Neuron
ded6ca546f
El SDK CI - dev / build-and-test (pull_request) Failing after 13m24s
engram_think_json passed NULL as the anchor. NULL is not "no opinion":
engram_think re-origins at `anchor ? anchor : region->centroid`, so NULL
means "read from the centroid" — and the centroid is the one point where
the gradient is zero by construction. r = x - centroid = 0, so every axis
projection is 0, grad is 0, and direction takes the "at rest" branch at
engram_cognition.c:137.
Measured consequence: EVERY faculty returned an identical null result,
differing only in its label —
{"direction":[0,0,0,0,0,0,0,0],"spread":0,"magnitude":1,"confidence":0.5}
magnitude 1 is membership evaluated at the centroid, spread 0 is its
distance to itself, confidence 0.5 is the stance fallback. The geometry was
never at fault: /api/drift computes real values (centroid_sep 0.104,
core_disp 0.045) over the very same 87 members. Neuron could not think
because the read was always taken from the region's own centre.
The seeds choose WHICH region; they must also supply the VANTAGE. Anchor at
the first resolvable embedded seed — the same seed eg_geo_build_desc infers
dim from, so the two can never disagree. One seed still yields a real
gradient because the descriptor expands to that seed's neighbourhood, so
the seed's position is distinct from the neighbourhood centroid.
The vector is COPIED, never borrowed: g->nodes is realloc'd in place on
append, so a borrowed EngramNode* dangles across any concurrent write.
Verified against a clone of the production store (13,616 nodes / 37,865
edges):
self anchor n_support 87 magnitude 0.00282 spread 18.79
values hub n_support 28 magnitude 0.00318 spread 17.72
with distinct unit direction vectors. Previously both returned the zero
vector with magnitude 1 and spread 0.
STILL OPEN, now isolated by this fix: all five faculties return identical
numbers and confidence stays 0.5, because cog_stance_init is passed NULL
for the stance and the faculty enters the computation only through the
stance's axis_gain[] and bias_dir. The faculty label is inert until a
stance is loaded — which is what learn()'s correspondence-beat calibrates.
Same shape as this bug: a neutral parameter collapsing a capability to a
constant.