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108. Last Week In AI — 2021: The (full) year in review
Publisher |
The TDS team
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Jan 05, 2022
Episode Duration |
00:50:21

2021 has been a wild ride in many ways, but its wildest features might actually be AI-related. We’ve seen major advances in everything from language modeling to multi-modal learning, open-ended learning and even AI alignment.

So, we thought, what better way to take stock of the big AI-related milestones we’ve reached in 2021 than a cross-over episode with our friends over at the Last Week In AI podcast.

***

Intro music:

- Artist: Ron Gelinas

- Track Title: Daybreak Chill Blend (original mix)

- Link to Track: https://youtu.be/d8Y2sKIgFWc

***

Chapters:

  • 0:00 Intro
  • 2:15 Rise of multi-modal models
  • 7:40 Growth of hardware and compute
  • 13:20 Reinforcement learning
  • 20:45 Open-ended learning
  • 26:15 Power seeking paper
  • 32:30 Safety and assumptions
  • 35:20 Intrinsic vs. extrinsic motivation
  • 42:00 Mapping natural language
  • 46:20 Timnit Gebru’s research institute
  • 49:20 Wrap-up

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