The Gradient: Perspectives on AI

2024 in AI, with Nathan Benaich

Philip Goff: Panpsychism as a Theory of Consciousness

Some Changes at The Gradient

Jacob Andreas: Language, Grounding, and World Models

Evan Ratliff: Our Future with Voice Agents

Meredith Ringel Morris: Generative AI's HCI Moment

Davidad Dalrymple: Towards Provably Safe AI

Clive Thompson: Tales of Technology

Judy Fan: Reverse Engineering the Human Cognitive Toolkit

L.M. Sacasas: The Questions Concerning Technology

Pete Wolfendale: The Revenge of Reason

Peter Lee: Computing Theory and Practice, and GPT-4's Impact

Manuel & Lenore Blum: The Conscious Turing Machine

Kevin Dorst: Against Irrationalist Narratives

David Pfau: Manifold Factorization and AI for Science

Dan Hart and Michelle Michael: Bringing AI to Students in New South Wales

Kristin Lauter: Private AI, Homomorphic Encryption, and AI for Cryptography

Sergiy Nesterenko: Automating Circuit Board Design

C. Thi Nguyen: Values, Legibility, and Gamification

Vivek Natarajan: Towards Biomedical AI

Thomas Mullaney: A Global History of the Information Age

Seth Lazar: Normative Philosophy of Computing

Suhail Doshi: The Future of Computer Vision

Azeem Azhar: The Exponential View

David Thorstad: Bounded Rationality and the Case Against Longtermism

Ryan Tibshirani: Statistics, Nonparametric Regression, Conformal Prediction

Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts

Michael Sipser: Problems in the Theory of Computation

Andrew Lee: How AI will Shape the Future of Email

Joss Fong: Videomaking, AI, and Science Communication

Kate Park: Data Engines for Vision and Language

Ben Wellington: ML for Finance and Storytelling through Data

Venkatesh Rao: Protocols, Intelligence, and Scaling

Sasha Rush: Building Better NLP Systems

Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs

Nicholas Thompson: AI and Journalism

Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs

Russ Maschmeyer: Spatial Commerce and AI in Retail

Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research

Ted Gibson: The Structure and Purpose of Language

Harvey Lederman: Propositional Attitudes and Reference in Language Models

Eric Jang: AI is Good For You

2023 in AI, with Nathan Benaich

Kathleen Fisher: DARPA and AI for National Security

Peter Tse: The Neuroscience of Consciousness and Free Will

Vera Liao: AI Explainability and Transparency

Thomas Dietterich: From the Foundations

Martin Wattenberg: ML Visualization and Interpretability

Laurence Liew: AI Singapore

Michael Levin & Adam Goldstein: Intelligence and its Many Scales