First of all, Matt's comments apply more to natural language text than they
do even to, say, to image compression.  The vast majority of images are, in
some sense, related to the physical world and while many would claim
physics is just a bunch of incomprehensible tricks to compress experimental
data along with the details of the measurement apparatus, most folks who
trust their lives to technology derived from physics are, at least
implicitly, admitting there may be something to compressed representations
beyond a random jumble of tricks.  This is otherwise known as "The
Unreasonable Effectiveness of Mathematics in the Natural Sciences".

Secondly, epistemology and human psychology are really in their infancy, so
their manifestation in natural language theory may leave something to be
desired -- particularly if limited to Hutter Prize entries which has
received funding amounting to about zero compared to the relevant fields.

Finally, all of so-called "data-driven public policy" is based on the
presumption that losslessly compressing a wide range of longitudinal social
measures results in meaningful insights into social causality regarding
salient outcomes.  Moreover, the failure of social science to produce
public policy that serves the touted salient outcomes is hardly the fault
of those of us who have been pushing to discipline the field with lossless
compression.  Quite the opposite in fact.  It is those who claim that there
is no point to applying Ockham's Razor to the social sciences who are to
blame for the looming bloodshed.

On Sat, Nov 16, 2019 at 8:16 PM <immortal.discover...@gmail.com> wrote:

> But the compression prize is meant to make new discoveries, to teach the
> others in the public. If no one can find a new technique (that works on
> other datasets), nor can explain them to the public, why is the contest
> still such a big thing towards AGI?? Is it making any more point? Is it
> explaining it to the public?
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