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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

"All truth, beauty, and progress comes from the union of the unlike": The Philosophy Behind Glen Weyl's Work Summary: My career is like the Vulcan philosophy of infinite difference and infinite combinations from Star Trek. I've been a socialist campaigner, head of the National Teenage Republican Organization, a technocratic economist, and now a figure in the web three space. I've been connected to populist political movements and the neoliberal establishment. I thrive on contradictions and trying to make something of them. Transcript: Speaker 2 I think the way I describe it is leaning on a phrase that I often use to substantively describe some of the work, which is it's drawn from Star Trek and the Vulcan philosophy of infinite Difference and infinite combinations. And it says that all truth, beauty, and progress comes from the union of the unlike. And I think that that's a good description of my career. I was a socialist campaigner before I was 10. And I was head of the National Teenage Republican Organization. A few years after that, I was a technocratic economist and total basher of the web three space. And now I'm something of a figure in that space. And I've been connected to populist political movements of various stripes and also, you know, to like the neoliberal establishment. I'm into these contradictions and to trying to make something of that.

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

COMPLEXITY: Physics of Life

The people with the most accurate models of others tend to have diverse social networks Summary: To correct for this handicap, we need to listen to the oppressed in the population. This includes laborers, students, and others who are usually not given a political voice. By expanding our social networks to include more diverse perspectives, policymakers can make better decisions based on a deeper understanding of societal trends and people's desires. Transcript: Speaker 1 But it sounds like this gives us a really clear pointer on how to correct for this handicap. And that we really ought to be like, perhaps when it comes time to make decisions on behalf of everyone, we should really be listening to whomever the oppressed are in that population. We should be really paying attention, for example, to laborers and students and people that are ordinarily not historically, not given a lot of political voice. And what you're saying, yeah, it's in other words, what we need to do is broader our social networks include in our social networks, those people who are typically not there. So if the policymakers who are making these important decisions should know as many different people as possible. And we show in related studies that people who have most diverse social circles are also best able to predict societal trends and to understand how the overall population lives and What people want.

Mirta Galesic on Social Learning & Decision-Making

COMPLEXITY: Physics of Life

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