S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world (Host: Pieter Abbeel)

What's in this episode:
00:00:00 - Chelsea
00:01:40 - sponsors: Index Ventures, Weights and Biases
00:02:51 - what can AI not (yet) do today? (Spoiler Alert: Distribution Shift)
00:05:55 - handling spurious features
00:07:55 - targeted LLM editing
00:12:30 - LLMs that read the news
00:13:46 - tackling distribution shift in robotics
00:20:35 - when is generalization beyond the training distribution possible
00:23:50 - single life reinforcement learning (RL)
00:27:10 - rewards in RL
00:34:37 - should we just be training our RL agents longer
00:37:45 - robotics data-sets, data collection at home
00:40:55 - meta-learning, MAML
00:50:12 - what will happen in the next 5-10 years in AI
00:52:20 - Chelsea’s growing up and career trajectory
00:58:01 - productivity, working exciting things, swimming, sleep
01:01:27 - what looking for in students
01:04:01 - advice for high school students

Guest Links:
https://ai.stanford.edu/~cbfinn/

Sponsor Links:
https://www.indexventures.com/
https://wandb.ai/site

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Host: Pieter Abbeel
Production: Bo Obradovic