  A topical challenge for algorithms in general and for automatic image
categorization and generation in particular is presented in the form of a
drawing for AI to understand. In a second vein, AI is challenged to produce
something similar from verbal description. The aim of the paper is to highlight
strengths and deficiencies of current Artificial Intelligence approaches while
coarsely sketching a way forward. A general lack of encompassing
symbol-embedding and (not only) -grounding in some bodily basis is made
responsible for current deficiencies. A concomitant dearth of hierarchical
organization of concepts follows suite. As a remedy for these shortcomings, it
is proposed to take a wide step back and to newly incorporate aspects of
cybernetics and analog control processes. It is claimed that a promising
overarching perspective is provided by the Ouroboros Model with a valid and
versatile algorithmic backbone for general cognition at all accessible levels
of abstraction and capabilities. Reality, rules, truth, and Free Will are all
useful abstractions according to the Ouroboros Model. Logic deduction as well
as intuitive guesses are claimed as produced on the basis of one
compartmentalized memory for schemata and a pattern-matching, i.e., monitoring
process termed consumption analysis. The latter directs attention on short
(attention proper) and also on long times scales (emotional biases). In this
cybernetic approach, discrepancies between expectations and actual activations
(e.g., sensory precepts) drive the general process of cognition and at the same
time steer the storage of new and adapted memory entries. Dedicated structures
in the human brain work in concert according to this scheme.
