Scruff AI
22 lines
1.1 KiB
Plaintext
22 lines
1.1 KiB
Plaintext
================================================================
|
|
PASSIVE PREDICT-TEST — live 5561 coarse field
|
|
================================================================
|
|
frames used: 500 (cycles 86590 -> 91580, ~4990 cycles)
|
|
channels: ['rho', 'ux', 'uy', 'sxx', 'syy', 'sxy']
|
|
|
|
Per-step RMSE (z-scored field, lower = better predictor):
|
|
PERSISTENCE (next=current): 0.3738 <- baseline to beat
|
|
LINEAR (const-velocity extrap): 0.2945
|
|
RUNNING MEAN (dumb global): 1.0054
|
|
|
|
PRE-COMMITTED TEST: does LINEAR reliably beat PERSISTENCE?
|
|
improvement: +21.22% (need > +2.00%)
|
|
bootstrap 95% CI of (persist_err - linear_err): [+0.0757, +0.0828] (need lo > 0)
|
|
VERDICT: LINEAR BEATS PERSISTENCE — field carries short-horizon dynamics
|
|
|
|
READ: The field's next state is better predicted by its trajectory than by
|
|
assuming it stays still. That means the live fast field carries structured
|
|
short-horizon motion the 9 global scalars could not show. This is the FIRST
|
|
positive signal that the live organism has learnable dynamics. It is NOT yet
|
|
memory (that needs the poke/history test). It IS a green light to proceed.
|