This is a great piece! It starts with a look back at some of the great minds of the nineteenth century: Herschel, Darwin, Babbage and Lovelace. Then it brings us, via JCR Licklider, to the present state of the web before looking ahead to what the future might bring.
So what will the life of an interface designer be like in the year 2120? or 2121 even? A nice round 300 years after Babbage first had the idea of calculations being executed by steam.
I think there are some missteps along the way (I certainly don’t think that inline styles—AKA CSS in JS—are necessarily a move forwards) but I love the idea of applying chaos engineering to web design:
Think of every characteristic of an interface you depend on to not ‘fail’ for your design to ‘work.’ Now imagine if these services were randomly ‘failing’ constantly during your design process. How might we design differently? How would our workflows and priorities change?
Amy’s talk at Patterns Day was absolutely brilliant! Here’s an account of the day from her perspective.
The evident care Jeremy put into assembling the lineup meant an incredible mix of talks, covering the big picture stuff right down to the nitty gritty, and plenty in between.
Her observation about pre-talk nerves is spot-on:
I say all of this because it’s important for me and I think anyone who suffers with anxiety about public speaking, or in general, to recognise that having a sense of impending doom doesn’t mean that doom is actually impending.
Here’s a nice little round-up of Friday’s Patterns Day.
Just look at these fantastic pictures that Trys took (very unobstrusively) at Patterns Day—so rock’n’roll!
Stuart took copious notes during every single talk at Patterns Day—what a star!
A deep dive with good advice on using—and labelling—sectioning content in HTML:
This really is a most excellent introduction to React. Complete with cheat sheet!
Here’s the opening keynote I gave at Frontend United in Utrecht a few weeks back.
Here’s the video of the talk I gave at State Of The Browser last year. The audio is a bit out of sync with the video.
The talk is called The Web Is Agreement. It’s ostensibly about web standards, but I used that as a jumping off point for talking about life, the universe, and everything.
I enjoyed giving this talk, but I’ve only ever given it this one time. If you know of any events where this talk would be a good fit, let me know.
Bullet comments, or 弹幕 (“danmu”), are text-based user reactions superimposed onto online videos: a visual commentary track to which anyone can contribute.
A fascinating article by Christina Xu on this overwhelming collaborative UI overlaid on Chinese video-sharing sites:
In the West, the Chinese internet is mostly depicted in negative terms: what websites and social platforms are blocked, what keywords are banned, what conversations and viral posts are scrubbed clean from the web overnight. This austere view is not inaccurate, but it leaves out what exactly the nearly 750 million internet users in China do get up to.
Take a look at bullet comments, and you’ll have a decent answer to that question. They represent the essence of Chinese internet culture: fast-paced and impish, playfully collaborative, thick with rapidly evolving inside jokes and memes. They are a social feature beloved by a generation known for being antisocial. And most importantly, they allow for a type of spontaneous, cumulative, and public conversation between strangers that is increasingly rare on the Chinese internet.
Here he is talking about custom properties in CSS as part of his Making Future Interfaces video series.
Tantek’s barnstorming closing talk from Beyond Tellerrand. This is well worth 30 minutes of your time.
Own your domain. Own your content. Own your social connections. Own your reading experience. IndieWeb services, tools, and standards enable you to take back your web.
This is an utterly fascinating interactive description of network effects, complete with Nicky Case style games. Play around with the parameters and suddenly you can see things “going viral”:
We can see similar things taking place in the landscape for ideas and inventions. Often the world isn’t ready for an idea, in which case it may be invented again and again without catching on. At the other extreme, the world may be fully primed for an invention (lots of latent demand), and so as soon as it’s born, it’s adopted by everyone. In-between are ideas that are invented in multiple places and spread locally, but not enough so that any individual version of the idea takes over the whole network all at once. In this latter category we find e.g. agriculture and writing, which were independently invented ~10 and ~3 times respectively.
Play around somewhere and you start to see why cities are where ideas have sex:
What I learned from the simulation above is that there are ideas and cultural practices that can take root and spread in a city that simply can’t spread out in the countryside. (Mathematically can’t.) These are the very same ideas and the very same kinds of people. It’s not that rural folks are e.g. “small-minded”; when exposed to one of these ideas, they’re exactly as likely to adopt it as someone in the city. Rather, it’s that the idea itself can’t go viral in the countryside because there aren’t as many connections along which it can spread.
This really is a wonderful web page! (and it’s licensed under a Creative Commons Zero licence)
We tend to think that if something’s a good idea, it will eventually reach everyone, and if something’s a bad idea, it will fizzle out. And while that’s certainly true at the extremes, in between are a bunch of ideas and practices that can only go viral in certain networks. I find this fascinating.
The slides from Carolyn’s talk at Beyond Tellerrand. The presentation is ostensibly about writing documentation, but I think it’s packed with good advice for writing in general.
If this is a typical result, I think Khoi should do more last-minute talk prep.
Slides from Harry’s deep dive into
A terrific six-part series of short articles looking at the people behind the history of Artificial Intelligence, from Babbage to Turing to JCR Licklider.
- When Charles Babbage Played Chess With the Original Mechanical Turk
- Invisible Women Programmed America’s First Electronic Computer
- Why Alan Turing Wanted AI Agents to Make Mistakes
- The DARPA Dreamer Who Aimed for Cyborg Intelligence
- Algorithmic Bias Was Born in the 1980s
- How Amazon’s Mechanical Turkers Got Squeezed Inside the Machine
The history of AI is often told as the story of machines getting smarter over time. What’s lost is the human element in the narrative, how intelligent machines are designed, trained, and powered by human minds and bodies.