Rubric
Metaintelligence Architecture
Metaintelligence · Architecture · Agent environment
Metaintelligence: why the next level is not the model but the environment
We are used to measuring progress by the size of the model. But a system that carries work for months does not consist of a model: it has relationships between participants, limited resources, a way of reaching agreement and a trail from which any decision can be taken apart. This series is about how such a layer is built and why it sets the ceiling of what is possible more than the next generation of weights does.
Metaintelligence · Agents · Boundaries
The agent as a bounded local world
In most systems an agent is a function with a prompt. Such an agent cannot refuse work, cannot come to an end and cannot run out of resources. Yet it is precisely being bounded that makes a participant fit for an environment where nobody controls everyone.
Metaintelligence · Protocols · Relationships
A link as a first-class object, not a message queue
In most systems the link between participants is invisible: there are calls, there is a queue, there is a shared channel. Make the relationship an object in its own right, with its own state and history, and things appear that do not exist otherwise: the ability to reach an agreement, revise its terms and part cleanly.
Metaintelligence · Topology · Self-organisation
Living graph: when topology is a consequence of work, not a design
An architecture diagram goes out of date the moment it is drawn. A living graph is an attempt to close the gap between the diagram and the system: links here are not designed in advance but arise from the participants’ local decisions, and disappear when they stop being useful.
Metaintelligence · Consensus · Fault tolerance
Consensus without a centre: deciding together without taking anyone’s word for it
As long as a system has a master node, the question of a shared decision does not arise: the master decides, the rest carry it out. As soon as there is no master, or it cannot be trusted unconditionally, a problem appears that ordinary agent set-ups simply do not deal with.
Metaintelligence · Resources · Constraints
Agent economics: why autonomy needs a budget
The most reliable limit on behaviour is not an instruction in the prompt but a resource that runs out. When every action and every thought is debited from an account, “don’t do anything unnecessary” stops being a request and becomes the physics of the environment.