Co-founder and CEO of Every; writes the Chain of Thought column on working with AI tools and hosts the AI & I podcast.
recommended
the master and his emissary is another really good one and that's about um basically how the different hemispheres of the brain uh view reality. It's really really good
Lenny's Podcast, "The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code.", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
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:
Hardware, services4 years
Software5 years
Podcasts, courses, other8 years
Books25 years
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.