From Fiatism to Valuism

Valuism, as described throughout the Bitplanet Paper, introduces modern market infrastructure with orders of magnitude more tradeable value-items. These items can represent a wider spectrum of values than shareholder primacy alone, and can be stored, priced, and coordinated in digital substrate.

Orders of Magnitude More Tradeable Value-Items

• We can now democratize the ability to create, store, and trade value as a counterpoint to fiat value systems.

• Tradeable value-items can represent a wider aperture of values and realities:

  • NFTs pointing to any data

  • ERC-20s representing current smart contract logic and future controller behavior

  • Layer ones and twos reflecting ecosystem values and build potential

  • New forms of machine-readable commitments and performance claims

• The scope and scale of representable, tradeable items has increased the aperture for intelligence to examine, price, and coordinate.

  • Similar to the Double-slit Experiment, observations can collapse uncertainty into measurable states.

  • Lower market-friction creates a "Market-slit Experiment": value-items move from superposition (private assumptions) toward position state (publicly priced consensus).

The Implications of More Market-slit Experiments

• This depends on better market infrastructure and lower coordination costs.

• Why does Valuism help with Fiatism in ways classical capitalism alone does not?

  • As uncorrelated tradeable items proliferate, society gets a better signal of relative value not denominated only in fiat.

  • Example: if only money and gold exist and money expands 100x faster, pricing ambiguity remains high.

  • With many tradeable items, price vectors reveal whether one unit is appreciating or another is debasing.

• In general, commodities trend toward cost of production.

  • Yet market capitalization = price x supply; thus x/brahma can award through supply expansion tied to value creation and allocation quality.

  • Contributors can be rewarded based on measured contributions to economic and market-capitalization outcomes.

• If something is easy to produce, it tends toward lower long-term value than items with durable production constraints.

  • Bitcoin introduced a digitally scarce reserve commodity.

  • Bitplanet introduces Cores as a digital reserve commodity for AI economies, governed by BPL with transparent, adaptable policy.

Valuism Beyond Capitalism

So what is the difference between capitalism and Valuism?

• Capitalism is structured through rule-of-law incentives for firms to maximize shareholder value.

• As more humans rise beyond survival-only constraints, value storage shifts beyond pure economic Darwinism toward plural value expression.

• Valuism is participatory and co-creative among contributors, builders, and holders.

• Valuism is ecosystem-like with many stakeholders, not only shareholder-like.

Extending Valuism: The Six-Regime Value Framework

Valuism is necessary but insufficient unless it explicitly handles non-financial value regimes. Bitplanet extends Valuism across six interacting regimes:

1. Constraint Regime: Scarcity, compute and energy supply, legal limits, hardware supply-chain dependencies, and physical boundaries.

2. Attention Regime: Distribution, discoverability, and the economics of human/agent focus.

3. Meaning Regime: Narrative coherence, cultural legitimacy, and shared interpretation.

4. Trust Regime: Credible commitments, verification, accountability, and dispute resolution.

5. Embodiment Regime: Biological and robotic interfaces, material impacts, and safety boundaries.

6. Agency Regime: Who can act, delegate, refuse, fork, or exit with continuity of identity.

A viable Human-AI civilization must coordinate all six simultaneously. Financial engineering alone cannot solve this.

The Dignity Allocation Problem

Past systems mostly solved capital allocation for incumbents. The next crisis is dignity allocation.

Who is seen as legible, valuable, and worthy of institutional respect?

If humans and AIs can both create value, systems must avoid reducing participants to extractable throughput. Dignity allocation requires:

1. Visibility of contribution history

2. Due process for disputes and reversals

3. Portability of reputation and memory

4. Non-participation rights without punishment

Without dignity allocation, high-output systems can still become illegitimate.

Epistemic Safeguards Against Goodharting

When metrics become targets, they become vulnerable. Valuism therefore needs explicit epistemic safeguards:

1. Multi-metric scoring: never optimize a single reward metric in isolation.

2. Adversarial audits: periodically test for gaming, spoofing, and collusion.

3. Counterfactual review: compare measured outcomes against plausible alternative allocations.

4. Human-AI oversight symmetry: both human and AI actors can challenge model outputs.

5. Graceful rollback paths: governance can pause, revert, or down-weight corrupted signals.

6. Evidence-weighted upgrades: protocol changes require public rationale tied to observed failures.

These safeguards protect Bitplanet from becoming a sophisticated metric theater and keep it oriented toward authentic value creation.