Gregory John Chaitin is an Argentine-American mathematician and computer scientist. Beginning in the late 1960s, Chaitin made contributions to algorithmic information theory and metamathematics, in particular a computer-theoretic result equivalent to Gödel's incompleteness theorem. He is considered to be one of the founders of what is today known as algorithmic complexity together with Andrei Kolmogorov and Ray Solomonoff. Along with the works of e.g. Solomonoff, Kolmogorov, Martin-Löf, and Leonid Levin, algorithmic information theory became a foundational part of theoretical computer science, information theory, and mathematical logic. It is a common subject in several computer science curricula. Besides computer scientists, Chaitin's work draws attention of many philosophers and mathematicians to fundamental problems in mathematical creativity and digital philosophy.
What exactly makes something “alive”? This ambitious paper tries to answer that eternal question by bringing the precision of math into biology’s messy world. Drawing inspiration from computer science concepts like data compression and randomness, Chaitin cooks up formulas to measure the “organized complexity” of simple shapes. The goal is to lay the groundwork for mathematically probing the origins of life itself, perhaps even tracing how order emerges from primordial chaos. It’s a first step towards digitizing the mysteries of evolution.