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AUTOMORPH

AI Research for Self-Shaping Systems

au·to·mor·phic sys·tems

/ˌôdōˈmôrfik ˈsɪstəmz/

noun

Systems that possess the ability to autonomously reorganize, modify, and evolve their own structure and behavior in response to changing requirements, environmental conditions, or optimization goals.

Etymology

From Greek autos (self) + morphē (form, shape) + -ic, literally "self-shaping"

First known use

2024, in the context of AI research on emergence and self-organizing systems

The Vision

Imagine systems that don't just compute—they transform.

Structures that don't merely respond—they anticipate.

Models that don't just predict—they evolve.

This is the science of automorphic systems.

The Research Frontier

What Was

Fixed models

Siloed disciplines

Hand-tuned parameters

Scale without structure

What Will Be

Emergence calculus

Cross-scale theory

Autonomous adaptation

Self-shaping architectures

What Awaits

Formalizing how structure emerges from noise

Unifying the mathematics of adaptation across scales

Building the theory that lets systems shape themselves

The future doesn't wait to be built.
It builds itself.

Blog

Preprints & References

One stream for paper landing pages and reference material across the Six Birds program.

Preprint · v1 2026

To Wake a Stone with Six Birds: A Life is A Theory

Life-focused instantiation of the emergence calculus: audit-first null calibration, separable drive, and two substrates (particle + neural).

DOI 10.5281/zenodo.18394536Zenodo DOI
Preprint · v1 2026

Six Birds: Foundations of Emergence Calculus

Math-only framework for emergence: lenses, packaging rules, and audits of stability, novelty, and directionality across scales.

DOI 10.5281/zenodo.18365949Open access · CC BY 4.0
Reference Feb 8, 2026

Six Birds (P1-P6) Alias Index

A cross-disciplinary terminology index that maps alternative names back to the canonical P1-P6 primitives.

Terminology crosswalk

Enter the Loop

Coming Soon

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A US-based AI research lab pioneering the science of emergence.