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Extended Abstract. Extended Abstract

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Jason St George. "Extended Abstract. Extended Abstract" in Next Generation Stores of Value: Privacy, Proofs, Compute. Version v1.9. /v/1.9/read/front-matter/extended-abstract/

Extended Abstract

Post-Bretton Woods money is increasingly backed by compliance and regulatory enforcement rather than reserves or convertibility. Debt stocks that cannot be honored in real terms make financial repression and balance-sheet capture arithmetically attractive, and the dependency now runs in both directions, as fiscal capacity itself comes to rest on the market value of the asset complexes the state regulates; synthetic media and platform moderation undermine the assumption that “seeing is believing”; AI concentrates cognition and compute behind hyperscaler chokepoints; hardware, networks, identity, and custody systems are progressively integrated into state and platform surveillance infrastructure. In that environment, stores of value that depend on soft guarantees—custodians, editorial gatekeepers, platform labels, regulated wrappers, or vendor invoices—are brittle.

This thesis tests a narrower claim: Privacy, Proofs, and Compute can support an agency-preserving bearer asset that may earn monetary premium under repression, but only where the full stack delivers usable service under stress and a durable native holder base warehouses the asset’s risk. Fees, burns, collateral, disciplined issuance, and public telemetry establish value accrual—a competitively priced cash-flow claim and a balance-sheet floor, both of which a discounted-cash-flow valuation reproduces and neither of which is a monetary premium. The monetary claim rests on something else: a state-contingent holder-side service flow, the bearer’s ability to transact, prove, hold, and exit when the substitutes for proofs, courts, and custodians have stopped working. That mechanism is standard; this thesis argues it, declines to size it, and makes its physical, market, and holder conditions measurable so the question can be settled rather than asserted. We build a threat model that assumes intentional repression, not benevolence—including the softer administrative repression of custody defaults, compliance rules, and platform terms of service—and introduce a seven-layer architecture grounded in Layer 0 verifiable machines, energy, and physical capacity (Facility Capacity Receipts), extending through communications, software distribution, identity, truth & work, value & settlement, and a telemetry/governance layer that measures drift rather than denying it.

At the economic core, we formalize verification asymmetry and define VerifyPrice (the time-and-cost vector for independently checking a claim) as the hinge that turns proofs and verified FLOPs into commodities rather than platform IOUs. We propose a Create/Compute → Prove → Settle → Verify loop, a modular stack of twelve primitives and four reference applications (private treasury & payroll, media provenance, verified inference, proof/compute procurement), and an operator/investor telemetry program (including extensions like VerifyReach, VerifySettle, and the Wrapper Dominance Ratio) that makes neutrality, repression-resilience, and co-option risk falsifiable.

Even when these conditions hold at the protocol layer, observed asset prices can be dominated by external financial wrappers, price-insensitive allocations, mechanical rebalancing, and dealer hedging. This thesis therefore distinguishes native value capture from market price capture and introduces VerifyFlow, a public market-realization telemetry program measuring wrapper exposure, creations and redemptions, holder flow elasticity, leverage, concentration, dealer dependence, and the divergence between financial exposure and protocol-native use. Price is not treated as proof of monetary adoption. Recurring native fees, burns, collateral, settlement, and verified-work demand under healthy SLOs are what make value accrue to a triad asset at all, and are necessary before any monetary question can be asked of it; wrapper-led appreciation without those conditions is financialization rather than monetary validation.

Beneath both loops sits a physical dependency the thesis makes explicit rather than assuming away. Gross capacity is not deliverable service: the relevant quantity is the surviving flow through energy or fuel \rightarrow firm electricity \rightarrow transformer and switchgear \rightarrow cooling and water \rightarrow hardware \rightarrow network \rightarrow workload \rightarrow proof \rightarrow verification \rightarrow settlement \rightarrow usable service. We therefore report Delivered Verified Capacity beside Sovereign Optionality: the first measures scenario-specific surviving service flow and its minimum cut, while the second measures pathway diversity. Issuance claims are bounded by stress-adjusted deliverable capacity, not nameplate hardware or a benign-state average. Because verification affordability is denominated in real resources on reference hardware, it is exogenous to token price but not exogenous to the conditions under which power and unprivileged hardware can be obtained. The hinge is externally triggerable.

The Topological Scarcity Lemma follows: a nominal stock of resources, capital, or capacity does not secure a monetary service; the relevant quantity is the stress-deliverable flow through the narrowest non-substitutable edge connecting input to holder utility. The associated Pressure–Capacity Corridor writes the potential monetary service as Πmonetary(R)Δ(R)×Afull\mboxstack(R)×H(R)\Pi_{\mathrm{monetary}}(R)\propto \Delta(R)\times A_{\mathrm{full\mbox{-}stack}}(R)\times H(R), where differential demand may rise with regime pressure, full-stack availability may fall, and H(R)H(R) is the holder’s practical ability to self-custody, transact, prove, and exit. The likely shape is an inverted U: little differential value under benign institutions, the strongest case while substitutes weaken but the open stack still works, and declining service when extreme pressure disables the stack or the holder.

The competitor to an open verifiable stack is accordingly not fiat alone but a competent closed sovereign stack—state-integrated energy, industry, compute, payments, and identity—which may win on cost, uptime, and build speed while inverting who ends up sovereign. Architecture is likewise not pre-selected: the thesis compares one native monetary asset, a neutral reserve plus service-specific credits, and shared settlement plus modular domain collateral. Capability was never the claim; the properties are. In total the thesis publishes fifteen red lines: named, measurable conditions any one of which would retire it.

Gold, silver, Bitcoin, and physical hard assets remain load-bearing bridge assets while this stack is under construction; the triad becomes a candidate destination only when VerifyPrice, VerifyReach, VerifySettle, Layer 0 capacity telemetry, and value-capture metrics prove resilience under adversarial conditions. This is not a call to abandon hard assets prematurely, nor a claim that new money is inevitable. Bitcoin’s work function is conceded to be monetarily superior to proof-of-useful-work, and for a reason that does not go away: nobody outside the system buys a hash, so nobody can subsidize, mandate, or withdraw demand for it, and a useful-work function necessarily introduces a buyer who can be. The claim made here is not that a better money is available, but that portable attestation and verified compute are separate goods with separate demand, and that whether they carry monetary premium or merely price as services is open. The result is not a single chain or guaranteed new money, but a research and engineering agenda: a “Bell Labs” for proof-of-useful-work and lawful privacy, testing whether Privacy, Proofs, and Compute can earn a store-of-value premium under measurable conditions—if verification remains cheap, privacy settlement remains usable, useful-work markets avoid capture, physical infrastructure remains legible, and protocol design converts recurring triad demand into scarce, non-bypassable, agency-preserving asset value.

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