On the other hand, the Kludge AI would not (yet) have general intelligence, because it wouldn’t necessarily have the capacity to solve somewhat-arbitrary problems in somewhat-arbitrary environments, wouldn’t necessarily be able to transfer learning in one domain to another, and so on.
Operational definitions of AGI
Can we be more specific? This idea of general intelligence is difficult to operationalize. Below I consider four operational definitions for AGI, in (apparent) increasing order of difficulty.
The Turing test ($100,000 Loebner prize interpretation)
One specific interpretation is provided by the conditions for winning the $100,000 Loebner Prize. Since 1990, Hugh Loebner has offered $100,000 to the first AI program to pass this test at the annual Loebner Prize competition. Smaller prizes are given to the best-performing AI program each year, but no program has performed well enough to win the $100,000 prize.
The exact conditions for winning the $100,000 prize will not be defined until a program wins the $25,000 “silver” prize, which has not yet been done. However, we do know the conditions will look something like this: A program will win the $100,000 if it can fool half the judges into thinking it is human while interacting with them in a freeform conversation for 30 minutes and interpreting audio-visual input.