Social Intelligence with Blaise Aguera y Arcas

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Blaise Aguera y Arcas, a Distinguished Scientist at Google.

We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss Blaise’s role at Google, where he leads the Cerebra team, their approach to machine learning at the company, and how they differ from the more forward-facing Google Brain team. Blaise then gives us a look into his presentation, which we’ve linked to below, discussing today’s ML landscape, the gap between AI and ML/DS and why it exists, the difference between intelligent systems and what we would deem to be “actual intelligence,” what does optimizing truly mean when training models, and much much more.

About Blaise

Mentioned in the Interview

  • Presentation w/ slides: Social Intelligence
  • Paper: Optimization as a Model for Few-Shot Learning
  • Paper: The CMA Evolution Strategy: A Tutorial
  • The MNIST Database of Handwritten Digits
  • Book: Sapiens by Yuval Noah Harari
  • Book: Blueprint: The Evolutionary Origins of a Good Society by Nicholas A. Christakis
  • Book: The Human Swarm: How Our Societies Arise, Thrive, and Fall by Mark Moffett
  • Book: Conscience: The Origins of Moral Intuition by Patricia Churchland
  • Check it out

    “More On That Later” by Lee Rosevere licensed under CC By 4.0

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