Challenges in AI Learning

This chapter addresses the limitations of large language models (LLMs) in achieving economic transformation through continual learning. The speaker argues for the necessity of models that replicate human learning capabilities and predicts major advancements once these challenges are met. The discussion also covers the differences between theoretical understanding and practical experience in skill acquisition, emphasizing the need for context and structured feedback in AI training.