My hypothesis: these algorithms — driven by the all-consuming need for engagement in order to sell ads — are part of what’s destroying western liberal democracy, and my app will not contribute to that.
If you find yourself wrestling with CSS layout, it’s likely you’re making decisions for browsers they should be making themselves. Through a series of simple, composable layouts, Every Layout will teach you how to better harness the built-in algorithms that power browsers and CSS.
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.
An even-handed assessment of the benefits and dangers of machine learning.
No matter where I go on the Internet, I feel like I am trapped in the “feed,” held down by algorithms that are like axes trying to make bespoke shirts out of silk. And no one illustrates it better than Facebook and Twitter, two more services that should know better, but they don’t. Fake news, unintelligent information and radically dumb statements are getting more attention than what matters. The likes, retweets, re-posts are nothing more than steroids for noise. Even when you are sarcastic in your retweets or re-shares, the system has the understanding of a one-year-old monkey baby: it is a vote on popularity.
The transcript of a talk that is fantastic in every sense.
Fans are organised, motivated, creative, technical, and frankly flat-out awe-inspiring.
Cennydd is writing (and self-publishing) a book on ethics and digital design. It will be released in September.
Technology is never neutral: it has inevitable social, political, and moral impact. The coming era of connected smart technologies, such as AI, autonomous vehicles, and the Internet of Things, demands trust: trust the tech industry has yet to fully earn.
James is writing a book. It sounds like a barrel of laughs.
In his brilliant new work, leading artist and writer James Bridle offers us a warning against the future in which the contemporary promise of a new technologically assisted Enlightenment may just deliver its opposite: an age of complex uncertainty, predictive algorithms, surveillance, and the hollowing out of empathy.
Why building inclusive tech takes more than good intentions.
When we run focus groups, we joke that it’s only a matter of seconds before someone mentions Skynet or The Terminator in the context of artificial intelligence. As if we’ll go to sleep one day and wake up the next with robots marching to take over. Few things could be further from the truth. Instead, it’ll be human decisions that we made yesterday, or make today and tomorrow that will shape the future. So let’s make them together, with other people in mind.
You can’t log into the same Facebook twice.
The world as we experience it seems to be growing more opaque. More of life now takes place on digital platforms that are different for everyone, closed to inspection, and massively technically complex. What we don’t know now about our current experience will resound through time in historians of the future knowing less, too. Maybe this era will be a new dark age, as resistant to analysis then as it has become now.
In the name of holy engagement, the native experience of products like Twitter, Facebook, and Instagram are moving away from giving people the ability to curate. They do this by taking control away from you, the user. By showing what other people liked, or by showing recommendations, without any way to turn it off, they prevent people from creating a better experience for themselves.
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.
The function of science fiction is not only to predict the future, but to prevent it.
The real story in this mess is not the threat that algorithms pose to Amazon shoppers, but the threat that algorithms pose to journalism. By forcing reporters to optimize every story for clicks, not giving them time to check or contextualize their reporting, and requiring them to race to publish follow-on articles on every topic, the clickbait economics of online media encourage carelessness and drama.
- People v. Dronimos
- Writers v. A.I. Rowling
- The Algorithm Defense
The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:
The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.
Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.
- Favor accuracy over speed
- Allow for ambiguity
- Add human judgment
- Advocate sunshine
- Embrace multiple systems
- Make it easy to contribute (accurate) data
- Root out bias and bad assumptions
- Give people control over their data
- Be loyal to the user
- Take responsibility
I can forgive our answer machines if they sometimes get it wrong. It’s less easy to forgive the confidence with which the bad answer is presented, giving the impression that the answer is definitive. That’s a design problem.
Jake is absolutely spot-on here. There’s been a lot of excited talk about adding an
h element to HTML but it all seems to miss the question of why the currently-specced outline algorithm hasn’t been implemented.
This is a common mistake in standards discussion — a mistake I’ve made many times before. You cannot compare the current state of things, beholden to reality, with a utopian implementation of some currently non-existent thing.
If you’re proposing something almost identical to something that failed, you better know why your proposal will succeed where the other didn’t.
Jake rightly points out that the first step isn’t to propose a whole new element; it’s to ask “Why haven’t browsers implemented the outline for sectioned headings?”
Matt takes a look at the history of scheduled broadcast media—which all began in Hungary in 1887 via telephone—and compares it to the emerging media context of the 21st century; the stream.
If the organizing principle of the broadcast schedule was synchronization — millions seeing the same thing at the same time — then the organizing principle of the stream is de-contextualization — stories stripped of their original context, and organized into millions of individual, highly personalized streams.
The view that more information uncritically produces better decisions is visibly at odds with our contemporary situation.
A superb piece of research and writing by James, skewering the technological determinism that underlies the current faith in “big data.” At best, this misplaced trust is inaccurate; at worst, it is deadly.
To the algorithmic imagination, the practice of journalism and the practice of terrorism appear to be functionally identical.
The act of linking to this story is making it true.
“I don’t think there’s any law against this,” I said. How could there be a law against something that’s not possible?