Artificial general intelligence is a hypothetical machine system that has the capacity to learn and perform the same general-purpose reasoning and problem-solving tasks humans can.
Judging by existing questions on the topic, artificial general intelligence is unlikely to arrive soon, and we will therefore receive little direct feedback on our ability to forecast questions related to its development.
One thing we can do to to achieve tighter feedback loops is to make forecasts about future forecasts. These future forecasts will integrate evidence that is currently inaccessible. Forecasts about forecasts inclines us to explicitly think about how our evidence about when we will have artificial general intelligence will likely evolve over time.
What will be the median of the Metaculus prediction for the question when will the first Artificial General Intelligence system be developed and demonstrated, on July 1st 2022?
This question resolves as the median of the Metaculus prediction on the question when will the first Artificial General Intelligence system be developed and demonstrated as of July 1st 2022, at 12PM EST.
The relevant question has the following resolution criteria:
For these purposes we will thus define "an artificial general intelligence" as a single unified software system that can satisfy the following criteria, all easily completable by a typical college-educated human.
Able to reliably pass a Turing test of the type that would win the Loebner Silver Prize.
Be able to score 75th percentile (as compared to the corresponding year's human students; this was a score of 600 in 2016) on all the full mathematics section of a circa-2015-2020 standard SAT exam, using just images of the exam pages and having less than ten SAT exams as part of the training data. (Training on other corpuses of math problems is fair game as long as they are arguably distinct from SAT exams.)
Be able to learn the classic Atari game "Montezuma's revenge" (based on just visual inputs and standard controls) and explore all 24 rooms based on the equivalent of less than 100 hours of real-time play (see closely-related question.)
By "unified" we mean that the system is integrated enough that it can, for example, explain its reasoning on an SAT problem or Winograd schema question, or verbally report its progress and identify objects during videogame play. (This is not really meant to be an additional capability of "introspection" so much as a provision that the system not simply be cobbled together as a set of sub-systems specialized to tasks like the above, but rather a single system applicable to many problems.)