CZM Rewind: The Academics That Think ChatGPT Is BS
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AI vs Human Language Learning
This chapter explores the differences between human language acquisition and the training of AI language models, emphasizing the limitations of the latter. The speakers critique the use of the term 'hallucination' for AI errors, arguing that it misrepresents the nature of AI's output generation. They discuss consciousness and the inadequacies of the Turing test, questioning the assumptions surrounding AI's capabilities and the potential dangers of misinterpretation in public discourse.
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