[yepyoukno]

> algorithmic information theory, arguing that general intelligence is mathematically equivalent to data compression and sequence prediction

Then let it be said “algorithmic intelligence” for true “general” intelligence is not constrained by sequence or brevity. There is indirection, substitution, and other variabilities to the chaotic circumstances of real world (“general”) problem solving. All forms of intelligence relate to the reduction of uncertainty. Compression sounds like “shortest path” and sequence sounds like constrained conditions, neither are “general.”

[nl]

> variabilities to the chaotic circumstances of real world (“general”) problem solving. All forms of intelligence relate to the reduction of uncertainty.

Lossy compression is a form of generalization which handles this exact thing.

[yepyoukno]

Lossy compression down samples a preexisting pattern. It does not derive the pattern. How is deduction and lossy compression the same thing?