What is Kolmogorov complexity in the context of AI?

Kolmogorov complexity is a measure of the computational resources needed to specify an object. In AI, it is used to quantify intelligence as the ability to compress complex data into its shortest possible description.

How does the Kolmogorov-Test evaluate model intelligence?

It evaluates how effectively a model can generate the shortest program to output a specific dataset. A better compression ratio (shorter program vs. raw data) indicates higher intelligence and understanding.

Is Kolmogorov complexity actually computable?

Pure Kolmogorov complexity is uncomputable due to the halting problem. However, this skill provides a practical approximation by using LLMs to perform program synthesis and discovery.

Can this skill help with software deobfuscation?

Yes. By treating deobfuscation as a compression problem, the skill helps synthesize the most minimal source code that matches the behavior of a complex or obfuscated binary.

Kolmogorov Compression Logic

Name: Kolmogorov Compression Logic
Author: plurigrid

byplurigrid

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数据科学与机器学习

Measures and optimizes information complexity using Kolmogorov-based program synthesis to evaluate intelligence and code efficiency.

The Kolmogorov Compression skill brings information-theoretic rigor to Claude's workflow by applying the principle that intelligence is equivalent to compression. By approximating Kolmogorov complexity—the length of the shortest program that produces a specific output—this skill allows developers to benchmark code elegance, validate data integrity, and filter noise from information signals. It is particularly useful for advanced tasks like deobfuscation, where the goal is to reduce complex binary structures into minimal source code, and for evaluating the 'intelligence score' of models based on their ability to identify deep structural patterns in data.

主要功能

018 GitHub stars

02Maps information density to theorem proving and formal logic complexity

03Approximates Kolmogorov complexity (K(x)) through LLM-driven program synthesis

04Calculates 'Intelligence Scores' based on data compression ratios

05Provides a validation framework for filtering signal from noise in complex datasets

06Integrates with binary analysis workflows for code simplification and deobfuscation

使用场景

01Quantifying code elegance and minimizing technical debt through structural reduction

02Simplifying obfuscated or complex binary logic into its shortest functional representation

03Benchmarking LLM reasoning capabilities using the KoLMogorov-Test metric

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi kolmogorov-compression

For use in Claude.ai and ChatGPT

Download Skill