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The danger, and you see it often in investing, is when people become too McNamara-like – so obsessed with data and so confident in their models that they leave no room for error or surprise. No room for things to be crazy, dumb, unexplainable, and to remain that way for a long time. Always asking, “Why is this happening?” and expecting there to be a rational answer. Or worse, always mistaking what happened for what you think should have happened. The ones who thrive long term are those who understand the real world is a neverending chain of absurdity, confusions, messy relationships, and imperfect people.

Does Not Compute

collabfund.com

"All truth, beauty, and progress comes from the union of the unlike": The Philosophy Behind Glen Weyl's Work Summary: My career is like the Vulcan philosophy of infinite difference and infinite combinations from Star Trek. I've been a socialist campaigner, head of the National Teenage Republican Organization, a technocratic economist, and now a figure in the web three space. I've been connected to populist political movements and the neoliberal establishment. I thrive on contradictions and trying to make something of them. Transcript: Speaker 2 I think the way I describe it is leaning on a phrase that I often use to substantively describe some of the work, which is it's drawn from Star Trek and the Vulcan philosophy of infinite Difference and infinite combinations. And it says that all truth, beauty, and progress comes from the union of the unlike. And I think that that's a good description of my career. I was a socialist campaigner before I was 10. And I was head of the National Teenage Republican Organization. A few years after that, I was a technocratic economist and total basher of the web three space. And now I'm something of a figure in that space. And I've been connected to populist political movements of various stripes and also, you know, to like the neoliberal establishment. I'm into these contradictions and to trying to make something of that.

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

COMPLEXITY: Physics of Life

Layers of Information Continually Accumulate *Within* Objects Over Time Summary: Information can be shared between objects as evidence of a common history, indicating that objects are deeply rooted in time. As the biosphere has evolved, it has increased the layers of information processing and abstraction, resulting in the generation of objects that are deeper in time. Consequently, some features of these objects appear less physical and more abstract. Each individual accumulates information over time, making parts of them brand new and parts billions of years old. Transcript: Speaker 1 And so information we talked about has a sort of interesting property that seems very abstract. And it seems to be that information can move between objects, like we're speaking the same language, but when you can share information between objects like you and I speaking, what That is is evidence of a common history. These things that we call information and abstractions, I think, are just evidence that these objects are actually deep in time. So things look more abstract, the deeper and timely are. And it's one of the reasons I think that as the biosphere has evolved over time, it's increased the layers of information processing and abstraction that it's built. But really what it is is you're generating these objects that are deeper and deeper in time. And so some of their features look less and less physical because they're not physical now, they're physical in the structure that's extended in time. Speaker 2 You have a lovely line in one of your papers where you say that each of us are our own age, but in many ways, we're thousands and thousands of years old because we have accumulated all that Information instead of genes to be who we are today. Speaker 1 That's right. So parts of you are brand new. And parts of us are all brand new from this conversation because we've exchanged information and generated new structures. Parts of us are billions of years old.

Big Ideas — Time

Simplifying Complexity

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