Tags: technology

On the last day of UX London this year, I was sitting and chatting with Rachel Coldicutt who was going to be giving the closing keynote. Inevitably the topic of converstation worked its way ’round to “AI”. I remember Rachel having a good laugh when I summarised my overall feeling:

I kind of wish I could go into suspended animation and be woken up when all this is over and things have settled down one way or another.

I still feel that way. Like Gina, I’d welcome a measured approach to this technology. As Anil puts it:

Technologies like LLMs have utility, but the absurd way they’ve been over-hyped, the fact they’re being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value.

I very much look forward to using language models (probably small and local) to automate genuinely tedious tasks. That’s a very different vision to what the slopagandists are pushing. Or, like Paul Ford says:

Make it boring. That’s what’s interesting.

Fortunately, my cryosleep-awakening probably isn’t be too far off. You can smell it in the air, that whiff of a bubble about to burst. And while it will almost certainly be messy, it’s long overdue.

Paul Ford again:

I’ve felt so alienated from tech over the past couple of years. Part of it is the craven authoritarianism. It dampens the mood. But another part is the monolithic narrative—the fact that we live in a world where there seem to be only a few companies, only a few stories going at any time, and everything reduces to politics. God, please let it end.

ChatGPT’s Atlas: The Browser That’s Anti-Web - Anil Dash

I love the web, and this thing is bad for the web.

1. Atlas substitutes its own AI-generated content for the web, but it looks like it’s showing you the web
2. The user experience makes you guess what commands to type instead of clicking on links
3. You’re the agent for the browser, it’s not being an agent for you

It’s very clear that a lot of the new AI era is about dismantling the web’s original design.

eurollm.io

A different world is possible. Here, for example, is an open-source large language model from Europe, designed to support the 24 official languages of the European Union.

I have no idea why their top level domain is for the British Indian Ocean Territory, soon to be no more. That doesn’t instil confidence.

Measured AI | Note to Self

It’s creepy to tell people they’ll lose their jobs if they don’t use AI. It’s weird to assume AI critics hate progress and are resisting some inevitable future.

The AI Gold Rush Is Cover for a Class War

Under the guise of technological inevitability, companies are using the AI boom to rewrite the social contract — laying off employees, rehiring them at lower wages, intensifying workloads, and normalizing precarity. In short, these are political choices masquerading as technical necessities, AI is not the cause of the layoffs but their justification.

Frank Chimero · Beyond the Machine

The transcript of a very thoughtful talk by Frank.

“AI is inevitable” is bullshit · Eric Eggert

LLMs are useful when you need a compromise between fast and good. You will never get a good outcome fast.

I’m afraid we are settling into a status of good enough when using “AI,” which is especially hurtful for accessibility.

The Majority AI View - Anil Dash

Technologies like LLMs have utility, but the absurd way they’ve been over-hyped, the fact they’re being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value.

My first months in cyberspace (Phil Gyford’s website)

This is a wonderfully evocative description of what it was like to go online 30 years ago.

Default Isn’t Design

Framework monoculture is a psychology problem as much as a tech problem. When one approach becomes “how things are done,” we unconsciously defend it even when standards would give us a healthier, more interoperable ecosystem. Psychologists call this reflex System Justification.

The explains a lot about React-driven front-end development!

When a single toolset becomes the default, we don’t just prefer it, we build narratives that justify it. And that’s when a tool quietly becomes a gate or even a destructive force.

Where’s the AI design renaissance?

I’ve had some incredibly productive moments with AI design tools. But I’ve had at least as many slogs, where I can’t get it to do some basic thing I should’ve done myself 45 minutes ago.

My hunch: vibe coding is a lot like stock-picking – everyone’s always blabbing about their big wins. Ask what their annual rate of return is above the S&P, and it’s a quieter conversation 🤫

This, in my opinion, is how we end up with a firehose of AI hype, and yet zero signs of a software renaissance. As Mike Judge points out, the following graphs are flat: (a) new app store releases, (b) new domain names registered, (c) new Github repositories.

The Programmer Identity Crisis ❈ Simon Højberg ❈ Principal Frontend Engineer

I prefer my tools to help me with repetitive tasks (and there are many of those in programming), understanding codebases, and authoring correct programs. I take offense at products that are designed to think for me. To remove the agency of my own understanding of the software I produce, and to cut connections with my coworkers. Even if LLMs lived up to the hype, we would still stand to lose all of that and our craft.

Why doesn’t anything work anymore? | Jason Rodriguez

I’ve worked in the tech industry for close to two decades at this point. I’ve seen how difficult it is to build quality products, but I’ve also seen that it can be done. It just feels like no one gives a shit anymore, beyond a handful of independent devs and small shops. It’s wild.

A cartoonist’s review of AI art - The Oatmeal

Stick with this. It’s worth it.

Life Is More Than an Engineering Problem | Los Angeles Review of Books

A great interview with Ted Chiang:

Predicting the most likely next word is different from having correct information about the world, which is why LLMs are not a reliable way to get the answers to questions, and I don’t think there is good evidence to suggest that they will become reliable. Over the past couple of years, there have been some papers published suggesting that training LLMs on more data and throwing more processing power at the problem provides diminishing returns in terms of performance. They can get better at reproducing patterns found online, but they don’t become capable of actual reasoning; it seems that the problem is fundamental to their architecture. And you can bolt tools onto the side of an LLM, like giving it a calculator it can use when you ask it a math problem, or giving it access to a search engine when you want up-to-date information, but putting reliable tools under the control of an unreliable program is not enough to make the controlling program reliable. I think we will need a different approach if we want a truly reliable question answerer.

Extremely offline: what happened when a Pacific island was cut off from the internet | Tonga | The Guardian

A fascinating look at the importance of undersea cables, taken from a new book called The Web Beneath the Waves.

gilest.org: A chat with 19-year-old me

I love this conversation.

Against the protection of stocking frames. — Ethan Marcotte

I don’t think it’s controversial to suggest that LLMs haven’t measured up to any of the lofty promises made by their vendors. But in more concrete terms, consumers dislike “AI” when it shows up in products, and it makes them actively mistrust the brands that employ it. In other words, we’re some three years into the hype cycle, and LLMs haven’t met any markers of success we’d apply to, well, literally any other technology.

React Won by Default – And It’s Killing Frontend Innovation | Loren Stewart

React is no longer winning by technical merit. Today it is winning by default. That default is now slowing innovation across the frontend ecosystem.

Hack to the Future - Frontend - Matt Hobbs

Put the kettle on. This is a long one!

Matt takes a trip down memory lane and looks at all the frontend tools, technologies, and techniques that have come and gone over the years.

But this isn’t about nostalgia (although it does make you appreciate how far we’ve come). He’s looking at whether anything from the past is worth keeping today.

Studying past best practices and legacy systems is crucial for understanding the evolution of technology and making informed decisions today.

There’s only one technique that makes the cut:

After discussing countless legacy approaches and techniques best left in the past, you’ve finally arrived at a truly timeless and Incredibly important methodology.