Noam Chomsky
In plain wordsAn American linguist whose theories of grammar reshaped linguistics and cognitive science, and who argues that chatbots like ChatGPT imitate language without understanding it.
American linguist whose generative grammar remade the study of language and helped launch cognitive sciencecognitive science, n.: The scientific study of how minds work — how we reason, use language, remember and see — combining psychology, neuroscience, linguistics, philosophy, anthropology and artificial intelligence., and a leading critic of statistical approaches to language; he spent most of his career at MIT (Institute Professor emeritus since 2002) and later also taught at the University of Arizona. 'Syntactic Structures' (1957) proposed generative grammar, describing a language by explicit rules that generate all and only its sentences; his hierarchy of grammars (1956) by expressive power became a foundation of formal-language theory and programming-language design. His 1959 review of B. F. Skinner's 'Verbal Behavior' attacked behaviorismbehaviorism, n.: The view that the mind should be studied, or even defined, only through observable behavior rather than inner thoughts or feelings. It shapes debates about whether AI that acts intelligently really is intelligent., and he went on to argue that children's rapid language learning from limited data implies innate, universal grammatical knowledge (the argument from the poverty of the stimulus). He long dismissed probabilistic models of sentences, prompting a 2011 rebuttal from Peter NorvigPeter Norvig, prop. n.: An American computer scientist who co-wrote the standard AI textbook, led research at Google, and helped show that simple methods trained on huge amounts of data often beat clever hand-built ones., and in a 2023 New York Times essay with Ian Roberts and Jeffrey Watumull he argued that systems such as ChatGPTChatGPT, prop. n.: OpenAI's AI chatbot, released free to the public in November 2022, which answers questions, writes and converses in everyday language. Its sudden popularity began the current AI boom. are statistical pattern-matchers incapable of explanation or genuine understanding (see machine understandingmachine understanding, n.: Whether, and in what sense, an AI system grasps what words, situations or problems mean — rather than just producing answers that look as though it does.). He is also a prominent political commentator.
Related
- cognitive sciencecognitive science, n.: The scientific study of how minds work — how we reason, use language, remember and see — combining psychology, neuroscience, linguistics, philosophy, anthropology and artificial intelligence.
- behaviorismbehaviorism, n.: The view that the mind should be studied, or even defined, only through observable behavior rather than inner thoughts or feelings. It shapes debates about whether AI that acts intelligently really is intelligent.
- machine understandingmachine understanding, n.: Whether, and in what sense, an AI system grasps what words, situations or problems mean — rather than just producing answers that look as though it does.
- stochastic parrotstochastic parrot, n.: A critical label for AI language systems, likening them to parrots that echo patterns in the text they were trained on, fluently but with no grasp of what the words mean.
- language modellanguage model, n.: A system that has learned how likely different sequences of words are, so it can predict the next word in a text and, by doing that repeatedly, write text of its own.
- Peter NorvigPeter Norvig, prop. n.: An American computer scientist who co-wrote the standard AI textbook, led research at Google, and helped show that simple methods trained on huge amounts of data often beat clever hand-built ones.
Sources
- Chomsky, N. (1957). Syntactic Structures. Mouton.
- Chomsky, N., Roberts, I. & Watumull, J. (2023). The False Promise of ChatGPT. The New York Times, 8 March 2023.