Separates the paradigm from static regularization, neural architecture search, Minimum Description Length alone, fixed-utility agents, generic feedback control, and biological claims.
Research documentation: this page interprets a cited research source and defines evidence requirements. It does not claim a released Teleodynamic AI implementation.
Not static optimization
A fixed global loss plus a regularizer lacks an endogenous resource trajectory and a per-transition structural action gate.
Not ordinary neural architecture search
A nested architecture search with an externally assigned budget does not establish simultaneous coupled dynamics or an endogenous resource.
Not Minimum Description Length alone
Description length can inform a complexity term, but it does not supply the resource state, local path-dependent action process, or beneficiary.
Not generic agency or feedback control
Planning, tools, memory, autonomous execution, self-monitoring, or ordinary homeostatic control may be useful components without satisfying the five commitments.
Not biological life
A computational formalism does not demonstrate metabolism, consciousness, moral standing, autopoiesis, or intrinsic desire to persist.
Scope
This starter page defines the questions, boundaries, evidence, and failure modes that should be recorded before a capability is presented as supported.
Engineering considerations
- Identify the source, version, target environment, and owner.
- Separate observed values from estimates and externally reported values.
- Record trade-offs, unsupported cases, and fallback behavior.
- Link performance statements to a compatible benchmark methodology.
Verification questions
- What exact artifact, revision, backend, and environment were reviewed?
- Which assumptions could change the result?
- Which data should be retained so another engineer can reproduce the conclusion?