Current AI interfaces lull us into thinking we’re talking to something that can make meaningful judgments about what’s valuable. We’re not — we’re using tools that are tremendously powerful but nonetheless can’t do“meaningmaking” work (the work of deciding what matters, what’s worth pursuing). I developed and tested with first-year undergraduates a pen-and-paper prototype designed to isolate the core mechanisms for thinking critically while using AI tools. Participants used ...| Vaughn Tan
In June, I ran a workshop with 15 researchers from diverse fields to develop practical, implementable mechanisms for experiencing different types of not-knowing firsthand. While we identified some new categories of not-knowing beyond those in my original framework, the real breakthrough was creating concrete prototype ideas — like“the camera of not-knowing” that forces you to take action without understanding the causation between your actions and results. As a group, we developed four ...| Vaughn Tan
Learn about FLF's AI fellowship focusing on human reasoning, offering stipends and support for projects improving decision-making and coordination technology.| The Future of Life Foundation
Formal risk (which is comfortingly quantifiable and optimisable) is not the same thing as true uncertainty. At this moment, it’s not an exaggeration| vaughntan.org
tl;dr: This article describes open-ended roles and negotiated joining, and gives 4 design principles for implementing them in an organisation. With| vaughntan.org
tl;dr: To make good strategic decisions, we need more sophisticated ways of understanding uncertainty. This research project introduces a new| vaughntan.org