Genius Makers by Cade Metz

Overview of Genius Makers
"Genius Makers" unveils the maverick scientists who revolutionized AI at Google and Facebook. Walter Isaacson called it a "colorful page-turner" that humanizes tech's most transformative quest. What ethical price are we paying as Geoffrey Hinton's deep learning dreams reshape our world?
About its author - Cade Metz
Cade Metz is a technology correspondent for The New York Times and the author of Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World, a critically acclaimed examination of artificial intelligence’s evolution and its societal implications.
With over 25 years of experience covering tech giants like Google, Microsoft, and OpenAI, Metz combines deep industry insight with a narrative-driven approach to dissecting AI’s ethical challenges, corporate rivalries, and breakthroughs. His expertise spans robotics, virtual reality, and blockchain, informed by roles as a senior writer at WIRED, U.S. editor of The Register, and contributor to publications like PC Magazine.
Metz’s work has been featured on Craig Smith’s Eye on AI podcast and documentaries like AlphaGo (2017), reflecting his authority in bridging technical complexity with accessible storytelling. Born into a tech-centric family—his father helped develop the Universal Product Code (UPC) at IBM—Metz holds a Bachelor’s in English from Duke University and began his career as a playwright before transitioning to journalism.
Genius Makers, lauded for its rigorous research and vivid profiles, has become a pivotal resource for understanding AI’s global impact, cited in academic and industry discussions alike.
Key Takeaways of Genius Makers
- Neural networks' resurgence defined AI's leap from theory to real-world impact.
- Collaboration between academia and tech giants accelerated deep learning breakthroughs.
- Ethical risks of AI mirror its potential for societal transformation.
- Geoff Hinton's persistence revolutionized machine perception through backpropagation innovation.
- DeepMind's AlphaGo victory marked AI's crossover into human intuition domains.
- AI's bias problem stems from training data, not algorithmic intent.
- Self-driving car evolution showcases AI's promise and safety paradoxes.
- Cade Metz traces AI's power shift from IBM to Google.
- Language models like GPT-3 expose creativity-automation tension in AI.
- Military AI applications raise urgent questions about autonomous warfare ethics.
- Meta's Yann LeCun championed open-source AI to democratize innovation.
- Talent wars between Silicon Valley firms shaped modern AI infrastructure.