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 •

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, and

The Gradient

The Gradient

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

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