Teleodynamic Research
The five commitments of Teleodynamic Learning
A practical reading of the five conditions that distinguish the published paradigm from generic resource-aware or adaptive software.
A timeout is not an emergent halt
Structural freeze is an endogenous action-selection claim; timeouts, memory caps, and manual stops remain external controls even when they are necessary.
Mapping browser resources without pretending telemetry is thermodynamics
A browser can expose useful application-owned measurements, but it rarely exposes direct device energy, thermal headroom, or complete memory pressure.
Reproducing DE11: evidence plan and limitations
The Distinction Engine results are a starting point for reproduction, not proof that a browser runtime or language model exhibits teleodynamic learning.
Designing a teleodynamic event ledger
An append-only decision record makes path dependence, local rationality, resource coupling, and phase claims inspectable and replayable.
Teleodynamic AI and tiny language models: controller, substrate, or metaphor?
A tiny language model may provide predictions inside a teleodynamic system, but size, local inference, and quantization do not satisfy the paradigm by themselves.
Auditing the emergent-halt claim in Teleodynamic Learning v1
The paper’s empirical narrative argues for endogenous freeze, while its appendix proof guarantees eventual freeze through explicit structural caps. This note defines the evidence needed to separate the two.