📚 Quinn's Highlights

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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

Cynics are those who actively oppose change. NOBL recognizes that “cynics’ negativity can be annoying,” but engaging with them and trying to convince them can often be a huge time suck when it comes to leading change. Here’s the magic: “cynics are just disappointed idealists.” Perhaps they have gotten their hopes up about change only to be let down. Unlike a fence-sitter, a cynic is at least actively engaged with the change effort so spend your time delivering “something that matters” to your cynics, because actions will speak much louder than words. And if you are successful, your greatest cynics, once won over, will often become your greatest advocates.

Becoming a Changemaker

Alex Budak

While Algorithmic Decision-Making Does Suffer From Bias, It Offers the Potential for Unparalleled Transparency In the Decision-Making Process Summary: Algorithms offer a transparent and accountable way for decision making. They can detect bias and perpetuated patterns, but must be transparent, independently audited, and not proprietary or snake oil. Transcript: Speaker 1 And then the response comes back saying yes but if you're basing it on historical data then you're feeding in biases of the past which you're going to propagate into the future there Is a kind of new attitude about all this which is kind of orthogonal to these two axes which I personally find pretty compelling and it's come up in from a couple of different places independently I could drop a few names but let me just say that the attitude is that algorithms at their best offer a new way for decision making to be transparent and accountable that's at their best So you know if an algorithm is something that everyone understands how it works everyone understands why we are chose to use this algorithm how it was trained and it's something which Can be independently audited it's even something which could be tinkered with to see if it could be made more fair and more accurate that kind of algorithm could raise the standard of Decision making in many areas and let us detect bias where it crops up and also help us detect where historical patterns are being perpetuated and what we might do to fix that but the big But is they have to be transparent they have to be independently audited they can't be proprietary and opaque and hidden behind veils of intellectual property and they also can't just Be snake oil right so there is a lot of snake oil out there there's a lot of products being put out to market which have not in any sense been independently verified or validated and where Their users and customers frankly don't really know whether their results ought to be interpreted the way they ought to be interpreted and so there needs to be a lot more critical thinking Aimed at these

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

COMPLEXITY: Physics of Life

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