Link tags: i

404 Page Not Found | Kate Wagner

Considering the average website is less than ten years old, that old warning from your parents that says to “be careful what you post online because it’ll be there forever” is like the story your dad told you about chocolate milk coming from brown cows, a well-meant farce. On the contrary, librarians and archivists have implored us for years to be wary of the impermanence of digital media; when a website, especially one that invites mass participation, goes offline or executes a huge dump of its data and resources, it’s as if a smallish Library of Alexandria has been burned to the ground. Except unlike the burning of such a library, when a website folds, the ensuing commentary from tech blogs asks only why the company folded, or why a startup wasn’t profitable. Ignored is the scope and species of the lost material, or what it might have meant to the scant few who are left to salvage the digital wreck.

Better Living Through Algorithms by Naomi Kritzer : Clarkesworld Magazine – Science Fiction & Fantasy

This short story feels like a prequel to Maneki Neko.

Generative AI: What You Need To Know

Generative AI: What You Need To Know is a free resource that will help you develop an AI-bullshit detector.

You can read all the cards on one page, print them out, or print to PDF.

Designing services for people who need help with numbers

1. About dyscalculia, low numeracy and maths anxiety
2. Round up numbers and remove unnecessary content
3. Leave space around numbers
4. Fill in the information you have
5. Explain what numbers mean
6. Let people make mistakes when entering numbers
7. Research with people who struggle with numbers

Building a Frontend Framework; Reactivity and Composability With Zero Dependencies

The thinking behind the minimal JavaScript framework, Strawberry:

Even without specialized syntax, you can do a lot of what the usual frontend framework does—with similar conciseness—just by using Proxy and WebComponents.

How to build lean efficient websites in 2023 | Go Make Things

1. Start with mostly static HTML.
2. Progressively enhance the dynamic parts.
3. Pick small, focused tools.

ChatGPT is not ‘artificial intelligence.’ It’s theft. | America Magazine

But in calling these programs “artificial intelligence” we grant them a claim to authorship that is simply untrue. Each of those tokens used by programs like ChatGPT—the “language” in their “large language model”—represents a tiny, tiny piece of material that someone else created. And those authors are not credited for it, paid for it or asked permission for its use. In a sense, these machine-learning bots are actually the most advanced form of a chop shop: They steal material from creators (that is, they use it without permission), cut that material into parts so small that no one can trace them and then repurpose them to form new products.

How you want me to cover artificial intelligence

Seven principles for journalism in the age of AI

1. Be rigorous with your definitions.
2. Predict less, explain more.
3. Don’t hype things up.
4. Focus on the people building AI systems — and the people affected by its release.
5. Offer strategic takes on products.
6. Emphasize the tradeoffs involved.
7. Remember that nothing is inevitable.

To have “true AI,” we need much more than ChatGPT - Big Think

LLMs have never experienced anything. They are just programs that have ingested unimaginable amounts of text. LLMs might do a great job at describing the sensation of being drunk, but this is only because they have read a lot of descriptions of being drunk. They have not, and cannot, experience it themselves. They have no purpose other than to produce the best response to the prompt you give them.

This doesn’t mean they aren’t impressive (they are) or that they can’t be useful (they are). And I truly believe we are at a watershed moment in technology. But let’s not confuse these genuine achievements with “true AI.”

The Industrial Hammer Complex

Coincidentally, I was just talking about hammers and nails in another context.

Progressive enhancement used to be a standard approach. Then React came along and didn’t support that approach. So, folks stopped talking about that and focused entirely on JS-centric client solutions. A few years later and now folks are talking about progressive enhancement again, under the new name of “islands”.

What is going on here?

It turns out, it’s the same old thing. Vendors peddling their wares. When Facebook introduced React, that act transformed the font-end space into a hype-driven, cult-of-personality disaster zone where folks could profit from creating the right image and narrative. I observed that it particularly preyed on the massive influx of young web developers. Facebook had finally found the silver bullet of Web Development, or so they claimed! Just adopt our tech, no questions asked, and you too can be a rock star making six figures! We’ve been living through this mess for ten years now.

The cosmic ballet goes on.

Apple previews Live Speech, Personal Voice, and more new accessibility features - Apple

This is the kind of press release I like.

What I Want From The Internet - Christopher Butler

You can, today, still go back to the can-to-can structure that a personal website, an RSS feed, and a browser provide. It’s not perfect. It leaves an enormous amount of signal unheard. It requires more work to find things, and to be found.

But you can do it. And I hope you do, in some way.

Speaking at UX London 2023 · Paul Robert Lloyd

I’ve managed to convince Paul to come out of the shadows for one last heist—it’s gonna be good!

(And Paul shares a discount for 20% off your UX London ticket!)

Google’s AI Hype Circle

Google has a serious AI problem. That problem isn’t “how to integrate AI into Google products?” That problem is “how to exclude AI-generated nonsense from Google products?”

AI isn’t the app, it’s the UI - Stack Overflow Blog

In some ways, the fervor around AI is reminiscent of blockchain hype, which has steadily cooled since its 2021 peak. In almost all cases, blockchain technology serves no purpose but to make software slower, more difficult to fix, and a bigger target for scammers. AI isn’t nearly as frivolous—it has several novel use cases—but many are rightly wary of the resemblance. And there are concerns to be had; AI bears the deceptive appearance of a free lunch and, predictably, has non-obvious downsides that some founders and VCs will insist on learning the hard way.

This is a good level-headed overview of how generative language model tools work.

If something can be reduced to patterns, however elaborate they may be, AI can probably mimic it. That’s what AI does. That’s the whole story.

There’s very practical advice on deciding where and when these tools make sense:

The sweet spot for AI is a context where its choices are limited, transparent, and safe. We should be giving it an API, not an output box.

Google AMP: how Google tried to fix the web by taking it over - The Verge

AMP succeeded spectacularly. Then it failed. And to anyone looking for a reason not to trust the biggest company on the internet, AMP’s story contains all the evidence you’ll ever need.

This is a really good oral history of how AMP soured Google’s reputation.

Full disclosure: I’m briefly cited:

“When it suited them, it was open-source,” says Jeremy Keith, a web developer and a former member of AMP’s advisory council. “But whenever there were any questions about direction and control… it was Google’s.”

As an aside, this article contains a perfect description of the company cultures of Facebook, Apple, and Google:

“You meet with a Facebook person and you see in their eyes they’re psychotic,” says one media executive who’s dealt with all the major platforms. “The Apple person kind of listens but then does what it wants to do. The Google person honestly thinks what they’re doing is the best thing.”

Spot. On.

The Cost of Convenience - DEV Community

The pros and cons of dependencies in your toolchain.

Will A.I. Become the New McKinsey? | The New Yorker

Bosses have certain goals, but don’t want to be blamed for doing what’s necessary to achieve those goals; by hiring consultants, management can say that they were just following independent, expert advice. Even in its current rudimentary form, A.I. has become a way for a company to evade responsibility by saying that it’s just doing what “the algorithm” says, even though it was the company that commissioned the algorithm in the first place.

Once again, absolutely spot-on analysis from Ted Chiang.

I’m not very convinced by claims that A.I. poses a danger to humanity because it might develop goals of its own and prevent us from turning it off. However, I do think that A.I. is dangerous inasmuch as it increases the power of capitalism. The doomsday scenario is not a manufacturing A.I. transforming the entire planet into paper clips, as one famous thought experiment has imagined. It’s A.I.-supercharged corporations destroying the environment and the working class in their pursuit of shareholder value. Capitalism is the machine that will do whatever it takes to prevent us from turning it off, and the most successful weapon in its arsenal has been its campaign to prevent us from considering any alternatives.

Artificial intelligence: who owns the future? - ethical.net

Whether consciously or not, AI manufacturers have decided to prioritise plausibility over accuracy. It means AI systems are impressive, but in a world plagued by conspiracy and disinformation this decision only deepens the problem.

Just Simply | Stop saying how simple things are in our docs

If someone’s been driven to Google something you’ve written, they’re stuck. Being stuck is, to one degree or another, upsetting and annoying. So try not to make them feel worse by telling them how straightforward they should be finding it. It gets in the way of them learning what you want them to learn.