Tags: machinelearning

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Monday, March 2nd, 2026

The nature of the job

Large language models help you build the thing faster, which is the primary end goal for your company but only sometimes for you. My primary goal might be to build the thing faster, but it also might be to learn something durably, to enjoy the work, to look forward to Monday.

I don’t like the mental fragility of not fully understanding how my own code works, where AI-generated code is “mine” in that it’s attributed to me in the git blame and I’m its maintainer going forward.

Tuesday, February 24th, 2026

Webspace Invaders · Matthias Ott

There’s a power imbalance at work here that’s hard to ignore. Large “AI” companies, the ones with billions in venture capital, send their bots to harvest free content. Not only from big publishers or Wikipedia, but from small, independent websites, too. But we, the people running these sites – often as passion projects, as ways to freely share what we’ve learned, as digital gardens we tend in our spare time – we’re the ones paying for the bandwidth and server resources to handle all those additional requests while those companies profit from the training data they extract. It’s an asymmetric battle: small systems absorbing the demands generated at an entirely different, industrial scale.

Sunday, February 22nd, 2026

I guess I kinda get why people hate AI

To be clear, I think AI will be ultimately extremely helpful. I still am using it on my projects. I am going to use it at my next job. I, personally, don’t hate AI.

But I can’t deny that the vibes right now are awful.

Not just bad, awful. It’s not just the “chat we’re cooked you’re the permanent underclass” stuff influencers say. It’s not just the “everybody is fucked” hyperbole CEOs sprout. It’s the actual, day-to-day experience with the technology. I’m a programmer—AI actually helps me a lot. But for normal people, their interactions are profoundly more negative, and none of the people behind this technology seem to care.

blakewatson.com - I used Claude Code and GSD to build the accessibility tool I’ve always wanted

You know my thoughts on generative tools based on large language models, but this example of personal empowerment is undeniably liberating.

The Mythology Of Conscious AI

This superb essay by Anil Seth won the 2025 Berggruen Prize Essay Competition.

The future history of AI is not yet written. There is no inevitability to the directions AI might yet take. To think otherwise is to be overly constrained by our conceptual inheritance, weighed down by the baggage of bad science fiction and submissive to the self-serving narrative of tech companies laboring to make it to the next financial quarter. Time is short, but collectively we can still decide which kinds of AI we really want and which we really don’t.

Friday, February 20th, 2026

Training your replacement | Go Make Things

I’ve had a lot of people recently tell me AI is “inevitable.” That this is “the future” and “we all better get used to it.”

For the last decade, I’ve had a lot of people tell me the same thing about React.

And over that decade of React being “the future” and “inevitable,” I worked on many, many projects without it. I’ve built a thriving career.

AI feels like that in many ways. It also feels different in that non-technical people also won’t shut the fuck about it.

Thursday, February 19th, 2026

A considered approach to generative AI in front-end… | Clearleft

A thoughtful approach from Sam:

  1. Use AI only for tasks you already know how to do, on occasions when the time that would be spent completing the task can be better spent on other problems.
  2. When using AI, provide the chosen tool with something you’ve made as an input along with a specific prompt.
  3. Always comprehensively review the output from an AI tool for quality.

A programmer’s loss of identity - ratfactor

We value learning. We value the merits of language design, type systems, software maintenance, levels of abstraction, and yeah, if I’m honest, minute syntactical differences, the color of the bike shed, and the best way to get that perfectly smooth shave on a yak. I’m not sure what we’re called now, “heirloom programmers”?

Do I sound like a machine code programmer in the 1950s refusing to learn structured programming and compiled languages? I reject that comparison. I love a beautiful abstraction just as much as I love a good low-level trick.

If the problem is that we’ve painted our development environments into a corner that requires tons of boilerplate, then that is the problem. We should have been chopping the cruft away and replacing it with deterministic abstractions like we’ve always done. That’s what that Larry Wall quote about good programmers being lazy was about. It did not mean that we would be okay with pulling a damn slot machine lever a couple times to generate the boilerplate.

Wednesday, February 18th, 2026

Deep Blue

My social networks are currently awash with Deep Blue:

…the sense of psychological ennui leading into existential dread that many software developers are feeling thanks to the encroachment of generative AI into their field of work.

How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt

I recently wrote:

The issue isn’t with the code itself, but with the understanding of the code.

That’s the difference between technical debt and cognitive debt.

John has written lots more on this.

10 Thoughts On “AI,” February 2026 Edition | Whatever

  1. I don’t and won’t use “AI” in the text of any of my published work.
  2. I’m not worried about “AI” replacing me as a novelist.
  3. People in general are burning out on “AI.”
  4. I’m supporting human artists, including as they relate to my own work.
  5. “AI” is Probably Sticking Around In Some Form.
  6. “AI” is a marketing term, not a technical one, and encompasses different technologies.
  7. There were and are ethical ways to have trained generative “AI” but because they weren’t done, the entire field is suspect.
  8. The various processes lumped into “AI” are likely to be integrated into programs and applications that are in business and creative workflows.
  9. It’s all right to be informed about the state of the art when it comes to “AI.”
  10. Some people are being made to use “AI” as a condition of their jobs. Maybe don’t give them too much shit for it.

Tuesday, February 17th, 2026

I miss thinking hard.

There are two wolves inside you…

My Builder side won’t let me just sit and think about unsolved problems, and my Thinker side is starving while I vibe-code. I am not sure if there will ever be a time again when both needs can be met at once.

Magic

I don’t like magic.

I’m not talking about acts of prestidigitation and illusion. I mean the kind of magic that’s used to market technologies. It’s magic. It just works. Don’t think about it.

I’ve written about seamless and seamful design before. Seamlessness is often touted as the ultimate goal of UX—“don’t make me think!”—but it comes with a price. That price is the reduction of agency.

When it comes to front-end development, my distrust of magic tips over into being a complete control freak.

I don’t like using code that I haven’t written and understood myself. Sometimes its unavoidable. I use two JavaScript libraries on The Session. One for displaying interactive maps and another for generating sheet music. As dependencies go, they’re very good but I still don’t like the feeling of being dependant on anything I don’t fully understand.

I can’t stomach the idea of using npm to install client-side JavaScript (which then installs more JavaScript, which in turn is dependant on even more JavaScript). It gives me the heebie-jeebies. I’m kind of astonished that most front-end developers have normalised doing daily trust falls with their codebases.

While I’m mistrustful of libraries, I’m completely allergic to frameworks.

Often I don’t distinguish between libraries and frameworks but the distinction matters here. Libraries are bits of other people’s code that I call from my code. Frameworks are other people’s code that call bits of my code.

Think of React. In order to use it, you basically have to adopt its idioms, its approach, its syntax. It’s a deeper level of dependency than just dropping in a regular piece of JavaScript.

I’ve always avoided client-side React because of its direct harm to end users (over-engineered bloated sites that take way longer to load than they need to). But the truth is that I also really dislike the extra layer of abstraction it puts between me and the browser.

Now, whenever there’s any talk about abstractions someone inevitably points out that, when it comes to computers, there’s always some layer of abstraction. If you’re not writing in binary, you don’t get to complain about an extra layer of abstraction making you uncomfortable.

I get that. But I still draw a line. When it comes to front-end development, that line is for me to stay as close as I can to raw HTML, CSS, and JavaScript. After all, that’s what users are going to get in their browsers.

My control freakery is not typical. It’s also not a very commercial or pragmatic attitude.

Over the years, I’ve stopped doing front-end development for client projects at work. Partly that’s because I’m pretty slow; it makes more sense to give the work to a better, faster developer. But it’s also because of my aversion to React. Projects came in where usage of React was a foregone conclusion. I wouldn’t work on those projects.

I mention this to point out that you probably shouldn’t adopt my inflexible mistrustful attitude if you want a career in front-end development.

Fortunately for me, front-end development still exists outside of client work. I get to have fun with my own website and with The Session. Heck, they even let me build the occasional hand-crafted website for a Clearleft event. I get to do all that the long, hard stupid way.

Meanwhile in the real world, the abstractions are piling up. Developers can now use large language models to generate code. Sometimes the code is good. Sometimes its not. You should probably check it before using it. But some developers just YOLO it straight to production.

That gives me the heebie-jeebies, but then again, so did npm. Is it really all that different? With npm you dialled up other people’s code directly. With large language models, they first slurp up everyone’s code (like, the whole World Wide Web), run a computationally expensive process of tokenisation, and then give you the bit you need when you need it. In a way, large language model coding tools are like a turbo-charged npm with even more layers of abstraction.

It’s not for me but I absolutely understand why it can work in a pragmatic commercial environment. Like Alice said:

Knitting is the future of coding. Nobody knits because they want a quick or cheap jumper, they knit because they love the craft. This is the future of writing code by hand. You will do it because you find it satisfying but it will be neither the cheapest or quickest way to write software.

But as Dave points out:

And so now we have these “magic words” in our codebases. Spells, essentially. Spells that work sometimes. Spells that we cast with no practical way to measure their effectiveness. They are prayers as much as they are instructions.

I shudder!

But again, this too is nothing new. We’ve all seen those codebases that contain mysterious arcane parts that nobody dares touch. coughWebpackcough. The issue isn’t with the code itself, but with the understanding of the code. If the understanding of the code was in one developer’s head, and that person has since left, the code is dangerous and best left untouched.

This, as you can imagine, is a maintenance nightmare. That’s where I’ve seen the real cost of abstractions. Abstractions often really do speed up production, but you pay the price in maintenance later on. If you want to understand the codebase, you must first understand the abstractions used in the codebase. That’s a lot to document, and let’s face it, documentation is the first casuality of almost every project.

So perhaps my aversion to abstraction in general—and large language models in particular—is because I tend to work on long-term projects. This website and The Session have lifespans measured in decades. For these kinds of projects, maintenance is a top priority.

Large language model coding tools truly are magic.

I don’t like magic.

Sunday, February 15th, 2026

Progress Without Disruption - Christopher Butler

We’ve been taught that technological change must be chaotic, uncontrolled, and socially destructive — that anything less isn’t real innovation.

The conflation of progress with disruption serves specific interests. It benefits those who profit from rapid, uncontrolled deployment. “You can’t stop progress” is a very convenient argument when you’re the one profiting from the chaos, when your business model depends on moving fast and breaking things before anyone can evaluate whether those things should be broken.

We’ve internalized technological determinism so completely that choosing not to adopt something — or choosing to adopt it slowly, carefully, with conditions — feels like naive resistance to inevitable progress. But “inevitable” is doing a lot of work in that sentence. Inevitable for whom? Inevitable according to whom?

Monday, February 9th, 2026

Stop generating, start thinking - localghost

Generated code is rather a lot like fast fashion: it looks all right at first glance but it doesn’t hold up over time, and when you look closer it’s full of holes. Just like fast fashion, it’s often ripped off other people’s designs. And it’s a scourge on the environment.

Thursday, January 8th, 2026

Tuesday, December 30th, 2025

The Future of Software Development is Software Developers – Codemanship’s Blog

The hard part of computer programming isn’t expressing what we want the machine to do in code. The hard part is turning human thinking – with all its wooliness and ambiguity and contradictions – into computational thinking that is logically precise and unambiguous, and that can then be expressed formally in the syntax of a programming language.

That was the hard part when programmers were punching holes in cards. It was the hard part when they were typing COBOL code. It was the hard part when they were bringing Visual Basic GUIs to life (presumably to track the killer’s IP address). And it’s the hard part when they’re prompting language models to predict plausible-looking Python.

The hard part has always been – and likely will continue to be for many years to come – knowing exactly what to ask for.

Thursday, December 18th, 2025

The Colonization of Confidence., Sightless Scribbles

I love the small web, the clean web. I hate tech bloat.

And LLMs are the ultimate bloat.

So much truth in one story:

They built a machine to gentrify the English language.

They have built a machine that weaponizes mediocrity and sells it as perfection.

They are strip-mining your confidence to sell you back a synthetic version of it.

Saturday, December 13th, 2025

Dissent | blarg

I suppose it’s not clear to me what a ‘good’ window into unreliable, systemically toxic systems accomplishes, or how it changes anything that matters for the better, or what that idea even means at all. I don’t understand how “ethical AI” isn’t just “clean coal” or “natural gas.” The power of normalization as four generations are raised breathing low doses of aerosolized neurotoxins; the alternative was called “unleaded”, but the poison was called “regular gas”.

There’s a real technology here, somewhere. Stochastic pattern recognition seems like a powerful tool for solving some problems. But solving a problem starts at the problem, not working backwards from the tools.

Thursday, December 11th, 2025

AI CEO – Replace Your Boss Before They Replace You

Delivering total nonsense, with complete confidence.