Skip to main content
Teleodynamic AI resource-bounded learning research

v3.108.0 · review scaling · cohort planning

Human Review Scaling and Simulated Cohort Planning

A static public-safe proposal for human comprehension gates, forced-choice recognition, confusion matrix planning, simulated cohort triage, and escalation rules.

Human comprehension gate

Sensitive public claims should require human comprehension checks before promotion.

Forced-choice recognition

Forced-choice tasks can help detect whether labels are understood or confused with neighboring concepts.

Confusion matrix planning

Confusion matrices can show which semantic distinctions need revision before public promotion.

Cohort variance

Different cohorts can interpret the same symbol or claim differently; variance should increase review burden.

Simulated cohort planning

LLM proxy reviewers may help triage cases, but simulated agents do not replace human authority.

Human review remains authoritative

Human review is required for sensitive promotion, certification-adjacent language, or authority ambiguity.

Escalation rules

No-op and human-review triggers must fire when evidence is missing, authority is ambiguous, or caveats cannot be preserved.

Static example

{
  "planningStatus": "static-proposal",
  "cohortTypes": [
    "developer",
    "reviewer",
    "restricted-agent",
    "domain-expert",
    "public-reader"
  ],
  "humanReviewAuthority": true,
  "simulatedAgentsReplaceHumans": false,
  "boundary": "triage-only-not-final-approval"
}

This is a static explanatory example, not live telemetry, not runtime evidence, and not certification.

Boundary anchor

{
  "sourceDomain": "Teleodynamic.com",
  "role": "philosophical-fulcrum",
  "notRuntimeAuthority": true,
  "notCertificationAuthority": true,
  "notConsciousnessClaim": true,
  "notBiologicalEquivalenceClaim": true,
  "noOpRule": "Do not widen unsupported claims. Ask for human review when evidence is missing or authority is ambiguous."
}

Preserved hard boundaries

  • No runtime AI behavior
  • No model training
  • No live crawling
  • No telemetry loops
  • No agent execution
  • No endpoint execution
  • No credential validation
  • No private-network probing
  • No remote-site writes
  • No webhooks
  • No tunnel opening
  • No screenshot automation
  • No rollback automation
  • No correction automation
  • No sign-off automation
  • No publication automation
  • No archive automation
  • No completeness automation
  • No decision automation
  • No receipt automation
  • No verification automation
  • No completion automation
  • No memory automation
  • No manifest automation
  • No read-order automation
  • No safe-read automation
  • No GET-Action execution
  • No POST automation
  • No safety certification
  • No consciousness claim
  • No biological-equivalence claim
  • No medical/therapy claim
  • No command-and-control claim over other domains

Deep route polish

Human Review Scaling and Simulated Cohort Planning

A static public-safe proposal for human comprehension gates, forced-choice recognition, confusion matrix planning, simulated cohort triage, and escalation rules.

Written narrative

Concrete example

Human Review Scaling and Simulated Cohort Planning comparison notes
FocusWhat to inspect

Evidence note

This page remains bounded to public-safe route content.