📚 Quinn's Highlights

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

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

When business leaders describe their organisational cultures as embracing what it means to ‘fail fast’ or suggesting that we are all in a ‘learning organisation’, it rings hollow if the aspirations are not lived and structurally supported. Employees see through the public relations of an organisation that markets itself as innovative yet executes the same playbook year after year.

Driving Data Projects: A Comprehensive Guide

Haskell, Christine

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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