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Challenges and Advancements in Data Science
The chapter addresses challenges introduced by a US government executive order on model testing impacting startups and data science diversity, emphasizing the need for tech industry regulation. It also explores AI advancements like GPT models, predicts future data science trends, discusses Q* in deep reinforcement learning, and hints at potential alternative approaches for AI development. The conversation touches on using niche data for model training, the importance of reinforcement learning in model improvement, and the role of Q* in advancing towards artificial general intelligence.