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Unchained: A story of love, loss, and blockchain - MIT Technology Review

A near-future sci-fi short by Hannu Rajaniemi that’s right on the zeitgest money.

The app in her AR glasses showed the car icon crawling along the winding forest road. In a few minutes, it would reach the sharp right turn where the road met the lake. The turn was marked by a road sign she had carefully defaced the previous day, with tiny dabs of white paint. Nearly invisible to a human, they nevertheless fooled image recognition nets into classifying the sign as a tree.

Disturbances #16: Digital Dust

From smart dust and spimes, through to online journaling and social media, to machine learning, big data and digital preservation…

Is the archive where information goes to live forever, or where data goes to die?

A better metaphor for technology - The Verge

The ideas and images that come to mind when you think of technology as an instrument are more useful than if you think of it as a tool. Instruments — I’m specifically talking about musical instruments — are a way to create culture.

You approach instruments with a set of expectations and associations that are more humane. It’s built into their very purpose. Instruments are meant to make something for other people, not making things. When you use an instrument, you have an expectation that it is going to take effort to use it well. Using an instrument takes practice. You form a relationship with that object. It becomes part of your identity that you make something with it. You tune it. You understand that there’s no such thing as a “best” guitar in the same way that there’s not necessarily a “best” phone.

Ways to think about machine learning — Benedict Evans

This strikes me as a sensible way of thinking about machine learning: it’s like when we got relational databases—suddenly we could do more, quicker, and easier …but it doesn’t require us to treat the technology like it’s magic.

An important parallel here is that though relational databases had economy of scale effects, there were limited network or ‘winner takes all’ effects. The database being used by company A doesn’t get better if company B buys the same database software from the same vendor: Safeway’s database doesn’t get better if Caterpillar buys the same one. Much the same actually applies to machine learning: machine learning is all about data, but data is highly specific to particular applications. More handwriting data will make a handwriting recognizer better, and more gas turbine data will make a system that predicts failures in gas turbines better, but the one doesn’t help with the other. Data isn’t fungible.

Going Offline - Polytechnic

This is a lovely review of Going Offline from Garrett:

With his typical self-effacing humour (chapter titles include Making Fetch Happen and Cache Me If You Can), and easy manner, Jeremy explains how Service Workers, uh, work, the clever things you can do with them, and most importantly, how to build your own.

Best of all, he’s put it into action!

To that end, this site now has its own home-grown, organic, corn fed, Service Worker.

BBC Computer Literacy Project Archive

Here’s a treasure trove of eighties nerd nostalgia:

In the 1980s, the BBC explored the world of computing in The Computer Literacy Project. They commissioned a home computer (the BBC Micro) and taught viewers how to program.

The Computer Literacy Project chronicled a decade of information technology and was a milestone in the history of computing in Britain, helping to inspire a generation of coders.

Yay Computers • Robin Rendle

If you’re thinking of writing something that explains a weird thing you struggled with on the Internet, do it! Don’t worry about the views and likes and Internet hugs. If you’ve struggled with figuring out this thing then be sure to jot it down, even if it’s unedited and it uses too many commas and you don’t like the tone of it.

Derek Powazek - AI is Not a Community Management Strategy

A really excellent piece from Derek on the history of community management online.

You have to decide what your platform is for and what it’s not for. And, yeah, that means deciding who it’s for and who it’s not for (hint: it’s not bots, nor nazis). That’s not a job you can outsource. The tech won’t do it for you. Not just because it’s your job, but because outsourcing it won’t work. It never does.

Manual Aspire

If only all documentation was as great as this old manual for the ZX Spectrum that Remy uncovered:

The manual is an instruction book on how to program the Spectrum. It’s a full book, with detailed directions and information on how the machine works, how the programming language works, includes human readable sentences explaining logic and even goes so far as touching on what hex values perform which assembly functions.

When we talk about things being “inspiring”, it’s rarely in regards to computer manuals. But, damn, if this isn’t inspiring!

This book stirs a passion inside of me that tells me that I can make something new from an existing thing. It reminds me of the 80s Lego boxes: unlike today’s Lego, the back of a Lego box would include pictures of creations that you could make with your Lego set. It didn’t include any instructions to do so, but it always made me think to myself: “I can make something more with these bricks”.

[Essay] Known Unknowns | New Dark Age by James Bridle | Harper’s Magazine

A terrific cautionary look at the history of machine learning and artificial intelligence from the new laugh-a-minute book by James.

My biggest challenge with JavaScript | Go Make Things

This really, really resonates with me:

I think the thing I struggle the most with right now is determining when something new is going to change the way our industry works for the better (like responsive web design did 5 or 6 years ago), and when it’s just a fad that will fade away in a year or three (which is how I feel about our obsession with things like Angular and React).

I try to avoid jumping from fad to fad, but I also don’t want to be that old guy who misses out on something that’s an important leap forward for us. I spend a lot of time thinking about the longer term impact of the things we make (and make with).

Artificial Intelligence for more human interfaces | Christian Heilmann

An even-handed assessment of the benefits and dangers of machine learning.

Resilient, Declarative, Contextual

This is really good breakdown of what’s different about CSS (compared to other languages).

These differences may feel foreign, but it’s these differences that make CSS so powerful. And it’s my suspicion that developers who embrace these things, and have fully internalized them, tend to be far more proficient in CSS.

I dunno | Brad Frost

I think being simultaneously curious and skeptical of new technology is healthy attitude to have.

I concur.

I want to learn new things in order to keep making good websites. I also think there’s a lot of value in talking about the difficulty in learning new things.

Web Components Club – A journal about learning web components

Andy Bell is documenting is journey of getting to grips with web components. I think it’s so valuable to share like this as you’re learning, instead of waiting until you’ve learned it all—the fresh perspective is so useful!

Brendan Dawes - Holding the Door Open for Others

I continue to write stuff down on my little corner of the Web (does it have corners?) and I encourage you to do the same, as all these little bits of flotsam and jetsam become something a lot lot bigger.

Four short stories and what I learnt writing them (31 May., 2018, at Interconnected)

I’ve been enjoying the stories over on Upsideclown so it’s great to get a peak inside Matt’s writing brain here.

I also happen to really, really like his four stories:

  1. Moving House
  2. The search for another intelligence
  3. The Ursa Major Moving Group
  4. Volume Five

I wouldn’t say I’m great at writing fiction. I find it tough. It is the easiest thing in the world for me to pick holes in what I’ve written. So instead, as an exercise—and as some personal positive reinforcement—I want to remind myself what I learnt writing each one, and also what I like.

Solving Life’s Problems with CSS | CSS-Tricks

It turns out that Diana Smith isn’t just a genius with CSS—she’s a fantastic writer too. This post is somehow heartfelt and lighthearted at the same time. It’s also very humorous, but beneath the humour there’s an excellent point here about the rule of least power …and doing things the long, hard, stupid way.

Because something about those limitations just calls to me. I know I’m not alone when I say that a rigid set of restrictions is the best catalyst for creativity. Total artistic freedom can be a paralyzing concept.

That can sometimes be the case with programming. If you have the most powerful programming languages in the world at your disposal, it starts to seem natural that you should then have no difficulty solving any programming problem. With all these amazing tools offering countless solutions to solve the same problem, it’s no wonder that we sometimes freeze up with information overload.

Getting Started With CSS Layout — Smashing Magazine

Rachel gives a terrific explanation of CSS layout from first principles, starting with the default normal flow within writing systems, moving on to floats, then positioning—relative, absolute, fixed, and sticky—then flexbox, and finally grid (with a coda on alignment). This is a great primer to keep bookmarked; I think I’ll find myself returning to this more than once.