The article discusses the limitations of AI models, particularly in situations where there is no historical data or precedent for a decision. It distinguishes between statistical uncertainty, where a model might be unsure due to conflicting data, and structural uncertainty, where a case is entirely novel and has no prior examples in the training data. The author argues that while statistical uncertainty can be addressed by collecting more data, structural uncertainty cannot be resolved by simply increasing model size or training data, as the decision itself has not yet been made. AI
IMPACT Highlights a fundamental limitation in current AI models regarding their ability to handle truly novel situations.
RANK_REASON The item is an opinion piece discussing the limitations of AI models.
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