Using the Gradient of Capacity in Liquid Democracy

Layman Pascal interviews Jim about the principles and strategies that could transform Twitter into infrastructure for collective intelligence. They discuss Jim's motivation in engaging the topic, Musk's current lack of strategic intent, the least bad unfairness, avoiding point of view moderation, distinguishing between style and content, decorum, user-controlled filters, GameB's erroneous ban from Facebook, principles of fair enforcement, setting thresholds between private & public domains, whether Twitter is a public utility, advantages & risks of open-sourcing Twitter's code, two kinds of censorship, culpability around links, replacing the ad model with a subscription service, a connection with liquid democracy, issues with de-platforming, modulating viscosity, social media choices as socially consequential, adding groups, risks of the downvote, gradient rating systems, emergent engineering & why no one's using it, identity authentication, likely near-future problems, automating sophisticated moderation, experimenting with character limits, wild-card content, a community disinformation immune system, optimizing for time well spent, and much more.