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“Do confident short timelines make sense?” by TsviBT, abramdemski

LessWrong (Curated & Popular)

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Limitations and Potential of AI Learning

This chapter explores the limitations and advancements in reinforcement learning for language models, particularly highlighting the interaction between human feedback and data generation. It delves into the challenges faced by large language models in generalization, creativity, and achieving true intelligence, while also speculating on the future of artificial general intelligence. The discussion emphasizes the need for systematic approaches to address the nuanced risks and implications as AI technology continues to evolve.

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