All Posts, page 7

Fred Benenson:

When people talk about the effects of automation and artificial intelligence on the economy, they often fixate on the quantity of human workers. Will robots take our jobs? Others focus instead on threats to the quality of employment—the replacement of middle-class occupations with lower-skill, lower-wage ones; the steady elimination of human discretion as algorithms order around warehouse pickers, ride-hailing drivers, and other workers.

What’s less understood is that artificial intelligence will transform higher-skill positions, too—in ways that demand more human judgment rather than less. And that could be a problem. As AI gets better at performing the routine tasks traditionally done by humans, only the hardest ones will be left for us to do. But wrestling with only difficult decisions all day long is stressful and unpleasant. Being able to make at least some easy calls, such as allowing Santorini onto Kickstarter, can be deeply satisfying.

“Decision making is very cognitively draining,” the author and former clinical psychologist Alice Boyes told me via email, “so it’s nice to have some tasks that provide a sense of accomplishment but just require getting it done and repeating what you know, rather than everything needing very taxing novel decision making.”

Kevin Kelly:

In the coming years our relationships with robots will become ever more complex. But already a recurring pattern is emerging. No matter what your current job or your salary, you will progress through these Seven Stages of Robot Replacement, again and again:

1. A robot/computer cannot possibly do the tasks I do.
2. OK, it can do a lot of them, but it can’t do everything I do.
3. OK, it can do everything I do, except it needs me when it breaks down, which is often.
4. OK, it operates flawlessly on routine stuff, but I need to train it for new tasks.
5. OK, it can have my old boring job, because it’s obvious that was not a job that humans were meant to do.
6. Wow, now that robots are doing my old job, my new job is much more fun and pays more!
7. I am so glad a robot/computer cannot possibly do what I do now.

What happens when you get a kid from Brooklyn, a radioactive spider, and some leitmotifs and mix them all together?

Finally watched Ethan Marcotte’s talk from this year’s New Adventures conference. It’s as good as everyone said.

The sewing machine was introduced to the public in the middle of the 19th century. When it was made commercially available, it was advertised as an appliance that would free women from the routine drudgery of hand-sewing.

A few short decades later, this pamphlet said that a female operator could use a Singer sewing machine to produce 3,300 stitches per minute.

That shift in tone is really intriguing to me: as the technology improved, the messaging around sewing machines shifted from personal liberty to technical efficiency.

People are promised that technology will free them; ultimately, as the technology matures, it captures them.

I’d like to propose that what happened with the sewing machine is currently happening with the Web: that the Web is becoming industrialized in the same way that the sewing machine was.

Geoffrey James:

Neuroscience continues to uncover new ways that coffee and (to a lesser extent) tea and chocolate, tend to make brains healthier and more resilient.

When studies prove my habits are good, I believe them.

The macOS Catalina situation seems to be pretty bad. My biggest reasons for upgrading are Apple Arcade and Reminders, but in return I’d have to:

• give up Photoshop CS6
• give up a bunch of games on my Steam library
• deal with my old Aperture libraries as the app is finally broken
• learn a new shell, or replace it
• fix all the tooling stuff that will break due to the new read-only system volume
• put up with all the permission annoyances
• deal with all the damn bugs

Marco Arment’s take on ATP is right: “not enough carrot to take the stick”. For the first time ever I might actually skip a major version of macOS.

Zeynep Tufekci wonders about China’s motivations around the Hong Kong situation:

So why is China demanding significant censorship from Western companies—as in the case of this app—in the absence of a real threat? One thing to note is that while the original events being censored are minor to the point of trivial, the backlash creates a huge amount of publicity. You might be tempted to think that China has a Streisand-effect problem, in which trying to censor an event creates even more publicity. But that assumes the Chinese government doesn’t understand the Streisand effect, and that can’t be right, because if one government understands attention dynamics online, it’s China’s.

Significant amounts of scholarship show that the Chinese government has been very good at burying important news by distracting from it with other, flashy but unrelated news. This shows a subtle and powerful understanding of the Streisand effect: Instead of censoring, China diverts attention.

Nerd City:

We tested fifteen thousand common words and phrases against YouTube’s bots, one by one, and determined which of those words will cause a video to be demonetized when used in the title.

If we took a demonetized video and changed the words “gay” or “lesbian” to “happy” or “friend”, every single time, the status of the video changed to advertiser-friendly.

YouTube’s apparently unassailable dominance over web video is a real shame. I dream of a world where web video is like podcasts: a decentralized system where anyone can participate without ceding control to a giant corporation with black box policies.

Monetization is already going the way of podcasts: crowd-funding and ad reads. Big video creators just can’t afford to trust that YouTube’s ever-changing policies will be on their side. The next step is decentralizing distribution, which seems like a harder problem to solve. But we’ve done it before: let’s bring back video podcasts. Let me get my video subscriptions in my RSS reader. Let’s take video away from YouTube and give it back to the web.