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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: Physics of Life
Perverse Incentives Select for People Who Are the Best at Exploiting a Given System
Summary:
The original deans and administrators burn out due to their dislike of the US News and World Report rankings and are replaced by individuals driven by ranking success.
This shift reflects a difference in mentality between valuing money as a means of support versus valuing money as the sole purpose of life. Similarly, pursuing publications and citations for a job versus making them the ultimate goal shows a significant distinction.
However, these differences are connected through a temporal dynamic where initially people adapt their behavior to succeed in a flawed system.
The system then filters out those who can best exploit it, resulting in the selection of individuals with specific values.
Transcript:
Speaker 2
What happens later on, the original deans and administrators burn out because of how much they hate the US news and rule report rankings, and they get replaced by people who are all it. They think the only point is to rise in the rankings. And those people don't hold back. They only have one target. I think something similar is the difference between so realizing I need a lot of money in order to a decent amount of money to support my family, but not thinking money is the point of life. And similarly, realizing that getting a decent number of publications and citations is necessary for a job versus thinking the goal of my life is to max out citations. And for me, there's a huge gulf between those things.
Speaker 1
Well, here's where I think they're connected because I see the difference and I understand the difference you're talking about. But I think the difference is that is this temporal dynamic, right, where you start out with, let's say, perverse incentives and people saying, well, I don't necessarily value these Things, but I have to shape my behavior in order to succeed in this system. But the thing is, the system being the way it is creates a filter. And the people who are the best at figuring out how to operate in that are the ones that then end up being successful. And they're the ones that teach the next generation or emulated by the next generation. And over time, the people for whatever reasons, psychologically or behaviorally or ever their path is, are best able to exploit the system are going to be able to thrive in it. And I think that because of that, you end up selecting for people with certain kinds of values, because they're going to be the people who there's always exceptions, but are going to Be best able to thrive in this kind of thing.
Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale
COMPLEXITY: Physics of Life
The Expert Identification Problem and the Challenges of Democratic Decision-Making
Key takeaways:
• The expert identification problem is a major concern when it comes to trusting experts in a democracy.
• Democracies aim to harness the intellectual power of diversity for better solutions.
• The challenge lies in recognizing the best solutions when they require expertise that the democratic entity may not possess.
• There is no clear solution to this problem, and democracy remains the best way to organize society according to the speaker.
Transcript:
Speaker 2
So for a long time I would say that the problem I've been most obsessed with is something I call the expert identification problem it's like how does the non-expert figure out which expert To trust if they don't have the expertise and one of the worries about a democracy is that it runs straight into the expert identification problem right like if we're democratically Voting on what to do we are aggregate non-experts I mean I'm not talking here about like oh we are the experts and you all are not even if you are the world expert in X you're a non-expert In a million other fields right so as an aggregate we are non-expert so here's the real worry for me if you have the right solution how would that get democratically approved Helen Landemore Is this a political theorist I really like she's part of a movement who are epistemic democrats and they think that democracies are the best way to harness the intellectual power of Diversity and the basic model is something like diverse people will come up with a better set of solutions and when you put them together the best solutions will rise to the top and my Worry is how will the democratic entity recognize which are the best solutions because if the best solution requires expertise to recognize and the democratic entity as an aggregate Is not an expert how will they figure it out and that's a problem I'm not sure there's a solution to and I also can't think of a better way to organize the world than democratically
Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale
COMPLEXITY: Physics of Life
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