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Scope of Self-Custody for an Organization
The scope of self-custody for an organization encompasses three
essential constructs: the custody of algorithms, the custody of
relations, and the custody of machines. Mastering these areas
grants the organization the necessary generality and resilience to
grow sustainably while maintaining control and transparency within
its structure. By securing these critical elements, the organization
ensures it has the foundation to scale into a large, decentralized
entity capable of operating independently and efficiently.
1. Self-Custody of Algorithms:
At the heart of an organization’s operations are the algorithms that govern its processes, decisions, and systems. The self-custody of algorithms means that the organization maintains full control over the creation, updates, and management of the software that runs its internal and external operations. This involves not only the technical aspects of writing and maintaining code but also the governance around how these algorithms evolve over time.
The key feature of this form of self-custody is transparency and consensus. Every individual within the organization can view and understand the algorithms, and changes or updates are implemented through a consensus-driven process. This ensures that the organization remains adaptable and accountable, with its members having a say in the operations that directly affect them. This decentralized control over algorithms promotes trust and adaptability, two critical elements for long-term resilience.
2. Self-Custody of Relations:
The self-custody of relations refers to the way individuals within the organization act as mutual backups and support systems for one another. Initially, this might take the form of a social recovery mechanism, where individuals rely on trusted peers to recover lost access or secure assets. However, as the organization matures, this mechanism evolves into deeper relationships based on loyalty, trust, and reputation.
By enabling self-custody of relations, the organization fosters a network of interdependence that strengthens the fabric of the collective. Individuals can serve as references or validators for one another, creating a web of trust that enhances both individual and organizational resilience. When combined with the self-custody of the individual, these relational bonds form a decentralized, yet highly stable, structure that ensures the organization remains robust even in the face of challenges or disruptions.
3. Self-Custody of Machines:
The self-custody of machines refers to the organization’s ability to control the physical infrastructure on which its algorithms run. Whether these machines are stationary servers or non-stationary, such as drones or autonomous vehicles, the organization must maintain direct control to ensure the availability, security, and stability of its operations.
Stationary machines serve to power the organization’s software, data storage, and algorithmic processes. By keeping these machines within its control, the organization safeguards its core operations and data integrity. For non-stationary machines, custody becomes even more critical, as these devices may be responsible for delivering physical services to individuals within the network. Control over these machines ensures the organization can provide consistent, reliable services and adapt to physical and logistical needs.
Together, these three aspects of self-custody—algorithms, relations, and machines—allow an organization to operate with high levels of autonomy, security, and sustainability. By safeguarding these essential constructs, the organization builds a foundation that is not only resilient but capable of growing into a decentralized and scalable entity, designed to thrive in a dynamic and evolving landscape.
1. Self-Custody of Algorithms:
At the heart of an organization’s operations are the algorithms that govern its processes, decisions, and systems. The self-custody of algorithms means that the organization maintains full control over the creation, updates, and management of the software that runs its internal and external operations. This involves not only the technical aspects of writing and maintaining code but also the governance around how these algorithms evolve over time.
The key feature of this form of self-custody is transparency and consensus. Every individual within the organization can view and understand the algorithms, and changes or updates are implemented through a consensus-driven process. This ensures that the organization remains adaptable and accountable, with its members having a say in the operations that directly affect them. This decentralized control over algorithms promotes trust and adaptability, two critical elements for long-term resilience.
2. Self-Custody of Relations:
The self-custody of relations refers to the way individuals within the organization act as mutual backups and support systems for one another. Initially, this might take the form of a social recovery mechanism, where individuals rely on trusted peers to recover lost access or secure assets. However, as the organization matures, this mechanism evolves into deeper relationships based on loyalty, trust, and reputation.
By enabling self-custody of relations, the organization fosters a network of interdependence that strengthens the fabric of the collective. Individuals can serve as references or validators for one another, creating a web of trust that enhances both individual and organizational resilience. When combined with the self-custody of the individual, these relational bonds form a decentralized, yet highly stable, structure that ensures the organization remains robust even in the face of challenges or disruptions.
3. Self-Custody of Machines:
The self-custody of machines refers to the organization’s ability to control the physical infrastructure on which its algorithms run. Whether these machines are stationary servers or non-stationary, such as drones or autonomous vehicles, the organization must maintain direct control to ensure the availability, security, and stability of its operations.
Stationary machines serve to power the organization’s software, data storage, and algorithmic processes. By keeping these machines within its control, the organization safeguards its core operations and data integrity. For non-stationary machines, custody becomes even more critical, as these devices may be responsible for delivering physical services to individuals within the network. Control over these machines ensures the organization can provide consistent, reliable services and adapt to physical and logistical needs.
Together, these three aspects of self-custody—algorithms, relations, and machines—allow an organization to operate with high levels of autonomy, security, and sustainability. By safeguarding these essential constructs, the organization builds a foundation that is not only resilient but capable of growing into a decentralized and scalable entity, designed to thrive in a dynamic and evolving landscape.