don’t read past this point if you don’t want it to get spoiled. Essentially, the narrator of Musical Transients is a person who realizes he is a she. It’s a trans self-realization project, and one handled with an unbelievable amount of telling care. The mashups are placed together in a very purposeful manner to express this story chronologically, and the result is a pretty incomparable arc and deeply involving experience. Despite not a single note being original, you really feel the person behind the screen making it, their story. And despite the subject matter often being focused on the confusion and depression a trans person might feel, Musical Transients feels more like a towering celebration of trans identity and existence than a depressive meditation on trans suffering. It’s a remarkable feat of storytelling and mashup production that just works on so many different levels. To me, it has to be among the most impeccably crafted, achingly beautiful albums of the year.

Yes. Yes, this.

I absolutely agree with sophie that there are two things which would individually make this an amazing album, but taken together they elevate the work to something even greater.

The first aspect of its greatness is the technical execution of the album. Effortless transitions1 backed by clever use of pitch and tempo shifts, wonderfully-executed breakspoints between lines, within lines, even within words, and such carefully-engineered extraction of the parts of each of the component pieces that it’s hard to believe that Psynwav doesn’t secretly have access to the studio master recordings of many of them2.

But the second is the story the album tells. Can you tell a story entirely through a musical mashup of other people’s words? You absolutely can, and Musical Transients might be the single strongest example.

I was perhaps in the third or fourth track, on my first listen-through, when I started asking myself… “Wait a minute? Is this the story of a trans person’s journey of self-discovery, identity, and coming out?” And at first I thought that I might be reading more into it than was actually there. And then it took until the tremendous, triumphant final track before I realised “Oh shit, that’s exactly what it’s about. How is it even possible to convey that message in an album like this?”

It’s possible I’d have “got it” sooner had my first listen-through had been to the the “music video version” of the album, which features visual clues both subtle3 and less-subtle, like… well, the colours in this blinds-transition.

This is a concept album unlike any other that I’ve ever heard. It tells a heartwarming story of trans identity and of victory in the face of adversity. You’re taken along with the protagonist’s journey, discovering and learning as you go, with occasional hints as the the underlying meaning gradually becoming more and more central to the message. It’s as if you, the listener, are invited along to experience the same curiosity, confusion, and compromise as the past-version of the protagonist, finding meaning as you go along, before “getting it” and being able to celebrate in her happiness.

TV screen showing pencil-outlined text that reads 'am I a...girl?"
I wish I’d watched the music video version first. Maybe I should be recommending that to people.

And it does all of this using a surprising and entertaining medium that’s so wonderfully-executed that it can be enjoyed even without the obvious4 message that underpins it.

Okay, maybe now I can be done gushing about this album. Maybe.

Footnotes

1 See what I did there… no, wait, not yet…

2 Seriously: how do you isolate the vocals from the chorus of We Will Rock You while cleanly discarding the guitar sounds? They’re at almost-exactly the same pitch!

3 A subtle visual affordance in the music video might the VHS lines that indicate when we’re being told “backstory”, which unceremoniously disappear for the glorious conclusion, right after Eminem gets cut off, saying “My name is…”.

4 Yes, obvious. No, seriously; I’m not reaching here. Trans identity is a clear and unambiguous theme, somehow, without any lyrics explicitly talking about that topic being written; just the careful re-use of the words of other. Just go listen to it and you’ll see!

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Will Smith’s concert crowds are real, but AI is blurring the lines

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This is the age we’re shifting into: an era in which post-truth politics and deepfake proliferation means that when something looks “a bit off”, we assume (a) it’s AI-generated, and (b) that this represents a deliberate attempt to mislead. (That’s probably a good defence strategy nowadays in general, but this time around it’s… more-complicated…)

So if these fans aren’t AI-generated fakes, what’s going on here?

The video features real performances and real audiences, but I believe they were manipulated on two levels:

  1. Will Smith’s team generated several short AI image-to-video clips from professionally-shot audience photos
  2. YouTube post-processed the resulting Shorts montage, making everything look so much worse

I put them side-by-side below. Try going full-screen and pause at any point to see the difference. The Instagram footage is noticeably better throughout, though some of the audience clips still have issues.

The Internet’s gone a bit wild over the YouTube video of Will Smith with a crowd. And if you look at it, you can see why: it looks very much like it’s AI-generated. And there’d be motive: I mean, we’ve already seen examples where politicians have been accused (falsely, by Trump, obviously) of using AI to exaggerate the size of their crowds, so it feels believable that a musician’s media team might do the same, right?

But yeah: it turns out that isn’t what happened here. Smith’s team did use AI, but only to make sign-holding fans from other concerts on the same tour appear to all be in the same place. But the reason the video “looks AI-generated” is because… YouTube fucked about with it!

It turns out that YouTube have been secretly experimenting with upscaling shorts, using AI to add detail to blurry elements. You can very clearly see the effect in the video above, which puts the Instagram and YouTube versions of the video side-by-side (of course, if YouTube decide to retroactively upscale this video then the entire demonstration will be broken anyway, but for now it works!). There are many points where a face in the background is out-of-focus in the Instagram version, but you can see in the YouTube version it’s been brought into focus by adding details. And some of those details look a bit… uncanny valley.

Every single bit of this story – YouTube’s secret experiments on creator videos, AI “enhancement” which actually makes things objectively worse, and the immediate knee-jerk reaction of an understandably jaded and hypersceptical Internet to the result – just helps cement that we truly do live in the stupidest timeline.

Musical Transients

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Musical Transients from Psynwav1 is without a doubt the best mashup/mixtape-album I’ve heard since Neil Cicierega’s Mouth Moods (which I’ve listened to literally hundreds of times since its release in 2017). Well-done, Psynwav.

It’s possible, of course… that my taste in music is not the same as your taste in music, and that’s fine.

Footnotes

1 If you’ve heard of Psynwav already it’s probably thanks to 2021’s Slamilton, which is probably the best Space Jam/Hamilton crossover soundtrack ever made.

Four perspectives on AI

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A two-axis graph labeled 'Beliefs about AI' with the x-axis of 'Transformative' and the y-axis of 'Positive'. The field is divided into four quadrants: 'Skeptical' in the bottom-left, 'Wary' in the bottom-right, 'Pragmatist' in the top-left, and 'Optimist' in the top-right.

I’ve grouped these four perspectives, but everything here is a spectrum. Depending on the context or day, you might find yourself at any point on the graph. And I’ve attempted to describe each perspectively [sic] generously, because I don’t believe that any are inherently good or bad. I find myself switching between perspectives throughout the day as I implement features, use tools, and read articles. A good team is probably made of members from all perspectives.

Which perspective resonates with you today? Do you also find yourself moving around the graph?

An interesting question from Sean McPherson. He sounds like he’s focussed on LLMs for software development, for which I’ve drifted around a little within the left-hand-side of the graph. But perhaps right now, this morning, you could simplify my feelings like this:

The same graph with a hand-drawn arrow moving from the Skeptical to the Pragmatic quadrants.My stance is that AI-assisted coding can be helpful (though the question remains open about whether it’s “worth it”), so long as you’re not trying to do anything that you couldn’t do yourself, and you know how you’d go about doing it yourself. That is: it’s only useful to accelerate tasks that are in your “known knowns” space.

As I’ve mentioned: the other week I had a coding AI help me with some code that interacted with the Google Sheets API. I know exactly how I’d go about it, but that journey would have to start with re-learning the Google Sheets API, getting an API key and giving it the appropriate permissions, and so on. That’s the kind of task that I’d be happy to outsource to a less-experienced programmer who I knew would bring a somewhat critical eye for browsing StackOverflow, and then give them some pointers on what came back, so it’s a fine candidate for an AI to step in and give it a go. Plus: I’d be treating the output as “legacy code” from the get-go, and (because the resulting tool was only for my personal use) I wasn’t too concerned with the kinds of security and accessibility considerations that GenAI can often make a pig’s ear of. So I was able to palm off the task onto Claude Sonnet and get on with something else in the meantime.

If I wanted to do something completely outside of my wheelhouse: say – “write a program in Fortran to control a robot arm” – an AI wouldn’t be a great choice. Sure, I could “vibe code” something like that, but I’d have no idea whether what it produced was any good! It wouldn’t even be useful as a springboard to learning how to do that, because I don’t have the underlying fundamentals in robotics nor Fortran. I’d be producing AI slop in software form: the kind of thing that comes out when non-programmers assume that AI can completely bridge the gap between their great business idea and a fully working app!

The latest episode of South Park kinda nailed parodying the unrealistic expectations that some folks seem to put on generative AI: treating it as intelligent or as a friend is unhealthy and dangerous!

They’ll get a prototype that seems to do what you want, if you squint just right, but the hard part of software engineering isn’t making a barebones proof-of-concept! That’s the easy bit! (That’s why AI can do it pretty well!) The hard bit is making it work all the time, every time; making it scale; making it safe to use; making it maintainable; making it production-ready… etc.

But I do benefit from coding AI sometimes. GenAI’s good at summarisation, which in turn can make it good at relatively-quickly finding things in a sprawling codebase where your explanation of those things is too-woolly to use a conventional regular expression search. It’s good at generating boilerplate that’s broadly-like examples its seen before, which means it can usually be trusted to put together skeleton applications. It’s good at “guessing what comes next” – being, as it is, “fancy autocomplete” – which means it can be helpful for prompting you for the right parameters for that rarely-used function or for speculating what you might be about to do with the well-named variable you just created.

Anyway: Sean’s article was pretty good, and it’s a quick and easy read. Once you’ve read it, perhaps you’ll share where you think you sit, on his diagram?

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Just a Little More Context Bro, I Promise, and It’ll Fix Everything

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Solving problems with LLMs is like solving front-end problems with NPM: the “solution” comes through installing more and more things — adding more and more context, i.e. more and more packages.

  • LLM: Problem? Add more context.
  • NPM: Problem? There’s a package for that.

As I’m typing this, I’m thinking of that image of the evolution of the Raptor engine, where it evolved in simplicity:

Photograph of three versions of the raptor engine, each one getting progressively simplified in mechanical parts.

This stands in contrast to my working with LLMs, which often wants more and more context from me to get to a generative solution:

Photograph of three versions of the raptor engine, but the image is reversed showing the engine get progressively complicated in mechanical parts over time. Each engine represents an LLM prompt.

Jim Nielsen speaks to my experience, here. Because a programming LLM is simply taking inputs (all of your code, plus your prompt), transforming it through statistical analysis, and then producing an output (replacement code), it struggles with refactoring for simplicity unless very-carefully controlled. “Vibe coding” is very much an exercise in adding hacks upon hacks… like the increasingly-ludicrous epicycles introduced by proponents of geocentrism in its final centuries before the heliocentric model became fully accepted.

Geocentric representation of the apparent motion of the Sun, Mercury, and Venus from the Earth, based on 15th century diagrams. It consists of many looping spirals approaching and then withdrawing from the Earth as they orbit around it.
This mess used to be how many perfectly smart people imagined the movements of the planets. When observations proved it couldn’t be right, they’d just add more complexity to catch the edge cases.

I don’t think that AIs are useless as a coding tool, and I’ve successfully used them to good effect on several occasions. I’ve even tried “vibe coding”, about which I fully agree with Steve Krouse‘s observation that “vibe code is legacy code”. Being able to knock out something temporary, throwaway, experimental, or for personal use only… while I work on something else… is pretty liberating.

For example: I couldn’t remember my Google Sheets API and didn’t want to re-learn it from the sprawling documentation site, but wanted a quick personal tool to manipulate such a sheet from a remote system. I was able to have an AI knock up what I needed while I cooked dinner for the kids, paying only enough attention to check-in on its work. Is it accessible? Is it secure? Is it performant? Is it maintainable? I can’t answer any of those questions, and so as a professional software engineer I have to reasonably assume the answer to all of them is “no”. But its only user is me, it does what I needed it to do, and I didn’t have to shift my focus from supervising children and a pan in order to throw it together!

Anyway: Jim hits the nail on the head here, as he so often does.

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Riding With Strangers: California Hitchhikers in the 1970s

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“For years, starting in the late ‘70s, I was taking pictures of hitchhikers. A hitchhiker is someone you may know for an hour, or a day, or, every so often, a little longer, yet, when you leave them, they’re gone. If I took a picture, I reasoned, I’d have a memory. I kept a small portfolio of photos in the car to help explain why I wanted to take their picture. This helped a lot. It also led me to look for hitchhikers, so that I could get more pictures.

“I almost always had a camera… I finally settled on the Olympus XA – a wonderful little pocket camera. (I’ve taken a picture of the moon rising with this camera.) One time I asked a chap if I could take a photo, and he said, “You took my picture a few years ago.” I showed him the album and he picked himself out. “That’s me,” he said, pointing…”

Not that hitch-hiking is remotely as much a thing today as it was 50 years ago, but even if it were then it wouldn’t be so revolutionary to, say, take a photo of everybody you give a ride to. We’re all carrying cameras all the time, and the price of taking a snap is basically nothing.

But for Doug Biggert, who died in 2023, began doing this with an analogue camera as he drove around California from 1973 onwards? That’s quite something. Little wonder he had to explain his project to his passengers (helped, later on, by carrying a copy of the photo album he’d collected so-far that he could show them).

A really interesting gallery with a similarly-compelling story. Also: man – look at the wear-and-tear on his VW Bug!

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Hetero Awesome… Hijacked

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I somehow missed this “most punk rock thing ever” moment the other month. If you did too, let me catch you up:

For a weekend in June, in what was clearly designed to act as a protest to Pride month events, human turd/bar owner Mark Fitzpatrick decided to put on a “straight pride” festival in Boise, Idaho. Called “Hetero Awesome Fest”, it was as under-subscribed as perhaps it ought to be (having a similar turnout to the “world’s smallest pride parade”). And that would have made it a non-story, except for the moment when local singer-songwriter Daniel Hamrick got up to perform his set:

I can’t begin to fathom the courage it takes to get on-stage in front of an ultra-conservative crowd (well, barely a crowd…) in a right-leaning US state to protest their event by singing a song about a trans boy. But that’s exactly what Hamrick did. After catching spectators off-guard, perhaps, by taking the perhaps-“masculine-telegraphing” step of drawing attention to part of his army uniform, the singer swiftly switched outfit to show off a “Keep Canyon County Queer” t-shirt, slip on a jacket with various Pride-related patches, and then immediately launched into Boy, a song lamenting the persecution of a trans child by their family and community.

Needless to say, this was the first, last, and only song Daniel Hamrick got to play at Hetero Awesome Fest. But man, what a beautiful protest!

(There are other videos online that aren’t nabbed from the official event feed and so don’t cut-out abruptly.)

Repost #27029

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I still get that powerful feeling that anything is possible when I open a web browser — it’s not as strong as it was 20 years ago, but it’s still there.

This. This is the optimistic side of the coin represented by the things I’ve been expressing in notes like this, articles like that, and reposts like the other.

As cynical as you can get at the state of the Web right now… as much as it doesn’t command the level of inspirational raw potential of “anything is possible” that it might have once… it’s still pretty damn magical, and we should lean into that.

The rise of Whatever

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A freaking excellent longread by Eevee (Evelyn Woods), lamenting the direction of popular technological progress and general enshittification of creator culture. It’s ultimately uplifting, I feel, but it’s full of bitterness until it gets there. I’ve pulled out a couple of highlights to try to get you interested, but you should just go and read the entire thing:

And so the entire Web sort of congealed around a tiny handful of gigantic platforms that everyone on the fucking planet is on at once. Sometimes there is some sort of partitioning, like Reddit. Sometimes there is not, like Twitter.

That’s… fine, I guess. Things centralize. It happens. You don’t get tubgirl spam raids so much any more, at least.

But the centralization poses a problem. See, the Web is free to look at (by default), but costs money to host. There are free hosts, yes, but those are for static things getting like a thousand visitors a day, not interactive platforms serving a hundred million. That starts to cost a bit. Picture logs being shoveled into a steam engine’s firebox, except it’s bundles of cash being shoveled into… the… uh… website hole.

I don’t want to help someone who opens with “I don’t know how to do this so I asked ChatGPT and it gave me these 200 lines but it doesn’t work”. I don’t want to know how much code wasn’t actually written by anyone. I don’t want to hear how many of my colleagues think Whatever is equivalent to their own output.

I glimpsed someone on Twitter a few days ago, also scoffing at the idea that anyone would decide not to use the Whatever machine. I can’t remember exactly what they said, but it was something like: “I created a whole album, complete with album art, in 3.5 hours. Why wouldn’t I use the make it easier machine?”

This is kind of darkly fascinating to me, because it gives rise to such an obvious question: if anyone can do that, then why listen to your music? It takes a significant chunk of 3.5 hours just to listen to an album, so how much manual work was even done here? Apparently I can just go generate an endless stream of stuff of the same quality! Why would I want your particular brand of Whatever?

Nobody seems to appreciate that if you can make a computer do something entirely on its own, then that becomes the baseline.

Do things. Make things. And then put them on your website so I can see them.

Clearly this all ties in to stuff that I’ve been thinking, lately. Expect more posts and reposts in this vein, I guess?

You MUST listen to RFC 2119

This is a repost promoting content originally published elsewhere. See more things Dan's reposted.

With thanks to Ruth for sharing this with me:

RFC 2119 establishes language around requirement levels. Terms like “MUST”, “MUST NOT”, “SHOULD”, and “SHOULD NOT” are helpful when coordinating with engineers. I reference it a lot for work, as I create a lot of accessible component specifications.

Because of this familiarity—and because I’m an ass—I fired back in Discord:

I want to hire a voice actor to read 2119 in the most over the top, passive-aggressive way possible
wait, this is an achievable goal oh no

It turns out you can just pay people to do things.

I found a voice actor and hired them with the task of “Reading this very dry technical document in the most over-the-top sarcastic, passive-aggressive, condescending way possible. Like, if you think it’s too much, take that feeling, ignore it, and crank things up one more notch.”

RFC 2119 is one of few RFCs I can identify by number alone, too. That and RFCs 1945 and 1866, for some reason, and RFC 2822 (and I guess, by proxy, 822) because I’ve had to implement its shitty date format more times than I’d like to count.

But anyway: if you’ve ever wanted to hear a (sarcastic, passive aggressive) dramatic reading of RFC 2119, Eric – and the actor he found – have got you covered!