Tags: technology

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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.

Cory Doctorow: Zuck’s Empire of Oily Rags – Locus Online

Facebook doesn’t have a mind-control problem, it has a corruption problem. Cambridge Analytica didn’t convince decent people to become racists; they convinced racists to become voters.

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.

Should computers serve humans, or should humans serve computers? | Read the Tea Leaves

Between the utopian and dystopian, which vision of the future seems more likely to you? Which vision seems more true to how we currently live with technology, in the form of our smartphones and social media apps?

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.

[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.

Artificial Intelligence for more human interfaces | Christian Heilmann

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

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.

Know your ARIA: ‘Hidden’ vs ‘None’ | scottohara.me

When to use aria-hidden="true", and when you might need display: none:

aria-hidden by itself is not enough to completely hide an element from all users, if that is the end goal.

When to use role="presentation" (or role="none"):

Where aria-hidden can be used to completely hide content from assistive technology, modifying an element’s role to “none” or “presentation” removes the semantics of the element, but does not hide the content from assistive technologies.

The Amish understand a life-changing truth about technology the rest of us don’t — Quartz

The headline is terrible but this interview is an insightful look at evaluating technology.

I remember Kevin Kelly referring to the Amish as “slow geeks”, and remarking that we could all become a little more amish-ish.

It’s not that the Amish view technology as inherently evil. No rules prohibit them from using new inventions. But they carefully consider how each one will change their culture before embracing it. And the best clue as to what will happen comes from watching their neighbors.

The Tarot Cards Of Tech

A useful set of questions to ask on any project, shuffled and dealt to you.

They’ll not only help you foresee unintended consequences—they can also reveal opportunities for positive change.

All of the content in images. Not a single image has alternative text. If only they had asked themselves:

When you picture your user base, who is excluded? If they used your product, what would their experience be like?

Design systems and technological disruption – The Man in Blue

Almost every technological innovation over the last 300 years has had side effects which actually increase the number of opportunities for employment. The general trend is that the easier something is to do, the more demand there is for it.

Cameron looks at the historical effects of automation and applies that to design systems. The future he sees is one of increased design democratisation and participation.

This is actually something that designers have been championing for decades – inclusive design at all levels of the company, and an increase in design thinking at all stages of product development. Now that we finally have a chance of achieving that it’s not a time to be scared. It’s a time to be celebrated.

What History’s Female Internet Pioneers can Teach us about Tomorrow on Vimeo

The terrific talk from Beyond Tellerrand by Claire L. Evans, author of Broad Band.

As we face issues of privacy, identity, and society in a networked world, we have much to learn from these women, who anticipated the Internet’s greatest problems, faced them, and discovered solutions we can still use today.

Broad Band – What History’s Female Internet Pioneers can Teach us about Tomorrow - Claire L. Evans - btconfDUS2018

Kumiho. — Ethan Marcotte

Ethan shares my reaction to Google Duplex:

Frankly, this technology was designed to deceive humans.

And he points out that the team’s priorities are very revealing:

I’ll say this: it’s telling that matters of transparency, disclosure, and trust weren’t considered important for the initial release.

Why Silicon Valley can’t fix itself

Backlash backlash:

The nature of human nature is that it changes. It can not, therefore, serve as a stable basis for evaluating the impact of technology. Yet the assumption that it doesn’t change serves a useful purpose. Treating human nature as something static, pure and essential elevates the speaker into a position of power. Claiming to tell us who we are, they tell us how we should be.

An Apology for the Internet — From the People Who Built It

A hand-wringing, finger-pointing litany of hindsight, published with 11 tracking scripts attached.

  1. Start With Hippie Good Intentions …
  2. … Then mix in capitalism on steroids.
  3. The arrival of Wall Streeters didn’t help …
  4. … And we paid a high price for keeping it free.
  5. Everything was designed to be really, really addictive.
  6. At first, it worked — almost too well.
  7. No one from Silicon Valley was held accountable …
  8. … Even as social networks became dangerous and toxic.
  9. … And even as they invaded our privacy.
  10. Then came 2016.
  11. Employees are starting to revolt.
  12. To fix it, we’ll need a new business model …
  13. … And some tough regulation.
  14. Maybe nothing will change.
  15. … Unless, at the very least, some new people are in charge.

House of Lords - AI in the UK: ready, willing and able? - Artificial Intelligence Committee

Design fiction from the UK parliament. I mean, it’s not exactly a classic of speculative fiction, but it sure beats a white paper.