THE MODEL IS EVOLVING

Last Updated on August 10, 2026 by Rob Cashman

MODEL 01: Systems frequently evolve not merely because previous events force them forward, but because stable states influence how change unfolds.

Article: Homeostasis, Causality, and the Direction of Time

Topic: What if the assumption that “time is a compilation of all past events” is incomplete? What if inertia, resistance, and/or “homeostasis” are missing variables that play a part in the unfolding of time? Or, what if there is an attractor state influencing events in time to unfold towards that set attractor outcome?

Time
↓
Causality
↓
Events

    ↓

MODEL 02: The unfolding of time retroactively reveals the meaning of past events; what else might be happening against the current of time?

Article: Does the Future Determine the Meaning of the Past? (Pending)

Time
↓
Causality
↓
Systems
↓
Emergence

    ↓

MODEL 03: “Inevitability” implies that from a system-level, there are sometimes pressures and influences that compromise the agent-level actor’s ability to make a choice (or to have “volition”) in the matter.

Article: When Systems Shape Choice: The Architecture of Inevitability

Topic: Do AI companies have choice whether to release “open-weight” AI models into the public? Or are there already system-level forces making disclosure inevitable?

Agents
↕
Systems
↓
Competition
↓
Selection
↓
Emergent outcomes

    ↓

MODEL 04: There is an inherent danger when researchers intervene in complex systems, especially when the variables affecting those systems are not fully considered.

Article: The Inherent Dangers of Optimizing Complex Systems

Topic: Should biotechnology researchers create AI-created viruses to interfere with natural selection within an ecosystem?

Scientific Research
↓
System (in a vacuum)?

or

Scientific Research
↓
Complex System with Unknown Variables:

Missing Variable #1: Balance within the System
↓
Missing Variable #2: Relationships Between Actors within the System
↓
Missing Variable #3: Boundaries of the System Itself

    ↓

MODEL 05: Our visual processes make use of cones and rods in reaction to light conditions to detect presence without identifying what it is we are detecting.

Article: Why do monsters come out at night? The science of how our visual systems react to light waves and process information in darkness.

Illumination
↓
Color
↓
Visual Processing
↓
Cones
↕
Rods
↓
Presence Without Identification
↓
Monsters