Recommendations you can check.
AI product manager with a PhD in machine learning; worked at Google and at Meta's Reality Labs, and teaches AI product management.
2 things
You Look Like a Thing and I Love YouBook Janelle Shane
you look like a thing and I love you and I have it right here it's a great thing super super cool it's about how AI works and why it's making the world a weirder place it's actually a very fun book
Lenny's Podcast, "AI and product management", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
2023-02-05·youtube.com ↗
InspiredBook Marty Cagan
inspired it taught me it's all about how to create products people love by Marty Kagan
Lenny's Podcast, "AI and product management", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions). Captions spell the author "Marty Kagan".
2023-02-05·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.