Introspection is a foundational cognitive ability, but its mechanism is not well understood. Recent work has shown that AI models can introspect. We study their mechanism of introspection, first exten...

Process Feedback enables teachers and students to see the writing process and AI usage. It helps students reflect on their writing and the role of AI.

Anthropic has given its AI the right to end conversations when it is “distressed.” But doing so could be akin to unintended suicide.

A psychologist explores common knowledge and coordination

This paper investigates LLMs from the perspective of interpretationism, a theory of belief and desire in the philosophy of mind. We argue for three conclusions. First, the right object of study ...

How Linguistics Learned to Stop Worrying and Love the Language Models

Scott Aaronson’s Brief Foreword: Harvey Lederman is a distinguished analytic philosopher who moved from Princeton to UT Austin a few years ago. Since his arrival, he’s become one of my …

Scott Aaronson’s Brief Foreword: Harvey Lederman is a distinguished analytic philosopher who moved from Princeton to UT Austin a few years ago. Since his arrival, he’s become one of my …

Scott Aaronson’s Brief Foreword: Harvey Lederman is a distinguished analytic philosopher who moved from Princeton to UT Austin a few years ago. Since his arrival, he’s become one of my …

Buy After the Spike: Population, Progress, and the Case for People on Amazon.com ✓ FREE SHIPPING on qualified orders

Buy After the Spike: Population, Progress, and the Case for People on Amazon.com ✓ FREE SHIPPING on qualified orders

Bradford (2023) calls attention to the fact that the strength of our reasons to preserve distinctively valuable objects increases as the number of such objects decreases. Bradford develops an account ...

This article presents a new argument against many forms of moral and prudential value incompleteness. The argument relies on two central principles: (i) a weak "negative dominance" principle...

YouTube video by Chris Potts

Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, linguists can use neural networks to explore how people learn.