43March 17, 2021
Cade Metz, technology correspondent at The New York Times, joins Azeem Azhar to discuss his new book Genius Makers. In it, he tells the story of the pioneers who brought AI out of academic labs, sparking a Big Tech arms race and transforming our everyday lives.
They also discuss:
- How deep learning went from an unworkable concept to fueling the AI boom.
- Why bias and prejudice “baked in” to an AI system are almost impossible to remove.
- Which early signals tech giants followed to develop AI even before deep learning went mainstream.
@CadeMetz
@azeem
@ExponentialView
Further resources
- Genius Makers (Cade Metz, 2021)
- “DeepMind’s Journey from Games to Fundamental Science” (Exponential View podcast with Demis Hassabis, 2020)
- “How GPT-3 Is Shaping Our AI Future” (Exponential View podcast with Sam Altman, 2020)
- “An AI Pioneer Explains the Evolution of Neural Networks” (Wired, 2019)
HBR Presents is a network of podcasts curated by HBR editors, bringing you the best business ideas from the leading minds in management. The views and opinions expressed are solely those of the authors and do not necessarily reflect the official policy or position of Harvard Business Review or its affiliates.