What Eugene Yan's Newsletter Covers and How to Subscribe
Updated
Eugene Yan's newsletter covers recommendation systems (RecSys), LLMs/AI, and what he is learning, and it reaches more than 11,800 readers. To subscribe, use the email signup on eugeneyan.com — the site's "Send" link points to https://eugeneyan.com/subscribe/. The site does not state a sending frequency, price, or login requirement, so treat those as unconfirmed until you see the signup page.
What the newsletter is about
The site describes the newsletter as covering "RecSys, LLMs/AI, and what I'm learning." That matches the topics Eugene Yan writes about on the site itself: AI-powered products, recommendation systems, and engineering. Recent posts listed on the homepage include:
- Patterns for Building Cybersecurity Evals (21 Jun 2026)
- Using LLMs to Secure Source Code (27 May 2026)
- How to Work and Compound with AI (03 May 2025)
- Product Evals in Three Simple Steps (23 Nov 2025)
- Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs (14 Sep 2025)
- Evaluating Long-Context Question & Answer Systems (22 Jun 2025)
If those topics match what you want in your inbox, the newsletter is likely a fit. If you want only hands-on tutorials, the site's Writing section may serve you better than email updates.
Who is behind it
Eugene Yan is a Member of Technical Staff at Anthropic, where he works on recommendation systems and AI-powered products. He has led ML/AI teams at Amazon, Alibaba, Lazada, and a healthtech Series A company. He also teaches applied ML/LLMs at ApplyingML.com and Applied-LLMs.org and builds prototype apps such as AI Reading Club, AlignEval, Obsidian Copilot, and AI Coach. The newsletter is his personal channel, separate from those teaching sites.
How to subscribe
- Go to eugeneyan.com.
- Find the email updates section — the site shows a "Send" link for the newsletter.
- Follow that link to https://eugeneyan.com/subscribe/ and complete the signup form there.
Expected result: you receive email updates from Eugene Yan. The site does not specify how often emails arrive, so check the signup page or your first email for cadence details.
Common snags
- No frequency listed: the homepage does not say whether the newsletter is weekly, monthly, or irregular. Don't assume a schedule before you sign up.
- No price shown: the site does not mention a cost. The signup page is the place to confirm whether any paid tier exists.
- Not the same as the teaching sites: ApplyingML.com and Applied-LLMs.org are separate educational resources. Subscribing to the newsletter does not enroll you in those.
- Archive vs. email: all posts are readable on the site without subscribing. Subscribe only if you want updates delivered rather than checking the homepage.