Why Abiogenesis Experiments Produce Building Blocks But Not Codes: An Effective Dimensionality Threshold
What's this about?
Seventy years of abiogenesis research have produced amino acids, nucleotides, lipid vesicles, and ribozymes — but no codes. Why?
Mathematical foundation: The Fisher rank increase under coupling is proven rigorously in Manifold Expansion via Coupling, which provides the formal basis for why D_eff > 1 enables code emergence.
Code emergence requires sufficient effective dimensionality (D_eff) — not merely many chemical species, but species whose dynamics span orthogonal information channels. We demonstrate a threshold at D_eff > 1: collapsed dynamics achieve >80% accuracy in only 35% of cases, while diverse dynamics achieve it in 71%.
The mechanism is substrate competition: competitive binding for shared resources discretizes continuous chemical gradients into stable boundary codes. Crucially, graded competition works as well as cooperative binding — what matters is competitive allocation, not winner-take-most amplification.
The formose reaction, with autocatalytic structure creating divergent dynamics, may approach code-emergence conditions.
Key findings
- •
D_eff > 1 threshold predicts code quality better than species count
- •
Substrate competition discretizes continuous gradients into stable codes
- •
Graded competition (h=1) works as well as cooperative binding (h≥2)
- •
Formose reaction may approach code-emergence conditions
Citation
Todd, I. (2026). Why Abiogenesis Experiments Produce Building Blocks But Not Codes: An Effective Dimensionality Threshold. Discover Life (submitted).
Workflow: Claude Code with Opus 4.5 (Anthropic) for drafting and simulation code. Author reviewed all content and takes full responsibility.