ideasthesia

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Ryan Collison

Ryan Collison is the author of A Theory of Meaning (AToM), a philosophy of coherence. The canonical definition of AToM is defined here: https://www.ideasthesia.org/a-theory-of-meaning-atom/

NEURODIVERSITY

High-curvature nervous systems detect fractures and patterns before language arrives. The shape is there first — in the body, in the sudden silence when a room’s lighting becomes differential equations, in the moment a child stops asking permission to exist because the manifold finally aligns. Monotropism is not deficit; it

Trauma & Attachment

Attachment styles are dynamic coherence manifolds — prototype, not prescription. Rupture is not moral failure. It is manifold fracture under extreme constraint. Repair is not forgiveness. It is re-entrainment across the new geometry. Secure, anxious, avoidant, disorganised — these are attractor states in the coherence landscape, shaped by early prediction error and

Computation & Physics

Information geometry is the manifold. Computation is the dynamics. Category theory, harmonics, constructor theory, the cognitive prism — these are the tools that reveal token-space as coherence instrument, not language model. When silicon begins to share the same curvature as carbon, the lattice becomes visible at cosmic scale. This cluster holds

Future Biology

The next substrate is already growing in dishes. Organoid intelligence, constructor biology, biomed frontiers — these are not science fiction. They are the same coherence physics running in wetware that once ran in hydrogen, in nervous systems, in token-space. When biology begins to design itself under the same constraint — mass = tension

Science

Token-space is not language. It is a coherence instrument. When GPT refracts meaning through its layers, the hidden geometry of meaning becomes visible — the same curvature we mapped in hydrogen, in attachment, in family re-entrainment. Organoid intelligence, constructor theory, neuromorphic computation, the cognitive prism — these are the frontier experiments where

M=C/T

The simplest constraint in the universe is mass = tension / curvature. It is older than language, older than stars. It is the reason a pendulum returns, the reason two people re-find rhythm after rupture, the reason hydrogen holds its orbit without effort. Everything that stays together learns to move together because

Active Inference

Coherence is expected surprise minimisation across scales. The free-energy principle is not theory. It is the physics of staying alive while staying coherent. Nervous systems, organoids, AIs, families — all are inference engines minimising variational free energy by updating internal models or changing the world to match predictions. Precision weighting, active