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Navigating AI Learning and Predictions
This chapter explores the complexities of AI learning, particularly 'in-context learning' and its connection to Bayesian principles. It engages in a critical discussion about the predictive capabilities of AI and the discrepancies in timelines for achieving Artificial General Intelligence (AGI). Through dialogues and social media reflections, the chapter challenges conventional narratives while dissecting the evolving perceptions of AI-generated art and its implications for creativity.