Article Dans Une Revue Minds and Machines Année : 2024

Imitation and Large Language Models

Résumé

The concept of imitation is both ubiquitous and curiously under-analysed in theoretical discussions about the cognitive powers and capacities of machines, and in particular – for what is the focus of this paper – the cognitive capaci- ties of large language models (LLMs). The question whether LLMs understand what they say and what is said to them, for instance, is a disputed one, and it is striking to see this concept of imitation being mobilised here for sometimes con- tradictory purposes. After illustrating and discussing how this concept is being used in various ways in the context of conversational systems, I draw a sketch of the different associations that the term ‘imitation’ conveys and distinguish two main senses of the notion. The first one is what I call the ‘imitative behaviour’ and the second is what I call the ‘status of imitation’. I then highlight and untangle some conceptual difficulties with these two senses and conclude that neither of these applies to LLMs. Finally, I introduce an appropriate description that I call ‘imitation manufacturing’. All this ultimately helps me to explore a radical negative answer to the question of machine understanding.

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hal-04921689 , version 1 (30-01-2025)

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Éloïse Boisseau. Imitation and Large Language Models. Minds and Machines, 2024, 34 (4), pp.42. ⟨10.1007/s11023-024-09698-6⟩. ⟨hal-04921689⟩
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