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0
2/10
Freeman argues that decision theory and resource-allocation frameworks are categorically different from deep learning and should not be dismissed by the 'Bitter Lesson' paradigm. He critiques the conflation of decision-theoretic methods with hand-crafted symbolic AI, noting that decision theory addresses 'what to do' under uncertainty, not pattern recognition.
decision-theory
bayesian-inference
deep-learning
ai-methodology
utility-functions
machine-learning
operations-research
resource-allocation
ai-philosophy
Rich Sutton
Guy Freeman
Claude
AlphaGo
LangChain
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