Episode description

Google researcher Blaise Agüera y Arcas spends his work days developing artificial intelligence models and his free time conducting surveys for fun. He tells Steve how he designed an algorithm for the U.S. Navy at 14, how he discovered the truth about printing-press pioneer Johannes Gutenberg, and when A.I. first blew his mind.

• SOURCE:
  • Blaise Agüera y Arcas, fellow at Google Research.

• RESOURCES:
  • Who Are We Now?, by Blaise Agüera y Arcas (2023).
  • "Artificial General Intelligence Is Already Here," by Blaise Agüera y Arcas and Peter Norvig (Noema Magazine, 2023).
  • "Transformer: A Novel Neural Network Architecture for Language Understanding," by Jakob Uszkoreit (Google Research Blog, 2017).
  • "Communication-Efficient Learning of Deep Networks from Decentralized Data," by H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas (arXiv, 2016).
  • "How PhotoSynth Can Connect the World's Images," by Blaise Agüera y Arcas (TED Talk, 2007).
  • "Has History Been Too Generous to Gutenberg?" by Dinitia Smith (The New York Times, 2001).

• EXTRAS:
  • "'My God, This Is a Transformative Power,'" by People I (Mostly) Admire (2023).
  • "How to Think About A.I.," series by Freakonomics Radio (2023).
  • "Satya Nadella’s Intelligence Is Not Artificial," by Freakonomics Radio (2023).
  • "Yul Kwon (Part 2): 'Hey, Do You Have Any Bright Ideas?'" by People I (Mostly) Admire (2021).
  • "Yul Kwon: 'Don’t Try to Change Yourself All at Once,'" by People I (Mostly) Admire (2021).