War without End
The Maintenance Department
The Enemy as an Undifferentiated Target
Just Testing the Equipment / Improving the Technology
Continuation / Discontinuation
Friday, March 13, 2026
Sunday, March 8, 2026
Thursday, March 5, 2026
Wednesday, March 4, 2026
Asemic Theory ~ Rhizomatic Stochastics / EZE, 2026
From Microsoft Copilot:
Rhizomatic stochastics isn’t an established term in mathematics or philosophy, but its two components — rhizomatic and stochastics — each have rich conceptual histories. When combined, they gesture toward a way of thinking about randomness that is decentralized, non‑hierarchical, and multiply connected.
🌱 Rhizomatic Foundations
The word rhizomatic comes from the philosophical work of Gilles Deleuze and Félix Guattari, who use the rhizome as a metaphor for systems without a central root, hierarchy, or linear structure. A rhizome “connects any point to any other point” and can be entered from any direction. It emphasizes heterogeneity, multiplicity, and continual transformation.
Key features of rhizomatic structures include:
Non-hierarchical organization — no privileged starting point or governing center.
Multiple, shifting connections — elements link in many directions.
Decentralized growth — expansion occurs unpredictably, like roots spreading underground.
Open-endedness — no fixed boundaries or final form.
These ideas have influenced learning theory, media theory, and literary analysis.
🎲 Stochastics
Stochastics refers to systems governed by randomness, probability, or uncertainty. In mathematics, stochastic processes model phenomena that evolve unpredictably over time — Brownian motion, Markov chains, random walks, and so on.
🔗 Putting them together: What “rhizomatic stochastics” would mean
Although not a standard term, rhizomatic stochastics naturally suggests a conceptual framework where random processes evolve in a rhizome-like manner:
Nonlinear randomness — instead of a single probabilistic path, many branching, reconnecting, and diverging trajectories.
Distributed causality — no central driver of the stochastic behavior; influences arise from many directions.
Emergent structure — patterns form from local interactions rather than global rules.
Open systems — new nodes, variables, or influences can enter at any time.
This could describe:
Complex adaptive systems (ecologies, markets, neural networks)
Non-hierarchical information flows (social networks, hypertext)
Learning processes that evolve unpredictably and nonlinearly
Mathematical models where randomness interacts with decentralized topology
In short, it frames stochastic behavior not as a tree of branching probabilities but as a network of probabilistic flows, more like a web than a path.
📚 Why the term feels intuitive
Deleuze and Guattari’s rhizome already challenges linear, deterministic models of knowledge and meaning. Stochastic processes challenge deterministic models of physical or mathematical evolution. Combining them highlights randomness in systems that are already non-hierarchical and multiply connected, a natural pairing for modeling contemporary complex phenomena.
From Google AI:
Rhizomatic stochastics refers to the intersection of non-hierarchical network structures (rhizomes) and probabilistic, random processes (stochastics). While not a single codified discipline, it is an emerging conceptual framework used in philosophy, biology, and digital theory to describe systems that grow and evolve through random, unpredictable connections.
Core Concepts
- Rhizome (Philosophy): A concept developed by Gilles Deleuze and Félix Guattari representing a centerless network where any point can connect to any other. It contrasts with "arborescent" (tree-like) structures that have a single trunk or origin.
- Stochastics (Mathematics): Systems governed by random probability. In a rhizomatic context, this means the growth and "lines of flight" (breakaway points) of the network are not predetermined but occur through chance and environmental flux.
Key Applications- Biological Quasispecies: Recent studies in virology use a rhizomatic vision to explain how viral populations evolve through lethal mutagenesis—a stochastic process where random mutations are used as a "solvent" to weaken the virus's structural connections.
- Digital Networks & AI: The internet and large language models are often described as rhizomatic. The way information moves between nodes is frequently a stochastic process, where "stochastic machines" (like AI) generate unexpected but meaningful connections across a distributed network.
- Social Dynamics & "Stochastic Violence": Some theorists use the term to describe how decentralized, rhizomatic networks (like social media swarms) can trigger "spontaneous but predictable" eruptions of violence through the seeding of hatred, without a central command hierarchy.
- Rhizomatic Learning: A pedagogical approach where the "community is the curriculum". It embraces uncertainty and prepares learners for stochastic environments where they must navigate and create knowledge through social interactions rather than pre-set modules.
Friday, February 27, 2026
Sunday, February 22, 2026
Saturday, February 21, 2026
Sunday, February 15, 2026
Saturday, February 14, 2026
Friday, February 13, 2026
Thursday, February 12, 2026
Wednesday, February 11, 2026
Tuesday, February 10, 2026
Sunday, February 8, 2026
Babble, Babel, ... Asemics / EZE, 2026
Asemics is not about non-sense per se, but it is about making relationships, often by way of disparate mapping.
Hence, asemic writing is often a mapping of writing, which usually concerns language, to the graphic.
Yet this type of mapping sometimes escapes the linguistic aspect of writing entirely, and once the linguistic is escaped, the basis for interpreting an asemic communication as non-sense is also escaped.
How so?
In the case of asemic writing where writing becomes art, asemics often forces a genre shift.
As such, an asemic mapping does not necessarily produce non-sense because the terms for non-sense (writing as an act of communication based in language) have shifted to writing as an act of art.
Art allows for non-sense in a way writing does not?
Paradox too is a different context for something very much like non-sense.
Consider Zeno's Arrow Paradox in regard to the distance an arrow travels: the mathematical explanation entails that the arrow never reaches its target. The explanation offered by physics dissolves the paradox.
Hence, a genre shift allows us to escape a basis and thereby resolve a disparity invoked by a basis.
But what of this question in a different direction where asemics begins with something non-sensical and then re-maps it?
The outcomes here are multiple.
We often produce meaning from non-sense, and we would thereby have sense construed from non-sense.
But we might also have non-sense as our outcome.
And then too, we might have an asemic outcome with the meaning of this act left in question.
Saturday, February 7, 2026
Thursday, February 5, 2026
Wednesday, February 4, 2026
Predatory Hegemon in a Toy Kingdom / EZE, 2026
Do toys have lives?
And what about people?
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AI Overview
Toy Story narratives are fundamentally about the cutthroat politics of securing loyalty and affection within a competitive, closed society.
A Machiavellian reading of
Toy Story positions Woody not as a selfless leader, but as an insecure autocrat wielding power to maintain his status. Driven by the fear of replacement, Woody manipulates the toy society, employing authoritarian tactics to secure his position as Andy’s favorite. His initial actions against Buzz Lightyear mirror the political maneuvering of a ruler eliminating a rival to maintain control over his "kingdom".Woody as the Prince: Woody operates as a ruler who prioritizes maintaining his power (Andy's love) above all else. His authority is absolute, with other toys acting as subordinates in a small, closed, "tribal" system, a dynamic similar to the authoritarianism discussed in the context of political power.
The Threat of the New: Buzz Lightyear represents a "new prince"—a disruptor threatening the established order. Woody’s hostile, Machiavellian reaction is to manipulate and neutralize this threat rather than foster a cooperative environment.
The Machiavellian Dilemma: Woody's actions are driven by fear—specifically of being irrelevant or replaced—prompting him to take drastic, often unethical, measures to retain his position, which highlights the central Machiavellian tenet that it is safer to be feared than loved, although he ultimately seeks to be both.
Saturday, January 31, 2026
Thursday, January 29, 2026
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