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Compression is not intelligence. While intelligence and compression both may have similar goals (to optimize paths of information), intelligence negotiates pro

Compression is not intelligence. While intelligence and compression both may have similar goals (to optimize paths of information), intelligence negotiates probability (allowing multiple divergent outcomes) while compression requires an idempotent symbolic translation.

nl 3mo ago
> intelligence negotiates probability (allowing multiple divergent outcomes) while compression requires an idempotent symbolic translation. What does this mean? Lossy, non-deterministic compression is a thing. Does that meet the "allowing multiple divergent outcomes" criteria?
- yepyoukno 3mo ago
  No, while you loose some details, there is only one direction of determination. Compression is not intelligence!
  - nl 3mo ago
    You are going to need to explain yourself in more details. > 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/ https://www.antoinebuteau.com/lessons-from-marcus-hutter/
    - yepyoukno 3mo ago
      > 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 3mo ago
        > 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 3mo ago
        Lossy compression down samples a preexisting pattern. It does not derive the pattern. How is deduction and lossy compression the same thing?

nl 3mo ago

> intelligence negotiates probability (allowing multiple divergent outcomes) while compression requires an idempotent symbolic translation. What does this mean? Lossy, non-deterministic compression is a thing. Does that meet the "allowing multiple divergent outcomes" criteria?

yepyoukno 3mo ago
No, while you loose some details, there is only one direction of determination. Compression is not intelligence!
- nl 3mo ago
  You are going to need to explain yourself in more details. > 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/ https://www.antoinebuteau.com/lessons-from-marcus-hutter/
  - yepyoukno 3mo ago
    > 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 3mo ago
      > 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 3mo ago
        Lossy compression down samples a preexisting pattern. It does not derive the pattern. How is deduction and lossy compression the same thing?