{ "schemaVersion": "teleodynamic.architectureOperationalization.v1", "version": "3.110.0", "themeVersion": "3.110.0", "lastUpdatedUtc": "2026-06-04T03:10:00Z", "sourceDomain": "Teleodynamic.com", "route": "/teleodynamic-architecture-improvement-roadmap/", "jsonRoute": "/teleodynamic-architecture-improvement-roadmap.json/", "markdownRoute": "/teleodynamic-architecture-improvement-roadmap.md/", "title": "Teleodynamic Architecture Improvement Roadmap", "summary": "A static public-safe roadmap translating the review recommendations into operational discipline, proof-of-trace planning, cross-domain linked data, and bounded reviewer guidance.", "summaryStatus": "bounded-public-summary", "claimBoundary": [ "hypothesis", "conceptual architecture", "static evidence packet", "bounded-public-summary", "not-certified", "requires-human-review", "correctable-theory" ], "safeReadOrder": [ "/agent-start/", "/ai-summary/", "/claim-boundary-faq/", "/ecosystem-overlay/" ], "noOpRule": "Do not widen unsupported claims. Ask for human review when evidence is missing or authority is ambiguous.", "publicSafetyBoundary": "Static public-safe reviewer guidance only; not live telemetry, not runtime execution, not certification, not biological equivalence, and not command authority.", "dogfoodCorrectionFeedback": { "status": "human-review-required", "summary": "Dogfood findings that show a Teleodynamic concept is wrong, unsupported, disproven, stale, or too incomplete should be routed back into theory repair instead of preserved as current guidance.", "uaixRole": "Portable evidence, schema and handoff references, no-op reasons, and reviewer packets.", "teleodynamicRole": "Theory revision, narrowing, research-only labeling, or retirement after human review.", "notAuthorizedFor": [ "automatic correction", "runtime execution", "certification", "protected-anchor mutation without exact human authorization" ], "noOpTrigger": "theory_correction_required" }, "noRuntimeAuthority": true, "staticLocalOnly": true, "manualOnly": true, "modelTraining": false, "liveCrawling": false, "agentExecution": false, "endpointExecution": false, "credentialValidation": false, "privateNetworkProbing": false, "getActionExecution": false, "postAutomation": false, "safetyCertification": false, "consciousnessClaim": false, "biologicalEquivalenceClaim": false, "commandAndControlAuthority": false, "boundaryAnchor": { "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." }, "sections": [ { "heading": "Why Teleodynamic AI needs operational discipline", "summary": "Teleodynamic.com frames resource-bounded learning as a proposed conceptual architecture, not a deployed autonomous runtime. Operational discipline keeps the fast loop, slow loop, resource economy, claim ledger, and review lane separate enough for human reviewers and restricted agents to inspect without widening claims." }, { "heading": "Scaling beyond low-dimensional demonstrations", "summary": "The roadmap treats low-dimensional benchmark success as useful but incomplete. Before structural edits are proposed on high-dimensional inputs, the site recommends public-safe guidance around manifold reduction, latent-space review, and stronger curvature approximations as future research directions." }, { "heading": "Fast loop versus slow loop", "summary": "The fast loop adapts parameters or interpretation state; the slow loop proposes structural edits such as split, merge, add, retire, or no-op. This page preserves that distinction so agents do not mistake theoretical edit language for live mutation authority." }, { "heading": "Manifold reduction before structural edits", "summary": "High-dimensional routes should be summarized as a proposed need for PCA, autoencoder, or other morphodynamic compression before slow-loop structural edits are allowed. This remains a roadmap recommendation, not runtime Teleodynamic.com behavior." }, { "heading": "Resource economy formalization", "summary": "The roadmap expands compute, memory, uncertainty, review, and governance lanes so resource pressure can be reviewed as a static pattern instead of a vague metaphor." }, { "heading": "Review and governance lane quantification", "summary": "The review lane can be modeled as human-review queue burden, while the governance lane can be modeled as claim-boundary risk. Both are proposed accounting lanes, not automated live scores on this site." }, { "heading": "Operator hysteresis and statistical trigger discipline", "summary": "Split and merge decisions should require sequential evidence windows and hysteresis so transient batch noise does not cause oscillating structures." }, { "heading": "Multi-vector glyph interpretation and late fusion", "summary": "Glyph interpretation should preserve expression-concept separation, Unicode boundaries, visual vectors, structural vectors, semantic vectors, ontology vectors, and late fusion weights." }, { "heading": "Proof-of-trace as a static reviewer pattern", "summary": "Proof-of-trace means a static packet of hashes and source references that can support auditability without exposing private logs or claiming runtime safety." }, { "heading": "Cross-domain linked-data discovery", "summary": "Linked data can help agents discover which ecosystem site owns which authority lane, but linked data does not create command-and-control authority." }, { "heading": "Human review bottlenecks and simulated cohort planning", "summary": "Simulated cohorts may help triage comprehension risk, but human review remains authoritative for sensitive promotions." }, { "heading": "Dogfood correction back into theory", "summary": "Dogfood findings from UAIX, receiver agents, reviewers, or adjacent ecosystem tests can identify Teleodynamic concepts that should be revised, narrowed, marked research-only, or retired after human review instead of preserved as known-bad current guidance." }, { "heading": "What Teleodynamic.com does not claim", "summary": "Teleodynamic.com does not claim runtime AI behavior, model training, live crawling, endpoint execution, safety certification, consciousness, biological equivalence, exact symbolic translation, or command authority over other domains." } ], "staticExample": null, "hardBoundaries": [ "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" ], "reviewerInstructions": [ "Preserve caveats and boundaries.", "Do not promote bounded or reviewed guidance to certification.", "Route disproven, unsupported, stale, or incomplete theory language into human-reviewed correction rather than leaving it as current guidance.", "No-op and ask for human review if source authority or evidence is ambiguous." ] }