The Gradient

Home
Chat
Articles
The Update
The Gradient Podcast
Archive
About
Update #59: Generative AI in the Classroom and Next-Token Predictors as Universal Learners
We consider the benefits and drawbacks of using generative AI to help teachers and students; Eran Malach argues that auto-regressive next-token…
 • 
daniel bashir
, 
Justin Landay
, and 
Derek Lim
Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve
On why "AI will change the world" narratives might be less true than you think.
 • 
daniel bashir
Mini-Update #26: Schumer's AI insight forum and PagedAttention
Senator Chuck Schumer hosts the first bipartisan federal AI forum, and researchers develop an optimization to make LLMs more efficient and effective.
 • 
Ather Fawaz
 and 
Jonathan Xue
Most Popular
View all
Update #40: AI's Year in Review and In-Context Learning as Gradient Descent
 • daniel bashir, Derek Lim, and Tanmay Agarwal
6
Update #56: Artificial Intimacy and Faithfulness in Chain-of-Thought Reasoning
 • daniel bashir, Sharut Gupta, and Derek Lim
1
Update #51: ChatGPT-hallucinated Briefs in Court and Voyager
 • daniel bashir, Derek Lim, and Justin Landay
Gil Strang: Linear Algebra and Deep Learning
 • daniel bashir
Update #52: The Ironies in Pausing AI and Finetuning LLMs without Backpropagation
 • daniel bashir, Derek Lim, and Justin Landay
7
New
Top
Community
Miles Grimshaw: Benchmark, LangChain, and Investing in AI
On investing in AI through the deep learning decade, Benchmark's LangChain investment, and emerging opportunities for AI.
 • 
daniel bashir
1
Update #58: Hidden Meme Messages & LLMs as Optimizers
New work develops AI techniques for encoding hidden messages in innocuous media, and a DeepMind team develops a framework for using LLMs to solve…
 • 
daniel bashir
, 
Derek Lim
, 
Sharut Gupta
, and 
Justin Landay
2
30K Subscriber Special: The Gradient Editors on Grad School
Some of our Gradient editors on their experiences in grad school!
 • 
daniel bashir
6
Text-to-CAD: Risks and Opportunities
On AI systems that accept a text prompt to produce a 3D CAD (computer-aided design) model
1
Shreya Shankar: Machine Learning in the Real World
On what makes ML engineering hard and how to think about it.
 • 
daniel bashir
Article Early Access | Text-to-CAD: Risks and Opportunities
Preview of Text-to-CAD: Risks and Opportunities for paying subscribers
 • 
The Gradient
Mini-Update #25: ChatGPT Enterprise and StableVideo
OpenAI launches a ChatGPT service for corporate use, and researchers at Microsoft release a text-driven framework for video editing.
 • 
Ather Fawaz
 and 
Jonathan Xue
The Gradient
The Gradient
Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.
Recommendations
View all 11
Ahead of AI
Ahead of AI
Sebastian Raschka, PhD
Gwern.net Newsletter
Gwern.net Newsletter
gwern
ChinAI Newsletter
ChinAI Newsletter
Jeffrey Ding
The AI Ethics Brief
The AI Ethics Brief
Montreal AI Ethics Institute
Artificial Intelligence Made Simple
Artificial Intelligence Made Simple
Devansh
Magazine
Articles
Write with us
Our Friends
Skynet Today
Last Week in AI
Podcast
Spotify
Apple Podcasts
Pocket Casts
RSS
© 2023 The Gradient
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great writing