The Birth of the Sovereign Individual
From “Putting Humans On-Chain” to DeSoc Under Competitive Governance
The Birth of the Sovereign Individual
From “Putting Humans On-Chain” to DeSoc Under Competitive Governance
The Upper Bound of Ethereum
From Computing Protocol to Civilizational Foundation
The Upper Bound of Ethereum
From Computing Protocol to Civilizational Foundation
Taming the Leviathan: Historical Context of Power Reversibility and the New Paradigm of Algorithmic Governance
Abstract: This paper proposes a core proposition: the effectiveness of power constraint mechanisms fundamentally depends on “Power Reversibility” — the ability of social members to revoke granted power at a low cost and with high efficiency. By reviewing the historical context of power operation, this study reveals a structural dilemma in systems ranging from ancient monarchies to modern representative democracies, where “authorization is easy, revocation is difficult”. This dilemma leads to institutional rigidity, accountability failure, and the recurrent cycle of corruption. In the digital age, algorithmic governance mechanisms built by Blockchain and DAO (Decentralized Autonomous Organization) for the first time technically achieve “Reversible Authorization,” transforming power revocation from a major political event into a routine procedural operation. This paper innovatively constructs the “Power Reversibility Index (PRI)” to quantitatively evaluate governance effectiveness from four dimensions: time cost, economic cost, execution certainty, and social destructiveness. Through empirical comparison of historical institutions and contemporary algorithms, the study verifies the revolutionary breakthroughs of DAO in power revocation cost, execution certainty, and social destructiveness. The research shows that “Programmable Constitutionalism,” by encoding power relations into automatically executing contracts, reconstructs the temporal structure of power and the logic of accountability, offering a technical paradigm and engineering path to solve the millennium-old governance dilemma. Keywords: Power Taming; Reversible Authorization; Algorithmic Governance; DAO; Programmable Constitutionalism; Power Reversibility Index (PRI)
Taming the Leviathan: Historical Context of Power Reversibility and the New Paradigm of Algorithmic Governance
Abstract: This paper proposes a core proposition: the effectiveness of power constraint mechanisms fundamentally depends on “Power Reversibility” — the ability of social members to revoke granted power at a low cost and with high efficiency. By reviewing the historical context of power operation, this study reveals a structural dilemma in systems ranging from ancient monarchies to modern representative democracies, where “authorization is easy, revocation is difficult”. This dilemma leads to institutional rigidity, accountability failure, and the recurrent cycle of corruption. In the digital age, algorithmic governance mechanisms built by Blockchain and DAO (Decentralized Autonomous Organization) for the first time technically achieve “Reversible Authorization,” transforming power revocation from a major political event into a routine procedural operation. This paper innovatively constructs the “Power Reversibility Index (PRI)” to quantitatively evaluate governance effectiveness from four dimensions: time cost, economic cost, execution certainty, and social destructiveness. Through empirical comparison of historical institutions and contemporary algorithms, the study verifies the revolutionary breakthroughs of DAO in power revocation cost, execution certainty, and social destructiveness. The research shows that “Programmable Constitutionalism,” by encoding power relations into automatically executing contracts, reconstructs the temporal structure of power and the logic of accountability, offering a technical paradigm and engineering path to solve the millennium-old governance dilemma. Keywords: Power Taming; Reversible Authorization; Algorithmic Governance; DAO; Programmable Constitutionalism; Power Reversibility Index (PRI)
