Compression, The Fermi Paradox and Artificial Super-Intelligence
  The following briefly discusses possible difficulties in communication with
and control of an AGI (artificial general intelligence), building upon an
explanation of The Fermi Paradox and preceding work on symbol emergence and
artificial general intelligence. The latter suggests that to infer what someone
means, an agent constructs a rationale for the observed behaviour of others.
Communication then requires two agents labour under similar compulsions and
have similar experiences (construct similar solutions to similar tasks). Any
non-human intelligence may construct solutions such that any rationale for
their behaviour (and thus the meaning of their signals) is outside the scope of
what a human is inclined to notice or comprehend. Further, the more compressed
a signal, the closer it will appear to random noise. Another intelligence may
possess the ability to compress information to the extent that, to us, their
signals would appear indistinguishable from noise (an explanation for The Fermi
Paradox). To facilitate predictive accuracy an AGI would tend to more
compressed representations of the world, making any rationale for their
behaviour more difficult to comprehend for the same reason. Communication with
and control of an AGI may subsequently necessitate not only human-like
compulsions and experiences, but imposed cognitive impairment.
