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Keywords = Leibniz’s calculus ratiocinator

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6 pages, 226 KiB  
Proceeding Paper
How GPT Realizes Leibniz’s Dream and Passes the Turing Test without Being Conscious
by Gordana Dodig-Crnkovic
Comput. Sci. Math. Forum 2023, 8(1), 66; https://doi.org/10.3390/cmsf2023008066 - 11 Aug 2023
Cited by 4 | Viewed by 3627
Abstract
This article addresses the background and nature of the recent success of Large Language Models (LLMs), tracing the history of their fundamental concepts from Leibniz and his calculus ratiocinator to Turing’s computational models of learning, and ultimately to the current development of GPTs. [...] Read more.
This article addresses the background and nature of the recent success of Large Language Models (LLMs), tracing the history of their fundamental concepts from Leibniz and his calculus ratiocinator to Turing’s computational models of learning, and ultimately to the current development of GPTs. As Kahneman’s “System 1”-type processes, GPTs lack mechanisms that would render them conscious, but they nonetheless demonstrate a certain level of intelligence and the capacity to represent and process knowledge. This is achieved by processing vast corpora of human-created knowledge, which, for its initial production, required human consciousness, but can now be collected, compressed, and processed automatically. Full article
(This article belongs to the Proceedings of 2023 International Summit on the Study of Information)
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