The Thinking Machine

“ The deep-learning revolution was as much a revolution in hardware as software. ” e.style.display='none');if(typeof getContentsSections==='function')setTimeout(getContentsSections,50)" /> Nvidia's rise is an improbable marriage. Neural networks — software modeled on biological brains — had been considered obsolete toys since the 1960s. Parallel computing — processing many calculations simultaneously on a single chip — had a zero percent commercial success rate before Nvidia. Neither had obvious customers; both were starved of funding and dismissed by serious researchers. When AlexNet was trai

Lesson 1: Two cast-off technologies nobody wanted fused to create the AI era

This principle from The Thinking Machine is backed by Stephen Witt's extensive research and real-world examples. Understanding it deeply can shift how you approach decisions, relationships, and long-term planning in meaningful ways.

Lesson 2: Act thirty days from bankruptcy, especially when profits soar

This principle from The Thinking Machine is backed by Stephen Witt's extensive research and real-world examples. Understanding it deeply can shift how you approach decisions, relationships, and long-term planning in meaningful ways.

How to Apply The Thinking Machine's Lessons

The real value of The Thinking Machine lies in its applicability. After reading, the most important step is identifying which of Stephen Witt's principles speak most directly to your current situation.

Consider keeping a journal while reading — noting where the ideas challenge your current approach and where they confirm what you already suspected. The friction of your own resistance often points to the most important insights.

Key Quote

"Two cast-off technologies nobody wanted fused to create the AI era" — Stephen Witt, The Thinking Machine

About the Author

Stephen Witt is the author of The Thinking Machine. The book reflects years of research, observation, and synthesis of evidence from multiple disciplines.