Newsletters & Podcasts
10 resources
Regular, free and worth the inbox space. Weighted towards writers who explain results rather than announce them.
The Batch
Andrew Ng's weekly newsletter on AI news and research
A free weekly newsletter from DeepLearning.AI.
Import AI
Jack Clark's weekly newsletter on research and policy
Covers AI policy and governance alongside research.
Ahead of AI
Sebastian Raschka on research and model internals
Long-form technical articles on LLM research and architecture.
Interconnects
Nathan Lambert on open models and post-training
Writing on open models, post-training and RLHF.
Simon Willison's Weblog
Notes on new models and tools from hands-on testing
A blog rather than a newsletter: frequent posts on LLM releases and tools, written from trying them.