Measuring Intelligence
Intelligence is defined as skill acquisition efficiency, emphasizing the distinction between skill and intelligence. A benchmark for measuring intelligence must account for prior knowledge and experience, focusing on how efficiently a system can learn new skills. The concept of meta learning is explored, raising questions about whether humans inherently possess this ability or acquire it through experience, and how this should apply to AI systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Pattern Recognition vs True Intelligence - Francois Chollet
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