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AI Testing Paradigms

François argues that achieving human-like AI is the final step in developing machine intelligence, emphasizing the importance of focusing on initial steps rather than the end goal. The discussion highlights the challenges of using human judges for AI testing and the potential of interactive scenarios to assess a system's adaptability and generalization abilities. The conversation also explores the complexities of measuring efficiency in reducing uncertainty within AI tasks.