  With machine learning successfully applied to new daunting problems almost
every day, general AI starts looking like an attainable goal. However, most
current research focuses instead on important but narrow applications, such as
image classification or machine translation. We believe this to be largely due
to the lack of objective ways to measure progress towards broad machine
intelligence. In order to fill this gap, we propose here a set of concrete
desiderata for general AI, together with a platform to test machines on how
well they satisfy such desiderata, while keeping all further complexities to a
minimum.
