This chapter explores the concepts of superalignment research, interpretability of model internals, scalable oversight of AI systems, and other research directions. It discusses OpenAI's research on a less powerful language model supervising a more powerful one, as well as skepticism and comments from AI researchers. The chapter also mentions OpenAI's research paper on AI safety and their announcement of research grants to address open questions in this field.
OpenAI's Superalignment team, launched this summer, has just published their first paper about weak-to-strong generalizations, and how they can analogize using weaker models to train more advanced models to simulate humans trying to control superhuman AI. Before that on the Brief, Intel's latest in the AI chip race.
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