
AI Research for Self-Shaping Systems
/ˌôdōˈmôrfik ˈsɪstəmz/
noun
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
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.
Fixed models
Siloed disciplines
Hand-tuned parameters
Scale without structure
Emergence calculus
Cross-scale theory
Autonomous adaptation
Self-shaping architectures
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
One stream for paper landing pages and reference material across the Six Birds program.
Life-focused instantiation of the emergence calculus: audit-first null calibration, separable drive, and two substrates (particle + neural).
Math-only framework for emergence: lenses, packaging rules, and audits of stability, novelty, and directionality across scales.
A cross-disciplinary terminology index that maps alternative names back to the canonical P1-P6 primitives.
Coming Soon
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A US-based AI research lab pioneering the science of emergence.