The fact that [David Heinemeier] Hannson might be working from Marbella, Spain, while your office is in Des Moines, Iowa, doesn’t matter to your company, as advances in communication and collaboration technology make the process near seamless. (This reality does matter, however, to the less-skilled local programmers living in Des Moines and in need of a steady paycheck.) This same trend holds for the growing number of fields where technology makes productive remote possible — consulting, marketing, writing, design and so on. Once the talent market is made universally accessible, those at the peak of the market thrive while the rest suffer.
From “Chapter One: Deep Work is Valuable.”
Newport, Cal. Deep Work: Rules for Focused Success in a Distracted World. First edition. New York: Grand Central Publishing, 2016.
Aaron: Nobody understands why a gazetteer is important until they suddenly need one and then they’re, like, wait, oh what, how do we…
Paul: That’s been the miracle of the web, to me, right, it’s that you’d be like I want to build this thing and then you very rapidly stumble into the need for a large set of data with a lot of tasks. Like, I need historical texts or I need a list of places or whatever and it’s just amazing how often you get back to that.
And that whole part of our world is surprisingly untended. Right? And you go, oh get this a list of businesses but it’s from 2010 and no one has adopted it since. I’ve been actually thinking, like there isn’t really, as far as I can tell – maybe you know better than I would, but there’s an idea that I’m going to adopt this open source project, or give this into to the commons, or I’m going to open this thing but there’s no culture of adopting big data sets and taking care of them in the same way as there is as putting things on github and doing releases as open source software… that I know about.
Aaron: I guess the example of people who are doing that are the New York Public Library.
Paul: They are. That’s true.
Aaron: That’s a good example of trying to deal with both just processing the data – whether its the Menus project or the Theatre Bills or Building Inspector…
Paul: Their Labs is very strong…
Aaron: … and then providing tools for letting people work in little atomic units but even then some of it is a question of scale, I mean for all that the NYPL does amazing work they’re pretty reluctant to offer those services outside of New York City.
Paul: No, of course. What’s bugging me is I think that everyone sees code as the infrastructure for creativity and doing new work online, and I think it’s also data, and we don’t really, that’s not a conversation that people really have that much.
Track Changes – Podcast #28: Rational Geographic — Map Chat with Aaron Straup Cope
Secondly, you’ve probably heard the term “singularity” or “technological singularity.” This term has been used in math to describe an asymptote-like situation where normal rules no longer apply. It’s been used in physics to describe a phenomenon like an infinitely small, dense black hole or the point we were all squished into right before the Big Bang. Again, situations where the usual rules don’t apply. In 1993, Vernor Vinge wrote a famous essay in which he applied the term to the moment in the future when our technology’s intelligence exceeds our own—a moment for him when life as we know it will be forever changed and normal rules will no longer apply. Ray Kurzweil then muddled things a bit by defining the singularity as the time when the Law of Accelerating Returns has reached such an extreme pace that technological progress is happening at a seemingly-infinite pace, and after which we’ll be living in a whole new world. I found that many of today’s AI thinkers have stopped using the term, and it’s confusing anyway, so I won’t use it much here (even though we’ll be focusing on that idea throughout).
The AI Revolution: The Road to Superintelligence, Tim Urban, Wait but why