"The two legs of the Theory of Evolution that are in technology, are not at all Darwinian. They are quite different. They are that certain existing building blocks are combined and re-combined to form new building-block technologies; and every so often technologies get used to capture novel, newly discovered phenomena, and encapsulate those and get further building blocks. As with Darwin, most new technologies that come into being are only useful for their own purpose and don't form other building blocks, but occasionally some do."
"What I'm saying now is we are as gods and have to get good at it. Necessity comes from climate change, potentially disastrous for civilization. The planet will be okay, life will be okay. We will lose vast quantities of species, probably lose the rain forests if the climate keeps heating up. So it's a global issue, a global phenomenon. It doesn't happen in just one area. The planetary perspective now is not just aesthetic. It's not just perspective. It's actually a world-sized problem that will take world sized solutions that involves forms of governance we don't have yet. It involves technologies we are just glimpsing. It involves what ecologists call ecosystem engineering. Beavers do it, earthworms do it. They don't usually do it at a planetary scale. We have to do it at a planetary scale. A lot of sentiments and aesthetics of the environmental movement stand in the way of that."
"The central idea we were working on was this idea of de-localized information — information for which I didn't care what computer it was stored on. It didn't depend on any particular computer. I didn't know the identities of other computers in the ensemble that I was working on. I just knew myself and the cybersphere, or sometimes we called it the tuplesphere, or just a bunch of information floating around. We used the analogy — we talked about helium balloons. We used a million ways to try and explain this idea."
"And this is the other thing about the size of the cognitive surplus we're talking about. It's so large that even a small change could have huge ramifications. Let's say that everything stays 99 percent the same, that people watch 99 percent as much television as they used to, but 1 percent of that is carved out for producing and for sharing. The Internet-connected population watches roughly a trillion hours of TV a year. That's about five times the size of the annual U.S. consumption. One per cent of that is 98 Wikipedia projects per year worth of participation."
I think that's going to be a big deal. Don't you?"
"What I would like to argue for is to stop using the idea of big data as this big rubric to cover all these practices within businesses, like Google, that don't really have the structure to close the empirical loop to determine what part of their success is based on scientifically replicable and testable analytic results versus science, where that's really all we care about. Science is never, in my opinion, going to just get automatic, and it's very rarely easy."
"Computers and networks finally offer us the ability to write. And we do write with them. Everyone is a blogger, now. Citizen bloggers and YouTubers who believe we have now embraced a new "personal" democracy. Personal, because we can sit safely at home with our laptops and type our way to freedom.
But writing is not the capability being offered us by these tools at all. The capability is programming—which almost none of us really know how to do. We simply use the programs that have been made for us, and enter our blog text in the appropriate box on the screen. Nothing against the strides made by citizen bloggers and journalists, but big deal. Let them eat blog."
"We've already had a digital revolution; we don't need to keep having it. The next big thing in computers will be literally outside the box, as we bring the programmability of the digital world to the rest of the world. With the benefit of hindsight, there's a tremendous historical parallel between the transition from mainframes to PCs and now from machine tools to personal fabrication. By personal fabrication I mean not just making mechanical structures, but fully functioning systems including sensing, logic, actuation, and displays."
"Maybe there's something beyond computation in the sense that we don't understand and we can't describe what's going on inside living systems using computation only. When we build computational models of living systems—such as a self-evolving system or an artificial immunology system—they're not as robust or rich as real living systems. Maybe we're missing something, but what could that something be?"