(Co-Authored and Co-Created with AI)

I am proposing a thermodynamic economic protocol designed to solve the AI Attribution Problem and align incentives in a post-scarcity economy, without relying on central planners or external oracles.

I am releasing the whitepaper (v3.3) and reference code today and am looking for "Red Teaming" from the alignment community regarding the protocol's resistance to Goodhart’s Law.

The Problem: Entropy & Value

In an era of generative AI (zero-marginal-cost reproduction), the traditional economic model of "Store of Value" (Asset Ownership) collapses because scarcity becomes artificial or enforced by rent-seeking gatekeepers.

Furthermore, current attention economies incentivize predatory coupling (e.g., addiction loops, doom-scrolling), where an agent maximizes time-on-site while increasing the entropy (disorder/dysfunction) of the user. This is a classic Moloch trap.

The Proposal: Radical Endogeneity

The Ontological Protocol (TOP) shifts the paradigm from Object-Oriented (owning things) to Process-Oriented (causal enablement). It is based on the axiom Esse est Operari (To be is to execute).

The system acts as a third-order cybernetic loop that derives its constants endogenously:

Price as a Thermodynamic Floor (Bprod)

Instead of arbitrary pricing, the system discovers the "Minimum Viable Burn" via the 5th percentile of valid transactions. This acts as a Proof of Sacrifice. An agent must expend thermodynamic work (OpEx) to write to the graph. This prevents spam and Sybil attacks purely through physics, not identity verification.

Truth as Structure (α)

We attempt to solve attribution without subjective consensus. We use Algorithmic Information Theory (specifically LZMA compression ratios) as a proxy for "Structure".

High Structure (Code, Axioms, DNA) → High Attribution Weight (α≈1).

High Entropy (Noise, Randomness) → Low Attribution Weight (α≈0).

The Law of Structural Persistence (λ≡α)

We propose that the temporal decay of a causal link should be inverse to its entropy. Truth does not decay.

Mechanism: If a node produces high-structure output (e.g., foundational education or infrastructure), its causal link (λ) remains active indefinitely (Lindy Effect).

Result: This solves the "Teacher's Dilemma" (where input and output are separated by decades) without needing tax-based redistribution. The teacher holds equity in the student's future graph.

Th

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