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A batch of the best highlights from what Quinn's read, .

Prediction Markets Are Built on the Principle of Adverserial Engagement Transcript: Speaker 2 There the first is what you're describing is precisely the reason why i am a bit of a skeptic of prediction markets not to say that they don't have a role but i don't think that they are nearly The solution that many believe they are and it's because they set us up in an adversarial relationship with regards to determining the truth it's not at all the say i don't think incentives Have a role or that it isn't worth a listening information for me i believe in all those things but the notion that the way that we should do it is betting against each other so that we want Everyone else to be as wrong as possible so we can be right and we want to get like one big payoff for like the person who's most right and anything that can be like too easily analogized To some sort of like dick measuring contest is not something that like excites me as a mechanism for like coming to good social outcomes and i think that prediction markets have an important Element of that

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

COMPLEXITY: Physics of Life

"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

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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