The Gradient | Substack

2:01:56

Thomas Dietterich: From the Foundations

On developing theories in science, what "learning" means, robustness and sustainability, and what we should be building instead of LLMs.

Nov 30 •

Mini-Update #30: OpenAI Updates and GAIA

Sam Altman returns to OpenAI, and researchers develop a benchmark for general AI assistants.

Nov 28 •

and

Update #63: AI Brings Oxygen to Mars and Pretraining Data Mixtures

A break from the drama

Nov 21 •

,

, and

Most Popular

Update #40: AI's Year in Review and In-Context Learning as Gradient Descent

Jan 3 • daniel bashir, Derek Lim, and Tanmay Agarwal

Neural Algorithmic Reasoning

Oct 15 • The Gradient

An Introduction to the Problems of AI Consciousness

Oct 1 • The Gradient

The Artificiality of Alignment

Oct 7 • The Gradient

Update #56: Artificial Intimacy and Faithfulness in Chain-of-Thought Reasoning

Aug 15 • daniel bashir, Sharut Gupta, and Derek Lim

New

Top

Community

Martin Wattenberg: ML Visualization and Interpretability

On the principles and practice of interaction design, visualization and interpretability for ML systems, and how to understand and explain language…

Nov 16 •

1:42:04

Mini-Update #29: Grok and NOIR

Elon Musk's xAI releases its first AI model, and Stanford researchers propose a system that allows humans to control robots using brain signals.

Nov 14 •

and

Laurence Liew: AI Singapore

On the AI Singapore program, developing generational AI talent, and Singapore's place in the global AI ecosystem.

Nov 9 •

50:28

Update #62: The Generative AI Paradox and New AI Bills

Biden releases an Executive Order on AI; Rishi Sunak unveils a landmark deal on AI testing; researchers show that AI models' generative capabilities do…

Nov 7 •

and

Michael Levin & Adam Goldstein: Intelligence and its Many Scales

On diverse intelligence in unconventional embodiments and spaces, the concept of a Self, regenerative medicine, and more imaginative notions of AI.

Nov 2 •

57:20

Jonathan Frankle: From Lottery Tickets to LLMs

On sparsity in neural networks, what matters in research, and what AI practitioners and society should be thinking about.

Oct 26 •

1:08:21

Update #61: AI in Smartphone Cameras and MatFormer

We consider the implications of automated photo editing; researchers improve transformer inference efficiency.

Oct 24 •

,

, and

The Gradient

The Gradient

Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.

Recommendations

Artificial Intelligence Made Simple

Devansh

The AI Ethics Brief

Montreal AI Ethics Institute

Untangled with Charley Johnson

Charley Johnson

Davis Summarizes Papers

Davis Blalock

Last Week in AI

Last Week in AI

Magazine

Our Friends

Last Week in AI

Podcast

The Gradient

About Archive Recommendations Sitemap

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts