📚 Quinn's Highlights

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Two Models of Searching for Truth: Unearthing the Truth v.s. Growing Into The Truth Summary: Science is like carving away everything that isn't truth, but I think it's more like an infinite vacuum with trees growing in all directions. The search for truth is complex and ever-expanding. It's like ecology, where species have multiple solutions to a problem, which continually changes. I believe in infinite diversity and combinations, and that complexity can emerge from simplicity. Instead of focusing on the core, we should expect to branch out. Transcript: Speaker 2 One metaphor I like is that I think some people have as their image of science. Imagine we're sitting on the surface of a sphere, and they think they're kind of digging down to the core of the truth. They're discarding the earth beneath them, the falsities, and they're going to hit the truth. Speaker 1 We're carving away everything that isn't science, you're saying? Speaker 2 Yeah. And I think that the image I have instead is there's an infinite vacuum outside of that sphere, and there are trees growing out from the surface of the sphere in all directions. And as they grow out, more space is available, and they branch and expand. And that just goes on, and it gets more and more complex the further you get out. And that's kind of how I think of the search for the truth. That strikes people maybe initially is a little bit weird. I guess that's how I interpret like beginning of infinity, David Deutsches' phrase. But another way to see that is ecology, the way the species were. Species are all after some abstracted fitness landscape, I guess is one way to conceive of it. But somehow we don't end up with one solution to that problem. In fact, we get a bunch of solutions to the problem, and as that problem gets solved, it actually changes the problem, because now for all the other species you've got to deal with, and There's other species that you can eat, there's all kinds of stuff going on. That's how I think about it. I eat reflecting infinite diversity and infinite combinations. I think that there's just a lot of things going on, and you can build a lot of complexity from a small set of ingredients. And you shouldn't expect to get down to the core, you should expect to branch out from the core.

Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society

COMPLEXITY: Physics of Life

Most people love the idea of collaboration . . . as long as it promises to do exactly what they want it to do. But that is not how collaboration works. Collaboration (as we talk about it) is not forced or coerced. It requires you to give up control. And because it’s not predetermined, it requires you to give up certainty.

Impact Networks

David Ehrlichman

The Dataome: The Energy Intensity of the Digital World Key takeaways: • The generation and usage of digital data requires a significant amount of energy and resources. • Silicon chip production is an energy-intensive process due to the creation of ordered structures from disordered material. • Efforts to generate electric power for the current informational world are hindered by the fight against entropy. • The energy requirements for computation, data storage, and data transmission are increasing exponentially. • Without significant improvements in efficiency, the energy needed to run our digital data homes may soon match the global civilization's total energy usage. Transcript: Speaker 1 Its everything, right? It's this conversation in recording to yr bits. It's the information that went to and from your phone when you picked it up in the morning. It's the video you made. It's all the financial transactions, it's all the scientific computation. And that, of course, all takes energy. It takes the construction of te technology. In the first instance, making silican chips is an extraordinarily energy intensive thing, because you're making these exquisitely ordered structures out of very disordered material. And so there too, we go back to simo dynamics. And you're fighting, in this sense, against entropines. In a local fashion, we're having to generate electric to power current informational world, that piece of the data. And the rather sobering thing is that already, the amount of energy and resources that we're putting into this, it's about the same as the total metabolic utilization of around 700 Million human and if you look at the trend in energy requirements for computation, for data storage and data transmission, the trends all upwards. Its an expedential curve. And they suggest that perhaps, even if we have some improvements in efficiency, unless those improvements are then in a few decades time, we may be at a point where the amount of energy, Just electrical energy, required to run our digital data home, is roughly the same as the total amount of electrical energy we utilize as a global civilization at this time. Speaker 3 The

Caleb Scharf on the Ascent of Information — Life in the Human Dataome

COMPLEXITY: Physics of Life

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