"As simple as possible but no simpler" (I believe Einstein's paraphrase of
Occam's Razor), means not so simple that the theory disagrees with
observation.

Occam's Razor is true because any possible probability distribution over a
set of strings (descriptions, theories, programs) must favor shorter ones
than longer. For any string, the set of less likely strings is infinite,
but only a finite subset of them could be shorter.

Remember that the goal of AGI is to do everything that a human can do (with
the obvious application of automating labor). Machine learning is a big
part of that, and Occam's Razor is an important guiding principle. But
ultimately it comes down to experimentation when deciding which
languages to use to encode strings.

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Artificial General Intelligence List: AGI
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