Why I moved on from Figma – No Handoff
A good looking artifact too early in the process gains buy-in too quickly and kills discovery.
5th | 10th | 15th | 20th | 25th | 30th | |||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12am | ||||||||||||||||||||||||||||||
4am | ||||||||||||||||||||||||||||||
8am | ||||||||||||||||||||||||||||||
12pm | ||||||||||||||||||||||||||||||
4pm | ||||||||||||||||||||||||||||||
8pm |
A good looking artifact too early in the process gains buy-in too quickly and kills discovery.
The last few times I’ve seen Phil, I’ve really enjoyed chatting to him about the joy of singing together with others. I’m glad he’s written it all down here. It reminds me of Brian Eno’s philosophy on group singing.
I learned that geeks think they are rational beings, while they are completely influenced by buzz, marketing, and their emotions. Even more so than the average person, because they believe they are less susceptible to it than normies, so they have a blind spot.
Today’s AI promoters are trying to have it both ways: They insist that AI is crossing a profound boundary into untrodden territory with unfathomable risks. But they also define AI so broadly as to include almost any large-scale, statistically-driven computer program.
Under this definition, everything from the Google search engine to the iPhone’s face-recognition unlocking tool to the Facebook newsfeed algorithm is already “AI-driven” — and has been for years.
Why “AI” won’t help you get past the blank page in any meaningful way:
The value in writing lies in what we discover while writing.
CSS is now the most powerful design tool for the Web.
I think this is now true. It’ll be interesting to see how this will affect tools and processes:
What I expect to see overall is that the perception and thus the role of CSS in the design process will change from being mainly a presentational styling tool at the end of the waterfall to a tool that is being used at the heart of making design decisions early on.
There’s a general consensus that large language models are going to get better and better. But what if this as good as it gets …before the snake eats its own tail?
The tails of the original content distribution disappear. Within a few generations, text becomes garbage, as Gaussian distributions converge and may even become delta functions. We call this effect model collapse.
Just as we’ve strewn the oceans with plastic trash and filled the atmosphere with carbon dioxide, so we’re about to fill the Internet with blah. This will make it harder to train newer models by scraping the web, giving an advantage to firms which already did that, or which control access to human interfaces at scale.
Simulmatics as a company was established in 1959 and declared bankruptcy in 1970. The founders picked this name as a mash of ‘simulation’ and ‘automatic’, hoping to coin a new term that would live for decades, which apparently didn’t happen! They worked on building what they called the People Machine to simulate and predict human behavior. It was marketed as a revolutionary technology that would completely change business, politics, warfare and more. Doesn’t this sound familiar?!
The fascinating—and tragic—story of Walter Pitts and Walter McCulloch whose lives and work intersected with Norbert Wiener and John von Neumann:
Thanks to their work, there was a moment in history when neuroscience, psychiatry, computer science, mathematical logic, and artificial intelligence were all one thing, following an idea first glimpsed by Leibniz—that man, machine, number, and mind all use information as a universal currency. What appeared on the surface to be very different ingredients of the world—hunks of metal, lumps of gray matter, scratches of ink on a page—were profoundly interchangeable.
No matter what a specific technology does — convert the world’s energy into gambling tokens, encourage people to live inside a helmet, replace living cognition with a statistical analysis of past language use, etc., etc. — all of them are treated mainly as instances of the “creative destruction” necessary for perpetuating capitalism.
Meet the new hype, same as the old hype:
Recent technological pitches — crypto, the “metaverse,” and generative AI — seem harder to defend as inevitable universal improvements of anything at all. It is all too easy to see them as gratuitous innovations whose imagined use cases seem far-fetched at best and otherwise detrimental to all but the select few likely to profit from imposing them on society. They make it starkly clear that the main purpose of technology developed under capitalism is to secure profit and sustain an unjust economic system and social hierarchies, not to advance human flourishing.
Consequently, the ideological defense of technology becomes a bit more desperate.
Coming soon—Ethan’s next book is exactly what the tech industry needs right now.
Tech workers—designers, engineers, writers, and many others—have learned that when they stand together, they’re poised to build a better version of the tech industry.
Forget every article you’ve read that tries to explain large language models. Just read this post by Peter and feel it.
Mandy’s been blogging for fifteen years:
The new stuff sits next to the old but doesn’t supplant it, doesn’t shove it out of the way. Each new post lays atop the next like sediment, and all the old layers remain exposed for you to meander through, with their mediocre sentences and lapsed claims, all the sloppy thinking ever on display. It’s a great exercise in humility, keeping a blog for this many years. But in exchange for the keen awareness of how far I still have to go as a writer, I have the space to keep going. I have the home to keep coming back to. And I will. I will return, again and again.
Progressive enhancement begins with constructing a robust and universally accessible foundation, designed to cater to all users, regardless of individual or technological circumstances. From here, advanced features can be strategically layered to enhance the user experience wherever feasible. Even as these enhancements roll out, guided by the capacities of different devices, the quality of network connections, or the availability of specific APIs, the core functionalities should remain steadfast and accessible to all.
Ingesting every piece of art ever into a machine which lovelessly boils them down to some approximated median result isn’t artistic expression. It may be a neat parlour trick, a fun novelty, but an AI is only able to produce semi-convincing knock-offs of our creations precisely because real, actual people once had the thought, skill and will to create them.
Once a privately owned, centralized platform closes its public APIs, the platform will invariably lose any usablity except for people who publicly or privately admire Hitler.
It’s clear that companies don’t value CSS skills in the same way as, say Javascript — which is reflected in pay disparity, bootcamp priorities, and the lack of visibility in job descriptions. It’s not uncommon to see front end job specifications listing React, Redux, Typescript and more, with barely a passing mention of HTML and CSS, despite being core web technologies. New developers are encouraged to learn just enough CSS to get by, rather than cultivate a deep knowledge and appreciation for the language, and that’s reflected in the messy, convoluted code, riddled with bad practices, that many of us have to clear up afterwards.
JavaScript is great. I love using it, and it does amazing things. But maybe it’s time we stop repeating these same patterns of development over and over again. Maybe we can use JavaScript more responsibly, and focus more effort on HTML and CSS.
Chat is rarely a suitable interface for most tasks. Here, Maggie Appleton explores and prototypes some alternatives.
No one says “information superhighway” anymore, but whenever anyone explains net neutrality, they do so in terms of fast lanes and tolls. Twitter is a “town square,” a metaphor that was once used for the internet as a whole. These old metaphors had been joined by a few new ones: I have a feeling that “the cloud” will soon feel as dated as “cyberspace.”
With new or expanded modules for layout, typography, animation, audio (though sadly not speech) and more, it’s possible to specialise in a subset of CSS. Yet when aspects of frontend development not involving JavaScript are seen as ignorable by employers, few will get this opportunity.
Paul shares his big-picture thoughts after CSS Day:
But one CSS conference isn’t enough. This language is now so broad and deep, its implementation across browsers never more stable and complete, that opportunities to grow the community abound.
Today’s highly-hyped generative AI systems (most famously OpenAI) are designed to generate bullshit by design. To be clear, bullshit can sometimes be useful, and even accidentally correct, but that doesn’t keep it from being bullshit. Worse, these systems are not meant to generate consistent bullshit — you can get different bullshit answers from the same prompts. You can put garbage in and get… bullshit out, but the same quality bullshit that you get from non-garbage inputs! And enthusiasts are current mistaking the fact that the bullshit is consistently wrapped in the same envelope as meaning that the bullshit inside is consistent, laundering the unreasonable-ness into appearing reasonable.
This is a terrrific presentation by Chris, going through some practical implementations of modern CSS: logical properties, viewport units, grid, subgrid, container queries, cascade layers, new colour spaces, and view transitions.
- myth: you need to be original
- myth: you need to be an expert
- myth: posts need to be 100% correct
- myth: writing boring posts is bad
- myth: you need to explain every concept
- myth: page views matter
- myth: more material is always better
- myth: everyone should blog
It’s great to see how (progressive) web apps are being supported on both iOS and macOS …I just wish the discovery were better.
This may mark the beginning of Gov.uk’s decline. The top-listed priorities are the very antithesis of starting with user needs. Instead from now on it’s going to be about growth, shiny new technology, having a native app, and literally pivoting to video.
It’ll be interesting to see if they try to maintain their existing design principles while simultaneously abandoning them.
Personas are often toothless, but these accessibility personas from gov.uk are more practical and useful than most:
Each profile has a different simulation of their persona’s condition and runs the assistive technology they use to help them.
You can use these profiles to experience the web from the perspective of the personas and gain more understanding of accessibility issues.
The twelve(!) year old photo that Ethan has illustrated this post with still makes my heart sing.
This is a very handy tip if you’re adding view transitions to your website!
Let’s be rational here. If I were to imagine a job that was a perfect candidate for replacement by AI, it would be one that consists of measurable tasks that can be learned—allocation of capital, creation and execution of market strategy, selection of candidates for top roles—and one that costs the company a shitload of money. In other words: executives.
The logic is sound. However…
The CEOs will be spared from automation not because they should be, but because they are making the decisions about who is spared from automation.