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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 Problem of Scale Clash in Human Collaboration
Summary:
The problem goes beyond ideal scale of humanity.
Different things we want involve different scales. Science works on a huge scale for problems like climate change while other things work on medium or small scales.
There is a clash of different scales and no optimal scale.
The big scales tend to win and squash out the small scales.
However, over long time scales, these complex systems tend to implode. It's about a dynamic balance where different forces coexist. How do we handle this in light of global coordination, bioregional organization, and personal relationships at the neighborhood level?
Transcript:
Speaker 2
I think the problem is even worse than what you're describing I'm going to try to pessimize what you said I mean when you ask me a question like have we gone past the ideal scale of humanity That implies that there is an ideal scale that we could plausibly hit if we could somehow convince people to scale back. For me the real worry is there's no ideal scale of humanity because different things we want to be involved in demand different scales science works really big good on a huge scale solving Problems like climate change our massive scale problems that everyone has to get together on and then there are other things that work at medium or small scales and there's just this Unsolvable scale clash my real worry is that different parts of us and our needs call us to different scales and there is not an optimal scale and so I have to participate in these different Scales or in tension with each other and also the big scales tend to win because they get really powerful and so they squash out the small scales.
Speaker 3
Over short time scales though right because over long time scales those like you know this is the Bob May will a complex system large complex system be stable question it's like at some Point those things tend to implode so it's not about like an equilibrium so much as it is about a a dynamic balance or a zone at which these different forces are able to coexist how do you Deal with all of this in light of both the need for global coordination and bioregional organization and neighborhood level personal relationships etc.
Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale
COMPLEXITY: Physics of Life
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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