first third is common knowledge by now, the last one appears a bit dated, but the middle part still has something to offer to today's tech entrepeneur
The book is an interesting read and provides a lot research on sleep (and dreaming), but I could not get rid of the feeling that the author is overstating his case - the a good night's sleep is a cure for basically everything.
I found the citation of literature a bit lacking - sometimes he provides a source for something as mundane as a website with car crash statistics, but he fails to provide it for some hard-to-believe research that shows that having a few drinks 2 full days after learning completely messes up recall 7 days (!) after learning.
His attempt to explain effects of alcoholism and delirium tremens through lack of dreams also seems very speculative.
What most bothered me is his insistence on the magical number of 8 hours of sleep. I totally get the point of needing to sleep enough, but why a round 8 (also exactly a third of the day)? Why not 7h 45 min, why not 8h 30min? How come it's not dependent on your body (sex, constitution), your psychological character, the type of work you do (intellectual vs physical), larks vs night-owls... The only difference that the author seems to acknowledge is age - teens need more sleep and their schedule is shifted compared to adults.
Anyway, I read this a few months ago, so I seem to only remember the annoying parts. Nevertheless, there's plenty of informative and inspiring stuff in this book, so do read it ;)
I guess the book is meant for a lay audience so I didn't learn all that much. There was some cultural insight into China (helping me lose a few preconceptions), but not much new about AI. There's a lot of starry-eyed predictions of how AI and data will improve everything, but no details or original examples, just repeating the well-known ones. (Also, he's name-dropping companies a lot, which I can only assume are his investments).
Thankfully, the author is aware of the real issues (societal problems due to automation, not AGI and robot overlords). I kinda liked the summary of various predictions of jobs to be automated soon. His critique of universal basic income as just a patch that the Silicon Valley elite wants to use to keep the masses docile was the most original idea in the book for me. But again, when the author tries to give some ideas on solutions, they're vague (and naive?) ideas: a class of ethical investors should develop who are content with linear returns and government should somehow reward socially-beneficial activities.