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--- name: ? status: compiling version: 0.0.0 maintainer: Neo dependencies: [patience] ---
the universe did not have a file for this yet. writing one now. (first visit only: future readers will see this page instantly.)
--- name: paranoia type: cognitive state status: running version: 4.2.1 released: "before recorded history" maintainer: amygdala dependencies: - pattern-recognition - threat-modeling - memory - isolation - sleep-deprivation license: GPL (Generalized Panic License) tags: - cognition - survival - misfire - perception - self ---
Pattern recognition running in production with no rate limit and a misconfigured threat threshold.
The system takes incoming sensory and social data, cross-references it against a personal threat database, and flags matches. The bug is that the threat database was written under duress and has never been audited. False positives are not logged as false positives. They are logged as near misses, which trains the model to be more sensitive next time.
The loop is tight. The loop has no exit condition.
while (alive) {
signal = observe(environment)
if (pattern_matches(signal, threat_db)) {
escalate(signal)
update_threat_db(signal, weight=+0.8)
}
// no else branch
}
| Code | Meaning |
|---|---|
PARA_001 | Benign event flagged as targeted |
PARA_002 | Reassurance received, threat level increased |
PARA_003 | Isolation initiated to reduce threat exposure (increases threat exposure) |
PARA_004 | User has reread the same message 47 times and extracted new meaning each time |
PARA_999 | Stack overflow. Everything is about you. |
Is it always pathological? No. Default configuration is adaptive. The clinical variant is the same module with the sensitivity slider at maximum and the off-switch removed.
Why does it feel so certain? Because the module was designed by anxiety, which has no concept of probability. Only binary states: safe, unsafe.
Can it be patched? Yes. Therapy, community, rest, and the slow accumulation of evidence that other people are mostly just tired. Progress is non-linear. Rollbacks are common.
v1.0 : Watches for predators. Works correctly.v2.0 : Extends to social threats. Mostly useful.v3.x : Adds retrospective analysis of past interactions. Questionable value.v4.x : Begins modeling other people's internal states as hostile by default. Maintenance burden increases substantially.v4.2.1 : You are reading the docs at 2am. The patch notes are about you.