Sitemap - 2024 - The Gradient
2024 in AI, with Nathan Benaich
Philip Goff: Panpsychism as a Theory of Consciousness
🔮 From ChatGPT to a billion agents
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
Jacob Andreas: Language, Grounding, and World Models
Evan Ratliff: Our Future with Voice Agents
Meredith Ringel Morris: Generative AI's HCI Moment
Update #83: AI Music Fraud and PlanSearch
Mini-Update #47: First International AI Safety Treaty and the WavTokenizer Codec
What's Missing From LLM Chatbots: A Sense of Purpose
Davidad Dalrymple: Towards Provably Safe AI
Clive Thompson: Tales of Technology
Update #82: AI Lawsuits and SOPHON
Judy Fan: Reverse Engineering the Human Cognitive Toolkit
Mini-Update #46: OpenAI-Condé Nast Partnership and Flexible Perception
L.M. Sacasas: The Questions Concerning Technology
Update #81: The EU AI Act's Enforcement and Self-Taught Evaluators
Pete Wolfendale: The Revenge of Reason
Mini-Update #45: OpenAI Security Breach and Accessible Diffusion Models
We Need Positive Visions for AI Grounded in Wellbeing
Peter Lee: Computing Theory and Practice, and GPT-4's Impact
Manuel & Lenore Blum: The Conscious Turing Machine
Kevin Dorst: Against Irrationalist Narratives
Update #79: Does AI Music Have a Future? Can Vision-Language Models See?
David Pfau: Manifold Factorization and AI for Science
Mini-Update #44: OpenAI Security Breach and Accessible Diffusion Models
Dan Hart and Michelle Michael: Bringing AI to Students in New South Wales
Update #78: Accelerating Candy Crush Development and Neural Network Flexibility
Kristin Lauter: Private AI, Homomorphic Encryption, and AI for Cryptography
Mini-Update #43: OpenAI buys Rockset and Diffusion on Syntax Trees for Code Generation
Sergiy Nesterenko: Automating Circuit Board Design
Update #77: AI-Generated News Cannibalizes Journalism and Open-Endedness for Superintelligence
C. Thi Nguyen: Values, Legibility, and Gamification
Vivek Natarajan: Towards Biomedical AI
Update #76: Directed-Energy Weapons and Epistemic Risks of AI in Science
Mini-Update #42: Google Removes AI Overviews and Attention Recast as RNN
Thomas Mullaney: A Global History of the Information Age
Seth Lazar: Normative Philosophy of Computing
Update #75: A Bad Week for AI Worriers, and The Platonic Representation Hypothesis
Suhail Doshi: The Future of Computer Vision
Mini-Update #41: OpenAI Unveils GPT-4o and Online Iterative RLHF
Azeem Azhar: The Exponential View
Update #74: Detecting Postpartum Depression and Kolmogorov-Arnold Networks
David Thorstad: Bounded Rationality and the Case Against Longtermism
Mini-Update #40: NIST Launches GenAI and Lifelike Facial Mimicking
Ryan Tibshirani: Statistics, Nonparametric Regression, Conformal Prediction
Update #73: Against Language Erasure and Better Long-Context Benchmarking
Financial Market Applications of LLMs
Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts
Mini-Update #39: 2024 AI Index Report and Autonomous Driving Detection
Michael Sipser: Problems in the Theory of Computation
Update #72: NYC's Unfortunate Chatbot and Mixture-of-Depths
A Brief Overview of Gender Bias in AI
Mini-Update #38: OpenAI's Voice Engine and LDM Scaling
Andrew Lee: How AI will Shape the Future of Email
Joss Fong: Videomaking, AI, and Science Communication
Update #71: Neuralink's First Human Trial and Controlling Language Model Hallucinations
Mini-Update #37: xAI's Open Source Grok and Apple's MM1
Kate Park: Data Engines for Vision and Language
Ben Wellington: ML for Finance and Storytelling through Data
Mini-Update #36: Claude 3 and 1-bit LLMs
Update #70: Apple Shutters Autonomous EV Project and Griffin + Hawk Compete with Transformers
Car-GPT: Could LLMs finally make self-driving cars happen?
Venkatesh Rao: Protocols, Intelligence, and Scaling
Do text embeddings perfectly encode text?
Sasha Rush: Building Better NLP Systems
Update #69: Gemini Overcompensates for Bias and Missing Details in Sora
Mini-Update #35: Sora and Gemini 1.5 Announcements
Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs
Nicholas Thompson: AI and Journalism
Update #68: Whispering Indigenous Languages and Neural Net Training Dynamics
Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs
Mini-Update #34: Taylor Swift Deepfakes and Efficient Exploration for LLMs
Russ Maschmeyer: Spatial Commerce and AI in Retail
Update #67: AI Confuses Elections and Conversational Diagnostic AI
Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research
Mini-Update #33: OpenAI's Crowdsourced Governance and Self-Rewarding Language Models
Ted Gibson: The Structure and Purpose of Language
Update #66: SAG-AFTRA's Voice Cloning Deal and Sleeper Agents
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
Harvey Lederman: Propositional Attitudes and Reference in Language Models