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Why does AIMA argue we must move beyond the standard model of fixed objectives?
AReal-world objectives are hard to specify perfectly
BOptimisers are inherently unsafe to deploy
CSymbolic AI has been replaced by neural networks
DCompute costs make fixed objectives uneconomic
Answer & Solution
Correct answer: A. Real-world objectives are hard to specify perfectly
AIMA's argument: an artificial task (chess, shortest path) has a clean built-in objective, but real-world objectives resist full specification. As capability grows, a small mis-specification yields large negative consequences.
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