Found the younger child not-in-bed but dancing around his room, using his pyjamas as perhaps some kind of streamers or flags.
Me: “Why aren’t you in bed?”
Him: “I’m sorry; I got distracted by how amazing I am.”
Hard to argue with that.
The dog came out for a walk with the eldest kid and I, but we couldn’t stop her sticking her head down rabbitholes!
(Oh, and the dog kept doing it, too.)
In the event of a fire on my bus, I’m concerned that the head of the man sitting in front of me is flammable.
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Type-safe transformation powered by inference.
ArtificialCast is a lightweight, type-safe casting and transformation utility powered by large language models. It allows seamless conversion between strongly typed objects using only type metadata, JSON schema inference, and prompt-driven reasoning.
Imagine a world where
Convert.ChangeType()could transform entire object graphs, infer missing values, and adapt between unrelated types – without manual mapping or boilerplate.ArtificialCast makes that possible.
Features
- Zero config – Just define your types.
- Bidirectional casting – Cast any type to any other.
- Schema-aware inference – Auto-generates JSON Schema for the target type.
- LLM-powered transformation – Uses AI to “fill in the blanks” between input and output.
- Testable & deterministic-ish – Works beautifully until it doesn’t.
…
As beautiful as it is disgusting, this C# is fully-functional and works exactly as described… and yet you really, really should never use it (which its author will tell you, too).
Casting is the process of transforming a variable of one type into one of another. So for example you might cast the number 3 into a string and get
"3" (though of course this isn’t the only possible result: "00000011" might also be a valid representation, depending on the circumstances1).
Casting between complex types defined by developers is harder and requires some work. Suppose you have a User model with attributes like “username”, “full name”, “hashed password”, “email address” etc., and you want to convert your users into instances of a new model called Customer. Some of the attributes will be the same, some will be absent, and some will be… different (e.g. perhaps a Customer has a “first name” and “last name” instead of a “full name”, and it’s probably implemented wrong to boot).
The correct approach is to implement a way to cast one as the other.
The very-definitely incorrect approach is to have an LLM convert the data for you. And that’s what this library provides.
…
ArtificialCast is a demonstration of what happens when overhyped AI ideas are implemented exactly as proposed – with no shortcuts, no mocking, and no jokes.
It is fully functional. It passes tests. It integrates into modern .NET workflows. And it is fundamentally unsafe.
This project exists because:
- AI-generated “logic” is rapidly being treated as production-ready.
- Investors are funding AI frameworks that operate entirely on structure and prompts.
- Developers deserve to see what happens when you follow that philosophy to its logical conclusion.
ArtificialCast is the result.
It works. Until it doesn’t. And when it doesn’t, it fails in ways that look like success. That’s the danger.
…
I’ve played with AI in code a few times. There are some tasks it’s very good at, like summarising and explaining (when the developer before you didn’t leave a sufficiency of quality comments). There are some tasks it can be okay at, with appropriate framing and support: like knowing its way around unfamiliar-to-you but well-documented APIs2.
But if you ask an AI to implement an entire product or even just a significant feature from scratch, unsupervised, you’re at risk of rapidly hitting the realm of Heisenbugs, security vulnerabilities, and enormous redundancies.
This facetious example – of using AI as a universal typecasting engine – helps hammer that point home, and I love it.
1 How to cast basic types isn’t entirely standardised: PHP infamously casts the string "0" as false when it’s coerced into a
boolean, which virtually no other programming language does, for example.
2 The other week, I had a GenAI help me write some code that writes to a Google Sheets document, because I was fuzzy on the API and knew the AI would pick it up faster than me while I wrote the code “around” it.
The unrepentant bleppy face of a dog who, without fail, steals the warm spot I’ve left behind on the sofa within like three seconds of me standing up.
Sometimes LinkedIn’s approach to anonymising who looks you up isn’t very effective.
I wonder who that could be? 😂
Paraphrased from a conversation in a Manchester pub last night –
Them: Your [dyed blue] hair is queer-coded, right? Like… you’re telegraphing you’re queer?
Me: I mean… I’m also wearing a pride rainbow t-shirt and my watch strap is a ‘bi pride’ flag. I don’t feel like I’m being
subtle.
Them: Nah. The hair’s the giveaway.
Rarely seen nowadays, these UK road signs were eventually declared “too impolite” and “brusque” and have now almost entirely been replaced with the ones that Brits are familiar with today, which read “Terribly sorry for the inconvenience, I hope it’s no bother, it’s all our fault really, so sorry, really sorry, sorry, I’ll put the kettle on shall I?”
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It was a bit… gallows humour… for a friend to share this website with me, but it’s pretty funny.
And also: a robot that “schedules a chat” to eject you from your job and then “delivers the news with the emotional depth of a toaster” might still have been preferable to an after-hours email to my personal address to let me know that I’d just had my last day! Maybe I’m old-fashioned, but there’s some news that email isn’t the medium for, right?
Reposts of spicy takes on Automattic leadership and silly jokes about redundancy will cease soon and normal bloggy content will resume, I’m sure.
This bathroom at the holiday home where some fellow volunteers and I are doing some Three Rings work, this week, has a few unusual quirks, including this surprisingly-shit bathroom:
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Here in the UK, ice cream vans will usually play a tune to let you know they’re set up and selling1. So when you hear Greensleeves (or, occasionally, Waltzing Matilda), you know it’s time to go and order yourself a ninety-nine.
Imagine my delight, then, when I discover this week that ice cream vans aren’t the only services to play such jaunty tunes! I was sat with work colleagues outside İlter’s Bistro on Meşrutiyet Cd. in Istanbul, enjoying a beer, when a van carrying water pulled up and… played a little song!
And then, a few minutes later – as if part of the show for a tourist like me – a flatbed truck filled with portable propane tanks pulled up. Y’know, the kind you might use to heat a static caravan. Or perhaps a gas barbeque if you only wanted to have to buy a refill once every five years. And you know what: it played a happy little jingle, too. Such joy!
My buddy Cem, who’s reasonably local to the area, told me that this was pretty common practice. The propane man, the water man, etc. would all play a song when they arrived in your neighbourhood so that you’d be reminded that, if you hadn’t already put your empties outside for replacement, now was the time!
And then Raja, another member of my team, observed that in his native India, vegetable delivery trucks also play a song so you know they’re arriving. Apparently the tune they play is as well-standardised as British ice cream vans are. All of the deliveries he’s aware of across his state of Chennai play the same piece of music, so that you know it’s them.
It got me thinking: what other delivery services might benefit from a recognisable tune?
Anyway: the bottom line is that I think there’s an untapped market for jolly little jingles for all kinds of delivery services, and Turkey and India are clearly both way ahead of the UK. Let’s fix that!
1 It’s not unheard of for cruel clever parents to try to teach their young
children that the ice cream van plays music only to let you know it’s sold out of ice cream. A devious plan, although one I wasn’t smart (or evil?) enough to try for
myself.
2 The official line from the government is that the piped water is safe to drink, but every single Turkish person I spoke to on the subject disagreed and said that I shouldn’t listen to… well, most of what the government says. Having now witnessed first-hand the disparity between the government’s line on the unrest following the arrest of the opposition’s presidential candidate and what’s actually happening on the ground, I’m even more inclined to listen to the people.
3 My gas delivery man should also have his own song, of course. Perhaps an instrumental cover of Burn Baby Burn?
4 Perhaps bin men could play Garbage Truck by Sex Bob-Omb/Beck? That seems kinda fitting. Although definitely not what you want to be woken up with if they turn the speakers on too early…
Hanging with my team at our meetup in Istanbul, this lunchtime I needed to do some accessibility testing…
(with apologies to anybody who doesn’t know that in user interface design, a “kebab menu” is one of those menu icons with a vertical line of three dots: a vertical ellipsis)
Somebody’s doing a kickass job with these adverts on the Tube.
Found via https://bsky.app/profile/strictlychristo.bsky.social/post/3ljobtnidrk2s; there are other examples in that thread.
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WTF did I just watch?
It’s possible I don’t understand social media any more. To be fair, it’s possible that I never did.
This is something between absurd and hilarious. Aside from the 100 year plan (which is fascinating, and I keep meaning to share my thoughts on), I’m not sure what it’s supposed to be advertising. Maybe it’s trying to showcase how cool it is to work with Automattic? (It’s not… exactly like it’s depicted in the video. But I’d be lying if I said that fewer than 50% of my meetings this week have included a discussion on snack foods, so maybe we are I guess at least a little eccentric.)
I think I understand what it’s parodying. And that’s fun. But… wow. You don’t see many videos like this attached to a corporate YouTube account, do you? Kudos for keeping the Internet fun and weird, WordPress.com.
Have you come across Monday Punday? I only discovered it last year, sadly, after it had been on hiatus for like 4 years, following a near decade-long run, but I figured that if you like wordplay and webcomics as much as I do (e.g. if you enjoyed my Movie Title Mash-Ups, back in the day), then perhaps you’ll dig it too.
I’ve been gradually making my way through the back catalogue, guessing the answers (there’s a form that’ll tell you if you’re right!). I’ve successfully guessed almost half of all of them, now, and it’s been a great journey. It sort-of fills the void that I’d hoped Crimson Herring was going to before it vanished so suddenly.
So if you’re looking for a fresh, probably-finished webcomic that’ll sometimes make you laugh, sometimes make you groan, and often make you think, start by skimming the rules of Monday Punday and then begin the long journey through the ~500 published episodes. You’re welcome!
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