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"What Information Consumes Is Attention" and The Thermodynamics of Communication Summary: Herbert Simon's quote about information consuming attention is a crucial point to consider. Emails can be overwhelming, as there is a limit to the amount of time and attention we have. It is important not to solely rely on the internet as a copying machine, but to acknowledge the real material scarcities and limitations. While there is room for improvement, there are still real world limits to communication effectiveness. Transcript: Speaker 3 Herbert Simon's famous 1971 quote that what information consumes is attention feels like such a crucial point that I made it my email signature you know because like you said earlier Glenn that you know the value is really in in the relationships and there are differentially scalable qualities here I think a lot about the way and Doug Rushkoff and others have pointed Out that you can have at least you know indefinitely many emails a day but you only have so much time and attention to read them and that this is part of the argument for the importance of Not just following the sort of logic of the internet as a great copying machine off a cliff right where we're imagining an abundance that is nonetheless still founded in real material Scarcities you know like David Wolpert talks about you know the thermodynamics of communication and there being a theoretical limit to how effective that can be and while we still Have plenty of room you know orders of magnitude to improve on that you know that there are these real world limits that we're eventually going to bump up into

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

COMPLEXITY: Physics of Life

Why Bigger Animals Live Longer: The Relationship between Size, Energy, and Longevity Summary: The larger an animal is, the more efficient it becomes in terms of energy consumption. This is because the self-similar fractal structure of larger animals allows them to save energy. Bigger animals require less energy proportionally to run their bodies due to the massive amount of tissue per gram or per cell. As a result, bigger animals experience less wear and tear and live longer than smaller animals. The reason for less wear and tear is that bigger animals use less energy and create less damage, reducing entropy. This principle can also be observed in machines, where those subjected to less stress and driven at lower revs per minute tend to last longer. Transcript: Speaker 2 So that's why we don't need to double our metabolism when we double our weight. It's that fractal like self similarity that allows us to get these essentially efficient savings in the amount of energy we need. So it's better to be bigger, isn't it? Because you don't need as much energy proportionally to run yourself. Correct. Speaker 1 So you need massive tissue per gram of tissue or per cell. You need less energy, the bigger you are. And by the way, this has huge consequences throughout all aspects of biology and life. And maybe one just to tie it back to the beginning of this discussion where we started out by talking about aging and mortality. This means that the bigger you are, the less hard your cell is working. The bigger you are, there's less wear and tear the longer you live systematically. So this is the origin of why bigger things live longer than smaller things. Speaker 2 And why is there less wear and tear if you're bigger? Speaker 1 You're using less energy and creating less entropy. That is you're creating less damage the bigger you are because simply you're using much less energy if you have an engine, an automobile and you insist on racing it at 10,000 revs per Minute every time you drive it, I can assure you that car will not live as long as a car that's driven by a little old lady or a little old man like me who keeps the revs at about two or three Thousand revs per minute. So you know, cars and machines last much longer, the less stress you put on them.

Scaling 2 — You and I Are Fractals

Simplifying Complexity

How Measurability/Mathematical Bias Limits the Scope of Scientific Inquiry and Human Discovery Transcript: Speaker 1 So there's this old paper from the, I think, 1960s by Eugene Vigner, the Nobel Prize physicist. It's called something like, on the unreasonable effectiveness of mathematics. The fun paper, and he's like, there's no good reason why mathematics should work as well as it does. And there's no good reason why there should be a tool that allows humans to predict things as well as math does. There's no good reason. It's kind of nuts. And we should all just be grateful. And he says some other things, but he's basically just kind of being all about how great mathematics is and how there's no good reason why it should be. And it's pretty cool that it does work so well. I think that there's a counter to that, which is that not everything is that easily described that mathematics. And there's lots of things for which mathematics is not that effective at describing. And it's actually just the things that were well described or easily described by mathematics are the things that were discovered using mathematical tools. They're the things that lend themselves that were amenable to mathematical inquiry. And a lot of the things that we're interested in terms of social science and cognitive science and the related philosophical inquiry are things that are much less tangible in terms Of this kind of specification. And you can see it like in a physics equation, right, a physical theory, whether it's about mass or electricity or something else, right, you have a theory about how things work. And then you can write out equations. And all the terms in the equations have units. And they are all directly related to the things that are measurable. The theories are directly about relationships between things that are measured. And in social theories and cognitive theories, so often our theories are about relating constructs. And then we have proxy measurements, but the theory isn't about the relationship between the proxy measures. The theory is about the constructs and the relationships between the constructs that are social in nature, that are cognitive in nature, but aren't the things that are being measured. And so there's this gap. And I don't know the extent to which that gap can be overcome.

Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale

COMPLEXITY: Physics of Life

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