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funny inspiring reflective medium-paced
informative lighthearted medium-paced

This book somehow manages to be informative about AI, accessible to people of any background, and hilariously witty all at once. It's the best nonfiction book I read in 2020. Absolutely must read.

3.5 stars rounded down. Mostly a very good intuitive explanation of machine learning, its applications, and its weaknesses. The cartoons are amusing, and the anecdotes are sometimes quite surprising. Rounding down because it got a bit loose and repetitive towards the end, without going deeper into the subject. Still recommended.

I wish there was an appendix to contextualize the recent AI boom. Overall, pretty informative. I got sick of the robot voice reading recipes pretty quickly. 

I found this a very accessible and funny book on current technology around A.I.'s. I'm trying to get my 14 year old son to read it now. The illustrations are charming and help keep the book light. Shane's take on AIs is very conservative -- i.e. she is not worried like Nick Bostrom about the possibilities of AI superintelligence or an AI takeover.
funny informative lighthearted medium-paced

Funny. Also informative, but I found it to be a little repetitive. I enjoyed the humorous recipes, and giggled uncontrollably when reading some of the generated text, but found the author leaned on them a little too much to pad out the book. I did enjoy the explanation of the many ways that "solve this problem with AI can go wrong". Recommended for those who are looking for an introduction to the current state of the field.

Machine learning is quite the monster.

Not only is the title a perfect encapsulation of my sexual orientation the book is an absolute delight. So many claims are being made for AIs but what can they actual do? What kinds of problems can they solve what can’t they solve. The book is hilarious and accessible dive into the various pitfalls of AI learning. AIs will cheat, fall over, forget what they are doing and basically act very very strange. You’ll learn why AI image recognition insists giraffes exist where none are visible. And how different AIs trained on the same database understand each other in uncanny ways.

AIs can also replicate the worst of humanity and we need to be very cautious in how we use them. This is great resource to develop skepticism for those AI claims that are just too good to be true.