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Augmented Mind Podcast · January 21 · 17 min

Introducing The Augmented Mind: A Podcast for Technical Human-centered AI

Introducing The Augmented Mind Podcast (The AM Podcast). We explore techniques for building AI models that collaborate with people and augment human intelligence. In Episode 0, we share who we are, why we started this podcast, and what we're looking forward to. Outline: 0:00 - Prelude: the problems we care about 1:48 - Host introduction 2:03 - Why we started the AM Podcast 2:31 - Hot takes on human-centered AI 2:45 - Hot take #1: learning on outcome rewards over long horizons will directly solve human-agent collaboration 3:00 - The Bitter Lesson 3:53 - How to define rewards is a human problem 4:50 - Empathetic AI 5:48 - Hot take #2: even with an automation-vs-augmentation view, as AI gets stronger, there will be less for us to work on 6:09 - Creative Destruction 7:21 - Task vs. goal 10:45 - Format of our podcast 11:28 - Unique technical challenges in human-centered AI 11:43 - Example #1: human variation 13:58 - Example #2: revolution of annotation and data collection 15:10 - Example #3: making sense of noisy data 16:45 - Let the journey begin! External Clips Referenced: Eric Horvitz; 1:02:38 - 1:03:07 https://www.youtube.com/watch?v=ddjNTxtyEnw Fei-Fei Li ; 12:40 - 12:58 https://www.youtube.com/watch?v=be0gLzeBX5w Podcast Links: Podcast website: https://augmented-mind.github.io/ Apple Podcasts: https://podcasts.apple.com/us/podcast/augmented-mind-podcast/id1868102170 Spotify: https://open.spotify.com/show/40KculkYTe2tOpqJm6TAYr?si=PU_UncsMT4mXjVNCRwoXog RSS: https://anchor.fm/s/10dbf5b7c/podcast/rss About the Hosts: The AM Podcast is hosted by Yijia Shao, Shannon Shen, and Michael Ryan, CS PhD students at Stanford University and MIT.

0:00-17:22
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Introducing The Augmented Mind Podcast (The AM Podcast). We explore techniques for building AI models that collaborate with people and augment human intelligence. In Episode 0, we share who we are, why we started this podcast, and what we're looking forward to.


Outline:

  • 0:00 - Prelude: the problems we care about

  • 1:48 - Host introduction

  • 2:03 - Why we started the AM Podcast

  • 2:31 - Hot takes on human-centered AI

    • 2:45 - Hot take #1: learning on outcome rewards over long horizons will directly solve human-agent collaboration

      • 3:00 - The Bitter Lesson

      • 3:53 - How to define rewards is a human problem

      • 4:50 - Empathetic AI

    • 5:48 - Hot take #2: even with an automation-vs-augmentation view, as AI gets stronger, there will be less for us to work on

      • 6:09 - Creative Destruction

      • 7:21 - Task vs. goal

  • 10:45 - Format of our podcast

  • 11:28 - Unique technical challenges in human-centered AI

    • 11:43 - Example #1: human variation

    • 13:58 - Example #2: revolution of annotation and data collection

    • 15:10 - Example #3: making sense of noisy data

  • 16:45 - Let the journey begin!

External Clips Referenced:

Podcast Links:

  • Podcast website: https://augmented-mind.github.io/

  • Apple Podcasts: https://podcasts.apple.com/us/podcast/augmented-mind-podcast/id1868102170

  • Spotify: https://open.spotify.com/show/40KculkYTe2tOpqJm6TAYr?si=PU_UncsMT4mXjVNCRwoXog

  • RSS: https://anchor.fm/s/10dbf5b7c/podcast/rss

About the Hosts:

The AM Podcast is hosted by Yijia Shao, Shannon Shen, and Michael Ryan, CS PhD students at Stanford University and MIT.

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