📚 Quinn's Highlights

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

Balancing Intellectual Exploration and Action • There is an anti-pattern in certain podcasts that overemphasizes intellect and underemphasizes action. • Consuming knowledge from brilliant people can be stimulating, but it may lead to overthinking and under-practicing. • It is important to balance intellectual comprehension with taking action, initiating projects, and practicing. • Encouraging agency, initiative, entrepreneurship, and proactive energy is crucial. Transcript: Speaker 1 One piece of the puzzle, I think, is that there's an anti-pattern of podcasts, especially in the game, B space and related sort of sense making intellectual philosophical spaces, Which is I'm concerned about an overdoing the intellect and an underdoing the action. You know, there's all of the people that you interview on your show. They're brilliant people. You know, and it's like, every time I can get a new episode of my favorite podcast and listen to this person and be like, wow, they're so smart. And it's really stimulating to listen to these smart people that can communicate really clearly. And the concern that I have is that people get into a habit of just consuming knowledge, just listening to more and more different people and assembling this sort of like pristine map Of how they think reality works. And maybe they start a little bit to think about how they might initiate some kind of community or some project or something that they're interested in, but still they do this thing of Like way over engineering and overthinking it and under practicing, under experimenting. And so my energy is to try and interfere with that tendency and push people more towards their agency, more towards their initiative, their entrepreneurship, their get up and do it Kind of energy.

EP51 Richard Bartlett on Self-Organizing Collaboration

The Jim Rutt Show

While Algorithmic Decision-Making Does Suffer From Bias, It Offers the Potential for Unparalleled Transparency In the Decision-Making Process Summary: Algorithms offer a transparent and accountable way for decision making. They can detect bias and perpetuated patterns, but must be transparent, independently audited, and not proprietary or snake oil. Transcript: Speaker 1 And then the response comes back saying yes but if you're basing it on historical data then you're feeding in biases of the past which you're going to propagate into the future there Is a kind of new attitude about all this which is kind of orthogonal to these two axes which I personally find pretty compelling and it's come up in from a couple of different places independently I could drop a few names but let me just say that the attitude is that algorithms at their best offer a new way for decision making to be transparent and accountable that's at their best So you know if an algorithm is something that everyone understands how it works everyone understands why we are chose to use this algorithm how it was trained and it's something which Can be independently audited it's even something which could be tinkered with to see if it could be made more fair and more accurate that kind of algorithm could raise the standard of Decision making in many areas and let us detect bias where it crops up and also help us detect where historical patterns are being perpetuated and what we might do to fix that but the big But is they have to be transparent they have to be independently audited they can't be proprietary and opaque and hidden behind veils of intellectual property and they also can't just Be snake oil right so there is a lot of snake oil out there there's a lot of products being put out to market which have not in any sense been independently verified or validated and where Their users and customers frankly don't really know whether their results ought to be interpreted the way they ought to be interpreted and so there needs to be a lot more critical thinking Aimed at these

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

COMPLEXITY: Physics of Life

The Tension Between Organized Behavior at Scale and Individual Needs Summary: Large-scale organizations aim for legibility and coherence, but this may lead to a lack of diversity and individual needs. The educational system's emphasis on GPA overlooks other important skills and qualities. Transcript: Speaker 2 One of the most influential ideas for me recently has been from James South's book Seeing Like a State. And Scott has this idea that like what large-hill organizations wants its legibility and legibility is a kind of clear coherence that's aggregatable to a kind of higher level view. So a simple version might be like look if you're a CEO you can't have every department have its own obscure little value system. You need a single collective value system or something close to it so you can get production and profit measures and aggregate them in what Scott says is bring the whole organization Into view. So one way to put my worry is that what would be good for human life is an incredible diversity of bottlenecks which work on different often non-metrified systems. If Scott is right large-scale institutions will tend towards is a kind of monolithic measurement system that moves towards let's have a small number of bottlenecks and let's have A unified measure. And so like the heart of my worry is that organized behavior at scale is inevitably in tension with what a diverse population of individuals needs. And that's just an unfixable problem. Let me just give one quick example. In the educational system the dominant measure is GPA. You can add other like I can write in my notes all kinds of other shit about what students are good at. That barely matters because that's not aggregatable. When a law school admissions officer is doing their spreadsheet to do the first main cutoff nothing in my weird little notes is going to make it into that first level cutoff. The big moving forces just look at GPA.

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

COMPLEXITY: Physics of Life

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