YouTube's partnership with music labels to establish rules for AI-generated content, IBM's study on the impact of AI on the workforce, and two papers on language modeling and safety alignment. The episode also explores Reinforced Self-Training (ReST), a new reinforcement learning algorithm that improves the quality of large language models, and "Adapting Learned Sparse Retrieval for Long Documents," which proposes adaptations to improve the performance of Learned Sparse Retrieval (LSR) for long documents.
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Timestamps:
00:34 Introduction
01:50 YouTube is figuring out its AI strategy by working with music labels
03:26 40% of workers will have to reskill in the next three years due to AI, says IBM study
05:24 Jason Wei tweets
06:39 Fake sponsor
08:46 Reinforced Self-Training (ReST) for Language Modeling
10:13 Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
11:59 Adapting Learned Sparse Retrieval for Long Documents
14:10 Outro

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