Ongoing sources I return to — blogs, podcasts, channels, newsletters.
Spencer Greenberg's interview podcast on psychology, rationality, and self-improvement, often testing popular ideas (personality systems, self-help advice, decision-making heuristics) against data and expert interviews.
Peter Attia's long-form podcast covering longevity, healthspan, and performance science through expert interviews and solo AMAs.
NPR's practical advice podcast covering health, money, relationships, and everyday life — short episodes with actionable takeaways from experts.
Hadley Wickham's Substack on the principles of tidy design — API and software design through the lens of R and the tidyverse.
Y Combinator's community link aggregator — tech, science, startups, and ideas. The comment threads are often as valuable as the submissions.
Community-curated weekly digest of the best R-related content — tutorials, packages, blog posts, and news. The single best way to stay current with the R ecosystem.
Reading since 2018. I'm a curator on the team. Pairs well with an AI assistant for exploring the links.
A podcast about machine learning and data science hosted by Katie Malone and Ben Jaffe. Approachable explanations of ML concepts without dumbing them down.
Back with new episodes on Substack. Also available on Spotify.
Simon Willison's blog covering AI, Python, web tools, and data. Prolific writer with a strong point of view — his LLM and tooling posts are essential reading.
His weblog and TIL posts inspired this site. The link roundups are gold.