Explainability, Reasoning, Priors and GPT-3
Machine Learning Street Talk (MLST)
Limitations of AI Reasoning
This chapter examines the constraints of GPT-3's reasoning, particularly in biological and social contexts, highlighting its failures and the ethical implications of AI's reliance on local context. It discusses the necessity of core knowledge for AI to engage in effective problem-solving and contrasts static and dynamic computation methods in terms of reasoning. Through various examples, it questions the nature of artificial intelligence's cognitive capabilities and the biases in understanding AI reasoning processes.
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