Tags: tech

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The world is not a desktop

This 1993 article by Mark Weiser is relevant to our world today.

Take intelligent agents. The idea, as near as I can tell, is that the ideal computer should be like a human being, only more obedient. Anything so insidiously appealing should immediately give pause. Why should a computer be anything like a human being? Are airplanes like birds, typewriters like pens, alphabets like mouths, cars like horses? Are human interactions so free of trouble, misunderstanding, and ambiguity that they represent a desirable computer interface goal? Further, it takes a lot of time and attention to build and maintain a smoothly running team of people, even a pair of people. A computer I need to talk to, give commands to, or have a relationship with (much less be intimate with), is a computer that is too much the center of attention.

The Freedom to Associate » The Digital Antiquarian

A history of hypertext, from the memex to HyperCard.

Jeremy Keith on Evaluating Technology at SmashingConf Barcelona 2017 on Vimeo

I think this is the best delivery of this talk I’ve ever given. It was something about being in that wonderful venue.

I got quite worked up around the the 32 minute mark.

Jeremy Keith on Evaluating Technology at SmashingConf Barcelona 2017

The Juvet Agenda

Questions prompted by the Clearleft gathering in Norway to discuss AI.

Angry Optimism in a Drowned World: A Conversation with Kim Stanley Robinson | CCCB LAB

Nobody can afford to volunteer to be extra virtuous in a system where the only rule is quarterly profit and shareholder value. Where the market rules, all of us are fighting for the crumbs to get the best investment for the market. And so, this loose money can go anywhere in the planet without penalty. The market can say: “It doesn’t matter what else is going on, it doesn’t matter if the planet crashes in fifty years and everybody dies, what’s more important is that we have quarterly profit and shareholder value and immediate return on our investment, right now.” So, the market is like a blind giant driving us off a cliff into destruction.

Kim Stanley Robinson journeys to the heart of the Anthropocene.

Economics is the quantitative and systematic analysis of capitalism itself. Economics doesn’t do speculative or projective economics; perhaps it should, I mean, I would love it if it did, but it doesn’t. It’s a dangerous moment, as well as a sign of cultural insanity and incapacity. It’s like you’ve got macular degeneration and your vision of reality itself were just a big black spot precisely in the direction you are walking.

Five thoughts on design and AI by Richard Pope - IF

I like Richard’s five reminders:

  1. Just because the technology feels magic, it doesn’t mean making it understandable requires magic.
  2. Designers are going to need to get familiar with new materials to make things make sense to people.
  3. We need to make sure people have an option to object when something isn’t right.
  4. We should not fall into the trap of assuming the way to make machine learning understandable should be purely individualistic.
  5. We also need to think about how we design regulators too.

Salvage (Upsideclown)

A tale of the Fermi paradox featuring data preservation via tardigrade as a means of transmitting information beyond the great filter.

Mozilla Developer Roadshow Asia Jeremy Keith - YouTube

At the 14 minute mark I had to deal with an obstreperous member of the audience. He wasn’t heckling exactly …he just had a very bad experience with web components, and I think my talk was triggering for him.

Mozilla Developer Roadshow Asia: Jeremy Keith

Failing to distinguish between a tractor trailer and the bright white sky | booktwo.org

James talks about automation and understanding.

Just because a technology – whether it’s autonomous vehicles, satellite communications, or the internet – has been captured by capital and turned against the populace, doesn’t mean it does not retain a seed of utopian possibility.

Virginia Heffernan on Learning to Read the Internet, Not Live in It | WIRED

A beautiful piece of writing from Virginia Heffernan on how to cope with navigating the overwhelming tsunami of the network.

The trick is to read technology instead of being captured by it—to maintain the whip hand.

This Future Looks Familiar: Watching Blade Runner in 2017 | Tor.com

If you subtract the flying cars and the jets of flame shooting out of the top of Los Angeles buildings, it’s not a far-off place. It’s fortunes earned off the backs of slaves, and deciding who gets to count as human. It’s impossible tests with impossible questions and impossible answers. It’s having empathy for the right things if you know what’s good for you. It’s death for those who seek freedom.

A thought-provoking first watch of Blade Runner …with an equally provocative interpretation in the comments:

The tragedy is not that they’re just like people and they’re being hunted down; that’s way too simplistic a reading. The tragedy is that they have been deliberately built to not be just like people, and they want to be and don’t know how.

That’s what really struck me about Kazuo Ishiguro’s Never Let Me Go: the tragedy is that these people can’t take action. “Run! Leave! Go!” you want to scream at them, but you might as well tell someone “Fly! Why don’t you just fly?”

A good science fiction story… - daverupert.com

Dave applies two quotes from sci-fi authors to the state of today’s web.

A good science fiction story should be able to predict not the automobile but the traffic jam.

—Frederik Pohl

The function of science fiction is not only to predict the future, but to prevent it.

—Ray Bradbury

A Personal Computer for Children of All Ages (PDF)

Alan Kay’s initial description of a “Dynabook” written at Xerox PARC in 1972.

Jeremy Keith - Closing Keynote: Evaluating Technology on Vimeo

Here’s the closing keynote I gave at Frontend Conference in Zurich a couple of weeks back.

We work with technology every day. And every day it seems like there’s more and more technology to understand: graphic design tools, build tools, frameworks and libraries, not to mention new HTML, CSS and JavaScript features landing in browsers. How should we best choose which technologies to invest our time in? When we decide to weigh up the technology choices that confront us, what are the best criteria for doing that? This talk will help you evaluate tools and technologies in a way that best benefits the people who use the websites that we are designing and developing. Let’s take a look at some of the hottest new web technologies like service workers and web components. Together we will dig beneath the hype to find out whether they will really change life on the web for the better.

Jeremy Keith - Closing Keynote: Evaluating Technology

[FoR&AI] The Seven Deadly Sins of Predicting the Future of AI – Rodney Brooks

Most technologies are overestimated in the short term. They are the shiny new thing. Artificial Intelligence has the distinction of having been the shiny new thing and being overestimated again and again, in the 1960’s, in the 1980’s, and I believe again now.

Rodney Brooks is not bullish on the current “marketing” of Artificial Intelligence. Riffing on Arthur C. Clarke’s third law, he points out that AI—as currently described—is indistinguishable from magic in all the wrong ways.

This is a problem we all have with imagined future technology. If it is far enough away from the technology we have and understand today, then we do not know its limitations. It becomes indistinguishable from magic.

Watch out for arguments about future technology which is magical. It can never be refuted. It is a faith-based argument, not a scientific argument.

Growing role of artificial intelligence in our lives is ‘too important to leave to men’

Here’s a snowclone I can get behind: X is too important to be left to men.

I am convinced that it is not the girls that must change, but rather society’s view of “computing” and the whole culture of the computing industry.

With the advent of artificial intelligence, this is about to get really serious. There are worrying signs that the world of big data and machine learning is even more dominated by men than computing in general. This means that the people writing the algorithms for software that will control many automated aspects of our daily lives in the future are mainly young, white men.

From blockchain to drones, we need to stop obsessing about tech megatrends | WIRED UK

Perhaps the blockchain is the technology equivalent of the panda. You hear an awful lot about it without ever being clear what exactly it’s for and why we should care if it disappears.

Russell Davies on the megafauna of technology.

The other big hitters are probably drones, robots, AI and self-driving cars. It used to be smartphones and 3D printing, but they’ve become too ubiquitous and banal. You can’t be charismatic if you’re everywhere.

A Man in a Hurry: Claude Shannon’s New York Years - IEEE Spectrum

Of course, information existed before Shannon, just as objects had inertia before Newton. But before Shannon, there was precious little sense of information as an idea, a measurable quantity, an object fitted out for hard science. Before Shannon, information was a telegram, a photograph, a paragraph, a song. After Shannon, information was entirely abstracted into bits. The sender no longer mattered, the intent no longer mattered, the medium no longer mattered, not even the meaning mattered: A phone conversation, a snatch of Morse telegraphy, a page from a detective novel were all brought under a common code. Just as geometers subjected a circle in the sand and the disk of the sun to the same laws, and as physicists subjected the sway of a pendulum and the orbits of the planets to the same laws, Claude Shannon made our world possible by getting at the essence of information.

Tim Harford — Article — What We Get Wrong About Technology

Toilet paper, barbed wire, shipping containers, and replicants.

Twitter and Tear Gas by Zeynep Tufekci

There’s a free Creative Commons licensed PDF of this vital book available online.

A riveting firsthand account and incisive analysis of modern protest, revealing internet-fueled social movements’ greatest strengths and frequent challenges.