Genius Makers Summary & Review: The Human Story Behind the AI Boom

Cade Metz tells the human story of how a small, stubborn group of researchers dragged neural networks from obscurity to the center of Google and Facebook.

Cade Metz tells the human story of how a small, stubborn group of researchers dragged neural networks from obscurity to the center of Google and Facebook.

Amy Webb identifies the nine companies steering AI development and argues neither market pressure nor state control will get us to a safe future alone.

Thomas Davenport and Steven Miller studied 29 real AI deployments and found the same pattern again and again: augmentation, not automation, wins.

Gary Marcus and Ernest Davis argue deep learning alone can’t deliver trustworthy AI — and lay out what hybrid, common-sense-grounded systems would need to look like instead.

Prediction Machines by Agrawal, Gans & Goldfarb explains AI as a drop in the cost of prediction — and why human judgment becomes more valuable, not less. Summary, key concepts, and a 7-day plan.

Sahil Bloom's The 5 Types of Wealth argues real wealth spans Time, Social, Mental, Physical, and Financial dimensions. Here's the full framework, plus a 7-day plan to apply it.

Erik Brynjolfsson and Andrew McAfee's The Second Machine Age explains the bounty and the spread of digital technology — why productivity soars while median wages stall. Summary, key concepts, and a 7-day plan.

Janelle Shane's You Look Like a Thing and I Love You uses AI's funniest failures to explain how neural networks really work. Summary, key concepts, and a 7-day plan.

The Alignment Problem by Brian Christian traces how machine learning goes wrong through representation, reward, and agency — and how researchers are fixing it. Summary, key concepts, and a 7-day plan.

Human Compatible by Stuart Russell argues AI should stay uncertain about human goals, not certain about the wrong ones. Summary, 3 principles, and a 7-day plan.

Nick Bostrom's Superintelligence lays out the orthogonality thesis, instrumental convergence, and the control problem behind modern AI safety thinking.

Kai-Fu Lee's AI Superpowers maps the US-China AI race, which jobs are actually at risk, and what a cancer diagnosis taught him about what AI can't replace.