| Title |
Comment on Cárdenas-García, J.F. Info-autopoiesis and the limits of artificial general intelligence. Computers 2023, 12, 102 / |
| Authors |
Damaševičius, Robertas |
| DOI |
10.3390/computers13070178 |
| Full Text |
|
| Is Part of |
Computers.. Basel : MDPI. 2024, vol. 13, iss. 7, art. no. 178, p. 1-5.. ISSN 2073-431X |
| Abstract [eng] |
1. Introduction. In the article by Jaime F. Cárdenas-García [1], the background establishes a need to re-evaluate the ambitious projections about artificial intelligence (AI), particularly artificial general intelligence (AGI), given the current technological limitations and societal implications. The author’s aim is to introduce “info-autopoiesis” as a novel framework to better understand and predict the development limits of AI and AGI. This concept is explored as a self-referential, recursive process essential for generating and managing information, positioned as fundamental to both human and artificial cognition. The relevance of this work to the current state of the art in AI research lies in its critique of overoptimistic AI predictions and its potential to ground future AI developments in a more empirically supported framework, thus aligning technological advancements with a deeper understanding of human intelligence mechanisms. This could foster more realistic expectations and responsible development in AI fields. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
