GEAB 179
Mihai Nadin, Emeritus Ashbel Smith University Professor, University of Texas at Dallas. His career combines engineering, mathematics, digital technology, philosophy, semiotics, theory of mind, and anticipatory systems. He holds advanced degrees in Electrical Engineering and Computer Science and a post-doctoral degree in Philosophy, Logic, and the Theory of Science. His forthcoming book is Disrupt Science: The Future Matters (Springer, December 12, 2023).
In this article he puts into perspective the spectacular accomplishments of AI models and the resources consumption needed to achieve them. Which leads him to formulate the following definition: Artificial entities could justifiably claim intelligence if, in executing a task, they would use as much energy or less, and as much data or less, than a living entity performing the same task. Login
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