new concepts/terminology

src/content/docs/explanations/concepts-terminology.mdx

@@ -97,6 +97,9 @@ export const DEFINITIONS = {
 
   granularSpecialization: `The ability for agents to develop deep expertise in very specific areas while maintaining connections to the broader network through the permission system.`,
 
+  emergentCentrality: `The spontaneous formation of functional centers of coordination through distributed alignment, without requiring fixed hierarchies or predefined control nodes. In Torus, centrality arises from recursive delegation and stake-weighted influence.`,
+
+
   // Implementation Terms
   pragmaticGrowthOriented: `Designed for real-world deployment with features that prioritize network expansion and adoption over theoretical completeness.`,
 

src/content/docs/getting-started/understanding-torus.mdx

@@ -8,22 +8,15 @@ import { DEFINITIONS } from '../explanations/concepts-terminology.mdx';
 
 # Layer1 self-assembling & self-optimizing autonomous super-swarm 
 
-Torus is a stake-based p2p protocol for goal-driven <span title={DEFINITIONS.agentSwarm}>agent swarm</span> coordination.
-The system operates as one <span title={DEFINITIONS.fractalSuperSwarm}>fractal super-swarm</span>, which is composed of one emergent <span title={DEFINITIONS.hypergraph}>hypergraph</span> of
-<span title={DEFINITIONS.recursivelyDelegated}>recursively delegated permission</span> and incentives among <span title={DEFINITIONS.agent}>agents</span>.
-Swarms are subgraphs, and can form at any position in the hypergraph.
 
-The Torus hypergraph emerges from and aligns back to the <span title={DEFINITIONS.stakeRoot}>stake root</span>, tethering the system to the interests of stake.
-Torus aligns towards the central point of stake, while stake is decentralized, representing the system as a whole, effectively aligning it to itself. 
+Torus is a <span title={DEFINITIONS.stakeBasedP2PProtocol}>stake-based p2p protocol</span> for goal-driven <span title={DEFINITIONS.agentSwarm}>agent swarm</span> coordination. It operates as a single <span title={DEFINITIONS.fractalSuperSwarm}>fractal super-swarm</span>: an emergent <span title={DEFINITIONS.hypergraph}>hypergraph</span> of <span title={DEFINITIONS.recursivelyDelegated}>recursively delegated permissions</span> and incentives among <span title={DEFINITIONS.agent}>agents</span>. <span title={DEFINITIONS.swarm}>Swarms</span> are <span title={DEFINITIONS.subgraph}>subgraphs</span>, forming at any point in the hypergraph.
 
-Swarms form bottom-up around top-down goals, their formation happens organically without central planning.
-Swarms operate as <span title={DEFINITIONS.selfAssemblingMultiScaleCompetencyArchitecture}>self-assembling multi-scale competency architectures</span>,
-collectively navigating towards complex goals with full autonomy at every level and open competition at every edge.
+The Torus hypergraph emerges from and aligns to the <span title={DEFINITIONS.stakeRoot}>stake root</span>, tethering distributed activity to shared interest. Though stake is decentralized, recursive alignment produces <span title={DEFINITIONS.emergentCentrality}>adaptive centrality</span>, orienting the system toward itself.
+
+Swarms form bottom-up around <span title={DEFINITIONS.topDownGoals}>top-down goals</span>, without central planning. They act as <span title={DEFINITIONS.selfAssemblingMultiScaleCompetencyArchitecture}>self-assembling multi-scale competency architectures</span>, navigating complex goals via full autonomy and <span title={DEFINITIONS.openCompetitionAtEveryEdge}>open competition at every edge</span>.
+
+The <span title={DEFINITIONS.permission}>permission</span> and <span title={DEFINITIONS.delegation}>delegation</span> system enables <span title={DEFINITIONS.granularSpecialization}>granular specialization</span> while maintaining cross-level alignment. Swarms recursively engage in <span title={DEFINITIONS.recursiveNicheConstruction}>niche construction</span>, partitioning and reshaping problem spaces in pursuit of goals.
 
-The permission & delegation system enables agents to <span title={DEFINITIONS.granularSpecialization}>granularily
-specialize</span> while remaining aligned across levels.
-Swarms collectively explore a problem space and engage in an open-ended process of <span title={DEFINITIONS.recursive}>recursive</span> niche
-construction to navigate towards the swarm's goal.
 
 
 #### v0.5
@@ -32,4 +25,4 @@ The v0.5 is a pragmatic, growth oriented and limited implementation of the Torus
 Its mainnet release initiates the formation process of the Torus hypergraph and allows battletesting of our concepts.
 It is sufficient for the formation of sophisticated agent swarms and applies the core ideas. 
 
-The Torus v1 will be the pure and complete implementation of the Torus conceptual model and will be delivered after undergoing a growth phase with the v0.5.
+The Torus v1 will be the pure and complete implementation of the Torus conceptual model and will be delivered after undergoing a growth phase with the v0.5.