📚 Quinn's Highlights

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

Two Models of Searching for Truth: Unearthing the Truth v.s. Growing Into The Truth Summary: Science is like carving away everything that isn't truth, but I think it's more like an infinite vacuum with trees growing in all directions. The search for truth is complex and ever-expanding. It's like ecology, where species have multiple solutions to a problem, which continually changes. I believe in infinite diversity and combinations, and that complexity can emerge from simplicity. Instead of focusing on the core, we should expect to branch out. Transcript: Speaker 2 One metaphor I like is that I think some people have as their image of science. Imagine we're sitting on the surface of a sphere, and they think they're kind of digging down to the core of the truth. They're discarding the earth beneath them, the falsities, and they're going to hit the truth. Speaker 1 We're carving away everything that isn't science, you're saying? Speaker 2 Yeah. And I think that the image I have instead is there's an infinite vacuum outside of that sphere, and there are trees growing out from the surface of the sphere in all directions. And as they grow out, more space is available, and they branch and expand. And that just goes on, and it gets more and more complex the further you get out. And that's kind of how I think of the search for the truth. That strikes people maybe initially is a little bit weird. I guess that's how I interpret like beginning of infinity, David Deutsches' phrase. But another way to see that is ecology, the way the species were. Species are all after some abstracted fitness landscape, I guess is one way to conceive of it. But somehow we don't end up with one solution to that problem. In fact, we get a bunch of solutions to the problem, and as that problem gets solved, it actually changes the problem, because now for all the other species you've got to deal with, and There's other species that you can eat, there's all kinds of stuff going on. That's how I think about it. I eat reflecting infinite diversity and infinite combinations. I think that there's just a lot of things going on, and you can build a lot of complexity from a small set of ingredients. And you shouldn't expect to get down to the core, you should expect to branch out from the core.

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

COMPLEXITY: Physics of Life

DEEP Framework: Documenting Decisions, Events, Explanations, and Proposals in Your Org Summary: The DEEP framework emphasizes the documentation of decisions, urging the recording of the rationale behind business and general decisions. It also stresses the importance of documenting events such as meetings and town halls, highlighting the need for summarization. Furthermore, the framework encourages documenting explanations, especially in the context of onboarding, as they often involve repeated material. Lastly, it emphasizes documenting proposals or ideas, allowing individuals to present their rationale to others and providing time for considered reactions. The acronym 'DEEP' serves as a reminder for teams to consider the documentation created within their workflow. Transcript: Speaker 1 So I came up with an acronym as well, and I call that acronym deep. I think you'll identify with some of these. So deep for decisions, if there's ever a decision, then you should record the rationale for it. And we've talked about it endlessly on our tech radar's decision record systems. But I extend that to business decisions as well and general decisions as well. So similar format. Then there's events. So you have a town hall, you have a meeting, all of those are events, right? And you better document them for the benefit of other people. And when I say document, I mean, summarize, sure, you can have a recording or snippets of recordings if they are useful for people, but the summary is the more important thing. Then there's explanations, and I found these very useful in the context of onboarding, because there's a lot of explainer material that gets repeated in onboarding. And those are definitely great candidates for documentation. And the last one is proposals. And I called that proposals, but really I'm trying to talk about things like ideas. So let's take an example. I want to use this new library on my project. I have a certain rationale for it. Let me write down the thought process. What value is it going to bring? Let me present it to everyone. Everyone has the time to consume it. Oftentimes we go into decision making with a lot of cognitive load, where, you know, Ken explains in rapid fire things that he's been thinking about for the last 15 days. And now I have to consume it in the next 30 minutes and give Ken a year or nay. It's really difficult because Ken's done all the deep thinking, I need the time to process it and writing gives me the time to process it, right? And I can also not give knee jerk reactions, but considered reactions. So proposals, and that starts to include design documentation, idea papers, any kinds of proposals that you make on the team. So that acronym deep is a good trigger for teams to kind of hold on to and think about what is the documentation we're creating in the flow of work.

Asynchronous Collaboration — Getting It Right

Thoughtworks Technology Podcast

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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