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AI 2041: Ten Visions for Our Future by Chen Qiufan
BATB score: 10/10 🦾🚀🤖 This book is so important, a critical read, a hidden gem 💎. It's reading 10 visions (like a fortune teller) on what our future would look like. Dude, it can not get any more crazy mind-blown than this. 🤯 Everything is in this book: GDPR, AR/VR/XR, crypto mining, deepfake, AI job displacement, natural language computing, cyber security, and omg meaning of life. This book is smarter than all of us. Best to: You know how Mark Zuckerburg calls out 'Meta


Co-Intelligence: Living and Working with AI by Ethan Mollick
BATB score: 6.6/10 🤖 *reader discretion advised* BATB is just a little bit bored of the GenAI/LLM hype 🫥 Best as: a great book about GenAI / LLM fundamentals, historical key milestones, reference cases, controversies, and future analysis 🧐 Best to: conclude the major takeaways of this book into bullet points, memorize them, own them; you are now equipped and qualified to go on a GenAI panel / discussion / keynote talk; you will looks legit - ahh what a charismatic knowledg


AIQ: How Artificial Intelligence Works and How We Can Harness Its Power For a Better World by Nick Polson and James Scott
BATB score: 7.5/10 💛 *reader discretion advised: nerd alert* Best as: the mathematics behind GenAI; “personalization” means “conditional probability” and how Netflix customization and ratings works and the equations behind them all Best for: Bayes’s Rule as an Equation: P (H | D) = [ P(H) + P(D|H) ] / P(D) ; where P is probability, H is Hypothesis, and D is Data BATB lingering thought: The prevalence of breast cancer among people like Alice is 1%. That is, for every 1,000 40
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