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"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

The Self-Reinforcing Stigmatization of Public Spaces (Like Libraries) Transcript: Speaker 1 One of the problems we have now is most cities, suburbs, towns in America have public libraries there. There's neighborhood libraries. The building is there. The buildings are generally not updated. They need to have new HVACs. They need new bathrooms. They need new furniture, but a lot of new books. Stomachs still not accessible to people in wheelchairs. There's all kinds of problems with libraries, just physically because we've under-invested in them. Libraries, unfortunately, have become the place of last resort for everyone who falls through the safety net. If you wake up in the morning in the American city and you don't have a home, you're told to go to a library. If you wake up in the morning and you're suffering from an addiction problem, you need a warm place. They'll send you to a library. If you need to use a bathroom, you'll go to a library. If you don't have child care for your kid, you might send your kid to a library. If you're old and you're alone, you might go to the library. We've used the library to try to solve all these problems that deserve actual treatment. How many times have you talked to someone who said it's basically a homeless shelter? What's happened is we've stigmatized our public spaces because we've done so little to address core problems that we've turned them into spaces of last resort for people who need a Hand. As we do that, we send another message to affluent middle-class Americans, and that is if you want a gathering place, build your own in the private sector.

The Infrastructure of Community

How to Know What's Real

The need for transparent and democratic decision-making: Human bullshit and algorithmic bullshit are two sides of the same coin Summary: Data and algorithms are not inherently bad, but they should be used in a transparent and democratic way that empowers everyone. Instead of arguing about whether computer or human decision-making is better, we should focus on accountable and transparent decision-making. This means avoiding human biases and stereotypes as well as naive machine learning without considering its real-world implications. Transcript: Speaker 1 So the point is that it's not that data and algorithms are bad it's that they need to be applied in a way which is transparent and which is democratic and which empowers all of us to carry On these debates rather than simply being tools which accurately or inaccurately are being used to buy the powerful to control the rest of us it's silly to argue about which is better You know computer decision making or human decision making that's really not the point I mean the point is we should have accountable transparent decision making instead of bs there's Human bs which comes in the form of stereotypes in ideology and there's algorithmic bs which comes in the form of naive machine learning without thinking enough about its applications

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

COMPLEXITY: Physics of Life

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