> 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.”
> 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.
> Compression is not intelligence
Just saying this doesn't make it so.
It's widely accepted that compression and intelligence have a close relationship. I think this summary of Marcus Hutter's work provides some background: https://www.antoinebuteau.com/lessons-from-marcus-hutter/