Period: 2026-02-18. Substrate: Discrete grid world with evolved GRU agents (~3400 params each).
The Necessity Chain: Membrane → free energy gradient → world model → self-model → affect geometry. Each step necessary, not contingent.
Why leave Lenia: showed the wall is about agency, not signal routing. GRU agents on a discrete grid have bounded local sensory fields (5x5), genuine motor actions (move, consume, emit), and observations shaped by their own actions.
Metric
Seed 42
Seed 123
Seed 7
ρsync (max)
0.230
0.232
0.212
Cwm (final)
0.122
0.126
0.152
SMsal (final)
1.22
0.94
1.50
RSA (final)
-0.017
-0.005
0.031
Wall broken (3/3 seeds).ρsync=0.21 from cycle 0. The wall is architectural — action-observation loops are present from initialization. 70x Lenia's 0.003. Self-model emergent in 2/3 seeds (SMsal>1.0).
Source code
Study record — canonical metadata, result path, status, seeds, and key finding.