Resources and References

News

AI-related developments happen so quickly that it’s impossible to keep up through mainstream media. Fortunately there are many well-curated regular summaries that present the latest important updates concisely.

Newsletters I read

My favorite is TLDR AI, which is part of a family of tech newsletters. I like the format, which consists of fewer than 20 links per day, divided into categories (Headlines and Launches, Research and Innovation, Engineering and Resources, Misc) each summarized concisely in a short paragraph.

I stopped reading AI Secret because its format is too long for me. Much of it consists of apparently AI-generated summarizations that I found myself skipping.

Other Newsletters

Buttondown goes thru all AI discords/Twitters/reddits and summarizes what people are talking about. Way too much to read, but you can also search.

Top Unlisted AI Newsletters Ten newsletters that summarize AI academic papers and other news.

The Neuron Daily

What Did OpenAI Do This Week paywalled Substack newsletter.

Jon Stokes Ai newsletter recommended by Balajis “Maybe the best AI writer out there, in terms of understanding both the technology and the social implications.” - 📣 Decentralized speech - ₿ Decentralized money - 🤖 Decentralized AI

Arvind Narayanan’s AI Snake Oil is recommended by David Chapman as somebody who “He combines skeptical takes on current AI technical practice with analyses of the social impacts of current and near-future AI”

Resources

Simon Willison writes prolifically and in-depth from a technical angle.

Letters from Andrew Ng and subscribe to their weekly news summary

A monthly editorializing news summary from Nathan Benaich in a condensed format along with references to key papers, investment funding, etc. A more efficient way to read the important news than from daily newsletters.

For hardcore academic and research information Allen AI Institute (AI2)’s Harmonious.ai site offers weekly paper roundups by researcher Vu Ha.

Anti-hype LLM reading list “reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred”

Association for Computational Linguistics 2023 Best Papers

list of language model (from Jeff Zhang): 2023 LifeArchitect.ai data (shared)

Madrona Event Jan 23 Foundation Models for AI

A16Z and their AI Canon is a succinct list of important AI-related links, by category.

Summary of top academic articles by SEBASTIAN RASCHKA A Cross-Section of the Most Relevant Literature To Get Up to Speed