Recommendations you can check.
Co-founder of Anthropic; earlier at OpenAI and a software engineer at Google.
5 things
Replacing GuiltBook Nate Soares
Replacing Guilt by Nate Sores. Love that one.
Lenny's Podcast, "Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions). Captions spell the author "Nate Sores".
2025-07-20·youtube.com ↗
PantheonOther
Pantheon was really good based on uh uh Kenloo or Ted Chang story. Uh Kenloo, I think. Um super good.
Lenny's Podcast, "Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions). The animated series.
2025-07-20·youtube.com ↗
Ted LassoOther
Ted Lasso, which is supposedly about soccer, but actually it's about like human relationships and how we how people get along and just like super heartwarming and funny.
Lenny's Podcast, "Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions).
2025-07-20·youtube.com ↗
Good Strategy, Bad StrategyBook Richard Rumelt
the second one is Good Strategy, Bad Strategy by Richard Ruml. Just thinking about in a very clear way, how do you build product? Uh, it's one of the best strategy books I've read.
Lenny's Podcast, "Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
2025-07-20·youtube.com ↗
The Alignment Problem: Machine Learning and Human ValuesBook Brian Christian
the last one is the alignment problem by Brian Christian. Um, just really thoughtfully goes through like what is this problem that we care about that we're trying to solve here? What are the stakes in a a version that's like more updated and easier to read and digest than super intelligence?
Lenny's Podcast, "Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
2025-07-20·youtube.com ↗
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.
The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.