A Platform for Discussion and Learning about AI

The Gradient is an organization with the missions of making it easier for anyone to learn about AI and of facilitating discussion within the AI community. Our current projects include The Gradient Magazine, The Gradient Podcast, The Update newsletter, and the Mastodon instance Sigmoid Social.

We are a non-profit and volunteer-run effort run by a collection of grad students, researchers, and engineers from various institutions and companies. We were founded in 2017 by a group of students and researchers at the Stanford Artificial Intelligence Laboratory (SAIL).

What is on The Gradient

Our magazine primarily hosts two types of articles: accessible but technically informed overviews of the state of the art and its future, and critical and well-informed perspectives on artificial intelligence topics by researchers and experts in the field. Some example articles are:

• The Economics of AI Today

• Introduction to Artificial Life for People who Like AI

• The Promise of Hierarchical Reinforcement Learning

• NLP's ImageNet moment has arrived

• Quantifying Independently Reproducible Machine Learning

• The #BenderRule: On Naming the Languages We Study and Why It Matters.

Our Update newsletter covers recent and important news items and papers—we aim to provide context and perspective in addition to the latest stories and editor-picked research papers.

Our Podcast looks at AI from a variety of angles: we interview researchers across the spectrum of AI, investors, industry executives, science fiction authors, and more. People seem to like it :)

dave @dmvaldman

The @gradientpub is quickly becoming my favorite AI podcast. It comes at AI from so many angles, from conceptual/philosophical to practical/detailed. The last episode with sci-fi author @kyliu99 is a banger. It ends with such beautiful advice for any technical creator...

4:09 PM ∙ Feb 26, 2023

---

29Likes7Retweets

Juan Mateos Garcia @JMateosGarcia

Fantastic @gradientpub interview with Yoshua Bengio. It focuses on his work enhancing deep learning's powerful pattern recognition capabilities with high level concepts. It all comes down to making AI systems humbler, more efficient and more robust.

thegradientpub.substack.comYoshua Bengio: The Past, Present, and Future of Deep LearningOn a distinguished career, deep learning’s promise, and directions for the field.

11:25 AM ∙ Nov 25, 2022

---

10Likes5Retweets

Zachary Lipton @zacharylipton

This delightful @gradientpub podcast interview w @PreetumNakkiran by @spaniel_bashir provides an accessible intro to what’s known abt the foundations of deep learning, why it’s important to do foundational research, & what form the next steps might take. open.spotify.com/episode/6L4nVG…

7:22 PM ∙ Jul 3, 2022

---

119Likes23Retweets

Support The Gradient

We are a non-profit and volunteer-run effort run by researchers in the AI community. We greatly appreciate your support, which will help us cover hosting costs and other expenses. In return, you will get:

• Early access to new Gradient articles,

• Perpetual access to our bi-weekly newsletter and podcast series