Article: Economic Scarcity as Value: A Universal Framework for Blockchain and Beyond
Date: August 8, 2025
Publisher: Agisilaos Papadogiannis
Score: ₿₿+
Read time: 40 minutes
Summary:
- Overview: The article says value comes from “economic scarcity,” which is where something people want is hard to get in a way that can be paid for or traded. It links five parts of a blockchain-Purpose, Incentives, Consensus, Tokenomics, and Network Effects-to how scarcity is built and priced. It turns this into a simple network value rule: value ≈ desirability × physical scarcity × adoption effects. The paper then compares Bitcoin, Ethereum, and Bittensor to show how design choices change scarcity and value. It also shows how to back out a “desirability” term from market cap after accounting for scarcity and users. The aim is a single lens that works across assets, not just tokens.
- Scarcity defined clearly: Economic scarcity is when access to a wanted good or service is limited so it can be monetized (by fees, yield, or resale). The paper contrasts this with plain rarity and argues scarcity is the upstream driver of value, even before cash flows exist.
- Five elements drive value: The five elements-Purpose, Incentives, Consensus, Tokenomics, and Network Effects-map to layers of system design. Together they create, protect, and monetize scarcity over time.
- Network-effects formula: The formula says that the value of a network at time t, written as Vt, is equal to desirability Dt multiplied by physical scarcity St and then multiplied again by adoption ut raised to the power of alpha. Desirability captures how much people want the asset, scarcity captures how limited it is in supply, and adoption shows how many people use it or interact with it. The alpha term adjusts how strongly adoption influences value, with higher alpha meaning stronger network effects.
- Case study takeaways: Bitcoin scores near-perfect on structural scarcity; Ethereum is moderate but helped by its burn design; Bittensor is capped but early, with higher inflation and flexible governance. Using the formula, the author infers higher desirability for BTC and ETH than TAO at the August 2025 snapshot.
- Token’s economic role: The native token ties the five elements together as the way scarcity is monetized and access is priced. It grants service access, aligns rewards, anchors consensus, and implements monetary rules that shape supply.
Article: Bittensor Protocol: The Bitcoin in Decentralized Artificial Intelligence? A Critical and Empirical Analysis
Date: June 29, 2025
Publisher: Elizabeth Lui and Jiahao Sun, FLock.io
Score: ₿₿+
Read time: 30 minutes
Summary:
- Overview: This article analyzes the Bittensor protocol to assess whether it mirrors Bitcoin’s principles in the realm of decentralized artificial intelligence (deAI). Through empirical data from 64 active subnets and over 120,000 wallets, the study finds extreme concentration of stake and rewards, with performance playing a minor role in reward distribution. The authors highlight structural vulnerabilities in Bittensor’s consensus mechanism due to stake centralization, raising the risk of 51% attacks. To counter this, they propose three performance-aligned reward mechanisms and three stake-distribution strategies. The paper concludes that while Bittensor adopts a Bitcoin-like tokenomics framework, it suffers from critical misalignments that must be addressed for long-term decentralization and security.
- Tokenomics Misalignment: Rewards in Bittensor are heavily tied to stake rather than performance, especially for miners. The strongest correlation exists between how much TAO a participant stakes and the rewards received, rather than the quality of their contributions. This diverges from the core idea of incentivizing useful AI work and introduces inefficiencies in token allocation.
- Stake and Reward Concentration: Top 1% of wallets hold approximately 90% of stake and receive over 24% of all rewards across most subnets. Subnet Gini coefficients and HHI values confirm high centralization, with newer or smaller subnets being especially prone to majority control by just a few actors. This mirrors early Bitcoin mining pool concentration, though with significantly lower entry barriers.
- Proposed Incentive Realignments: Three models are introduced: performance-weighted splits (modest improvements), composite scoring (strong improvements but undermines stake incentives), and trust-bonus multipliers (least intrusive). The composite model increases reward-performance correlation up to +0.36 but reduces the stake-reward link significantly, while the bonus multiplier provides small but stable performance alignment.
- Security Enhancements Against 51% Attacks: To reduce vulnerability, the authors propose stake caps (notably at the 88th percentile), concave stake weighting, and log-based transformations. The 88% cap emerged as the most effective trade-off, raising the required coalition size for a 51% attack from under 2% to about 20% of wallets, while keeping penalties to large stakeholders manageable.
Article: Shares vs. Tokens: Why We Need Outstanding Supply and a Smarter Circulating Supply
Date: August 26, 2025
Publisher: Zheng Jie, Cosmo Jiang
Score: ₿₿+
Read time: 10-12 minutes
Summary:
- Overview: This article outlines a proposed standard for measuring token supply in crypto markets to improve valuation accuracy and comparability with traditional equity markets. It introduces Outstanding Supply as a cleaner alternative to Fully Diluted Valuation (FDV) and inconsistent Circulating Supply metrics. The authors argue that Outstanding Supply, defined as Total Supply minus protocol-owned holdings, better reflects the actual tokens held by investors, akin to Outstanding Shares in stocks. This metric avoids overestimating market caps by excluding unvested or protocol-controlled tokens that do not represent real liquidity or ownership. By applying this framework to projects like Hyperliquid, the article shows how discrepancies in current supply definitions lead to inflated or misleading valuations, emphasizing the need for standardization. The proposed model also includes a refined version of Circulating Supply, excluding locked or illiquid tokens, similar to Floating Shares in equity markets.
- Token Metrics Misalignment: Token supply data today lacks consistency, with different platforms using conflicting definitions for Circulating Supply. These discrepancies lead to significant valuation swings, sometimes by billions of dollars. This misalignment hampers investors' ability to assess a token’s actual market size or risk.
- FDV vs. Real Ownership: Valuing tokens based on FDV equates to pricing as if all possible supply is liquid, similar to valuing a stock using Authorized Shares. This method exaggerates market caps and distorts ratios like price-to-earnings. Outstanding Supply offers a midpoint that aligns more closely with economic reality.
- Case Study - Hyperliquid: The article uses Hyperliquid’s $HYPE token to illustrate the concept. While CoinGecko and DefiLlama show vastly different valuations, Artemis’ Outstanding Supply metric gives a more accurate $20.8B market cap. This reflects tokens truly held by investors, excluding 60M held by Hyper Foundation, offering a more faithful representation of token ownership and risk.
- Why Dual Metrics Matter: Both Outstanding Supply and a smarter Circulating Supply serve distinct but complementary roles. Outstanding Supply gives a clearer view of real ownership, while refined Circulating Supply highlights tradable liquidity. Together, they enhance transparency, reduce valuation errors, and allow better cross-protocol comparisons for investors.
Article: The Architecture of Blockchain Value: Capabilities, Pillars, and Growth Dynamics
Date: August 22, 2025
Publisher: Agisilaos Papadogiannis (Independent Researcher)
Score: ₿₿
Read time: ~45 minutes
Summary:
- Overview: This article introduces a comprehensive framework for evaluating blockchain value creation through the lens of digital capabilities. It categorizes blockchain systems into single-, multi-, and meta-capability paradigms, each supporting increasingly complex and interoperable services. The core argument is that blockchain value arises from a combination of user adoption, the intrinsic value of services provided, and the network effects reinforced by architectural features like tokenomics and composability. The author develops a formal valuation model that incorporates both direct contributions of individual capabilities and synergistic effects from their interaction. The paper demonstrates that meta-capability systems structurally outperform simpler paradigms due to stronger and scalable network dynamics. This capability-centered approach links protocol design to economic outcomes and serves as a strategic tool for evaluating blockchain ecosystems.
- Capability Taxonomy and Design Implications: Blockchains are categorized by their capability set: single-capability systems like Bitcoin serve a narrow function (e.g., payments), multi-capability systems like Ethereum support broader programmable services, and meta-capability systems such as Bittensor enable open-ended, interoperable services. This taxonomy determines the architectural requirements needed to support those capabilities, particularly in areas like tokenomics and incentive alignment.
- Valuation Framework Based on Capabilities: The paper presents a formula-driven valuation model that considers per-unit service value, user adoption rates, and network-effect multipliers. Importantly, it includes a composability term, allowing for value generation through the synergistic combination of capabilities. Meta-capability systems, with greater service diversity and interoperability, achieve quadratic or exponential scaling advantages in value compared to simpler systems.
- Tokenomics as Value Anchor: Tokenomics is identified as one of the five key architectural pillars. It encompasses token issuance, supply control, usage rights, and incentive structures. The alignment of token function with the network’s purpose and capabilities determines sustainability. Meta-capability systems often use a layered token structure to support diverse and evolving economic roles.
- Network Effects and Scaling Laws: The article contrasts how different blockchain paradigms scale in terms of network value: single-capability systems follow Metcalfe’s Law (value ~ u²), multi-capability systems approach Reed’s Law through subgroup dynamics, and meta-capability systems are structurally built for exponential value scaling (value ~ 2^u). This illustrates how protocol architecture predefines its potential economic trajectory.
Article: Governance for regenerative coordination: the evolution from DAO to DAO 3.0
Date: 05 September 2025
Publisher: Kate Bennett
Score: ₿₿
Read time: 20-25 minutes
Summary:
- Overview: The article studies how DAO governance can move beyond early token voting to support fair, inclusive, and regenerative coordination. It follows Hypha’s path from a classic DAO to a Decentralized Human Organization (DHO) and then to “DAO 3.0,” an adaptable organization. The paper finds DAO 3.0 adds modular voting, role-based agency, and trust safeguards while enabling real-time capital flows between nested “spaces.” It argues governance should behave like a living system, balancing automation with human judgment and local context. The case frames DAO 3.0 as infrastructure for regenerative finance in under-resourced settings. The study positions the model as practical guidance for builders and policymakers seeking equitable governance.
- Token power vs. roles: The paper shows how role-based governance and multi-voting plugins reduce plutocracy by decoupling voice from token wealth. It lists measures like visible trust metrics, reputational layers, and “leadership without control” to align authority with stewardship, not capital.
- Capital flow mechanics: Hypha V3 standardizes each governance “space” around membership, agreements, and treasury, enabling rapid setup and interoperability. It supports space-to-space agreements and real-time, cross-currency fund flows so money can reach hyper-local projects with traceability.
- Adaptive architecture & process: Nested, “membranic” spaces allow customized voting thresholds and tiered participation while keeping groups aligned to the whole. A formal sense-making stage before proposals improves alignment and turnout, shifting from uniform consensus to coherent action.
- Limits, risks, and next steps: The model was analyzed pre-launch and still faces access issues (web-first UI, low-bandwidth contexts) and unresolved legal status in some jurisdictions. Risk controls include layered governance to limit the “blast radius” of bad decisions and a human-in-the-loop to catch unsuitable proposals.
