Article
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The Limits of Artificial General Intelligence
Version 1
: Received: 11 April 2023 / Approved: 12 April 2023 / Online: 12 April 2023 (08:10:52 CEST)
A peer-reviewed article of this Preprint also exists.
Cárdenas-García, J.F. Info-Autopoiesis and the Limits of Artificial General Intelligence. Computers 2023, 12, 102. Cárdenas-García, J.F. Info-Autopoiesis and the Limits of Artificial General Intelligence. Computers 2023, 12, 102.
Abstract
Recent developments, begun by the ascending spiral of the anticipated endless prospects of ChatGPT, promote artificial intelligence (AI) as an indispensable tool and commodity whose time has come. Yet the sinister specter of a technology that has hidden and unmanageable attributes that might be harmful to society looms in the background. As well as the likelihood that it will never deliver on the purported promise of artificial general intelligence (AGI). Currently the prospects for the development of AI and AGI are more a matter of opinion than based on a consistent methodological approach. Thus the need to take a step back to develop a general framework from which to evaluate current AI efforts, which also permits the determination of the limits to its future prospects as AGI. To gain insight into the development of a general framework, a key question that needs resolution is, what is the connection between human intelligence and machine intelligence? This is the question that needs a response because humans are at the center of AI creation and realize that without an understanding of how we become what we become, we have no chance of finding a solution. This work proposes infoautopoiesis, the self-referential, recursive and interactive process of self-production of information, as the needed general framework. Infoautopoiesis shows how the key ingredient of information is fundamental to an insightful resolution to this crucial question and allows predictions as to the present and future of AGI.
Keywords
Claude Shannon; Gregory Bateson; communication; information; infoautopoiesis; semantic; syntactic
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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