A New Test to Measure Understanding in AI Models
On this episode of Mind Matters News, host Robert J. Marks continues his conversation with Dr. Georgios Mappouras about his new and interesting paper “Turing Test 2.0: The General Intelligence Threshold.” The idea is whether or not AI is intelligent, and the classical definitions of this come from the Turing Test. In Part 1 of this conversation, Dr. Mappouras explained why the Turing Test is probably insufficient. Here, he delves into a new method called the Turing Test 2.0 for Measuring Intelligence. Specifically, the new test is set up to determine the ability of large language models to truly understand and apply new knowledge rather than just match patterns. Mappouras argues that this type of test is crucial for assessing whether an AI system has achieved genuine general intelligence, rather than just specialized capabilities. This is Part 2 of a three-part conversation.
Additional Resources
- Listen to part 1 of this conversation: Turing Test 2.0: A Better Way to Test Machine Intelligence?
- Georgios Mappouras: “Turing Test 2.0: The General Intelligence Threshold”
- Robert J. Marks: “Is AI Truly Creative? Here Is the Ultimate Test”
- Alan Turing: “Computing Machinery and Intelligence”
- François Chollet: “On the Measure of Intelligence”
- Handbook of Fourier Analysis & Its Applications by Robert J. Marks