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  1. GPT-3: Its Nature, Scope, Limits, and Consequences.Luciano Floridi & Massimo Chiriatti - 2020 - Minds and Machines 30 (4):681-694.
    In this commentary, we discuss the nature of reversible and irreversible questions, that is, questions that may enable one to identify the nature of the source of their answers. We then introduce GPT-3, a third-generation, autoregressive language model that uses deep learning to produce human-like texts, and use the previous distinction to analyse it. We expand the analysis to present three tests based on mathematical, semantic, and ethical questions and show that GPT-3 is not designed to pass any of them. (...)
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