💡Did you know that a small group of researchers once sparked a multi-million dollar bidding war between global tech giants, forever changing how we value human intelligence?
💡Have you ever wondered what really happens behind the closed doors of companies like Google and Facebook as they race to build a machine that can think for itself?
💡Are you curious about the hidden rivalries and ethical dilemmas that shaped the AI revolution, and what they reveal about our future in a world run by algorithms?
Listen to Genius Makers
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What You'll Learn from Genius Makers
✓Early research into artificial intelligence faced skepticism.
✓Deep learning turned neural networks into tech’s new favorite toy.
✓Silicon Valley’s largest companies funneled money into AI research.
✓Neural networks could surpass humans in many different fields.
✓More advanced AI could warp and distort our perception of reality.
Genius Makers Chapter Overview
Chapter 1: AudiobookHub Recommendation
Chapter 2: Early research into artificial intelligence faced skepticism.
Chapter 3: Deep learning turned neural networks into tech’s new favorite toy.
Chapter 4: Silicon Valley’s largest companies funneled money into AI research.
Chapter 5: Neural networks could surpass humans in many different fields.
Chapter 6: More advanced AI could warp and distort our perception of reality.
Chapter 7: AI can be readily exploited for political purposes.
Chapter 8: Neural networks still fail to think or learn in the same way humans do.
Chapter 9: Researchers are still striving to push AI beyond today’s limitations.
About Genius Makers
Genius Makers (2021) tells the story of the current race to develop artificial intelligence. This expansive report covers the sprawling history of AI, from its early development to today’s current controversies.
Who Should Listen to Genius Makers
AI skeptics critical of emerging trends
Techno-utopians eager for the digital singularity
Anyone curious about the future of computers
About Cade Metz
Cade Metz is a reporter at the New York Times specializing in robotics, artificial intelligence, and other digital technology issues. Previously, he was a senior staff writer with Wired magazine.