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26min chapter
#170 - new Sora rival, OpenAI robotics, understanding GPT4, AGI by 2027?
Last Week in AI
Exploring Research on Autoencoders and Concept Extraction from GPT-4
The chapter delves into an OpenAI research piece comparing sparse autoencoders and concept extraction methods in GPT-4 to a previous study by Unthropic. It discusses the use of sparse autoencoders to extract meaningful features, human imperfection-related features, and the challenges in measuring the effectiveness of autoencoders. Further, it highlights papers on enhancing AI model alignment and robustness, preventing harmful behaviors through short circuiting, and training techniques to make models refuse harmful actions while retaining positive skills.
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