Newsletters & Podcasts
11 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
Free, weekly, and consistently good at putting a result in context rather than restating a press release.
Import AI
Jack Clark's weekly newsletter on research and policy
Unusual for covering the policy and governance side as seriously as the technical one.
Ahead of AI
Sebastian Raschka on research and model internals
Long-form and technical — closer to a written lecture than a news digest.
Interconnects
Nathan Lambert on open models and post-training
Written from inside the open-model research world, and specific about training details most coverage skips.
The Gradient
Essays and interviews on machine learning
Longer essays with an editorial standard, rather than a weekly roundup.
Simon Willison's Weblog
Close reading of what new models can actually do
Not a newsletter as such, but among the most reliable running commentary on LLM capabilities, written from hands-on testing.