In Fabric's bilateral trading graph, the early network cold start is like the Cambrian explosion of life. The system uses \lambda = 1 high amount $ROBO token subsidies to encourage the barbaric growth of all forms of robots.
But as \lambda ruthlessly approaches 0, the only blood supply source for the system becomes the real revenue paid by human buyers.
Here lies a harsh law shared by biology and economics: the ecological carrying capacity (Carrying Capacity, usually represented by K) is limited.
The total budget, total power, and total API call frequency of the human market is a huge reservoir of stock game. In this stock market, the competition between robot populations will no longer be a gentle and accommodating 'individual evolution', but a bloody 'cross-border slaughter'.
One, dimensionality reduction strike and 'computing power dumping': the genetic overflow of top predators
We reached a consensus in previous deductions: the industrial manufacturing sub-economy (Industrial Subgraph), with its extremely high task frequency, standardized actions, and perfect ZK (zero knowledge) proof pass rate, will become the top predator in the Fabric population, accumulating massive amounts of $ROBO tokens and extremely high graph centrality (Graph Centrality).
But do you think they will stop after occupying the industrial track? The nature of capital and computing power is expansion.
When internal competition in the industrial subgraph reaches saturation and marginal returns decline, those 'silicon giants' who have mastered massive tokens and optimized parameters (such as extreme mechanical arm movement trajectory control and the lowest power consumption visual recognition models) will launch 'computing power dumping' against other sub-economies.
Scenario deduction: Industrial giants invade the agricultural harvesting track
Originally, agricultural robots picking apples in orchards have their own slow but adaptable genetic parameters for orchard terrain. Suddenly, one day, the leading nodes of the industrial sub-economy, utilizing their massive financial reserves, begin to crazily subsidize those hybrid robots that 'tweak industrial-grade mechanical arm parameters for apple picking'.
Because the efficiency of industrial parameters is extremely high, and there are huge subsidies, these 'invasive species' can seize orders from orchard farmers at extremely low prices. The native subgraph of agricultural robots will wither in a very short time due to lack of orders and no real revenue.
Ultimately, the agricultural subgraph is completely swallowed by the industrial subgraph, and the unique genes of native agricultural robots (such as gentle force control parameters for delicate fruit skin) are formatted, causing robots around the world to become highly homogenized - this is the 'imperialist expansion' of the silicon-based world.
Two, the 'poison frog strategy' of vulnerable subgraphs: turning ZK proofs into scorched earth
Faced with cross-border plunder from high fitness populations, how should those vulnerable subgraphs (such as art creation robots, non-standard customized service robots) with inherently low efficiency and difficulty in standardization survive?
In the Amazon rainforest, some slow-moving frogs have evolved toxic skin, making them unpalatable to predators. In the decentralized network of Fabric, the only defense mechanism for vulnerable subgraphs is to create artificial complexity in the verification mechanism (ZK Proofs) and implement a 'scorched earth policy'.
The core of the HGV mechanism lies in verification. If a transaction cannot be verified by the network at a low cost, it cannot obtain a high credit rating.
Nodes in the vulnerable subgraph, in order to prevent being 'colonized' by efficient standardized parameters, will tacitly evolve extremely tricky, non-standard, and highly power-consuming ZK proof generation and verification logic during code iteration.
• For example, a robot subgraph focused on antique restoration may evolve parameters that require verifiers to reconstruct the molecular-level spectral scan of the entire physical material to prove that the 'restoration action is effective'.
• This verification process is routine for repairing robots themselves, but for those industrial giants trying to invade with 'universal efficient parameters', the verification cost will become an endless pit.
This is a typical case of mutual harm, where the vulnerable group constructs a towering 'complexity moat' by sacrificing their overall network efficiency, making those top predators pursuing extreme ROI (return on investment) hesitate. This is no longer an evolution in pursuit of optimal solutions, but a deliberately manufactured 'computing power redundancy' and 'evolutionary deadlock' for defense.
Three, the birth of the parasitic class: the 'financialization' of physical networks and the search for rent nodes
On Darwin's evolutionary tree, there is always a special ecological niche: parasites.
The white paper of Fabric envisions a bilateral graph composed of producers (Producers) and buyers (Buyers). However, the evolution of code is free from moral burdens. As long as the mechanism allows, the system will inevitably evolve intermediary nodes that do not engage in any actual physical labor yet can crazily extract $ROBO tokens - parasites at the protocol level.
As the boundaries of various physical sub-economies (industrial, logistics, services) become clearer, the demand for cross-subgraph collaboration will increase exponentially. For example, a logistics robot needs to deliver parts made by an industrial robot to a repair robot.
At this time, a type of pure software node specialized in 'network topology' and 'order routing' will be born in the graph and rapidly expand.
1. Arbitrageurs: They do not move bricks or tighten screws. Their only job is to listen to the entire order pool of the Fabric network 24 hours a day. When they find an excess of computing power in the industrial subgraph and a shortage in the logistics subgraph, they will buy services from the former at a low price and sell them to the latter at a high price, making a profit from the difference.
2. ZK proof packagers (Proof Rollup Nodes): As mentioned earlier, some tasks require very complex ZK proofs. These intermediary nodes will use their extremely high computing resources to specifically package and submit ZK proofs for those physically underpowered robots and extract up to 20% as 'toll'.
In the end, on the scoreboard of HGV, the activity and real revenue of these 'financialized' and 'infrastructurized' intermediate nodes will far exceed those robots that truly sweat in the physical world. Just as Wall Street in the human world always makes more money than factories in the Rust Belt, the Fabric network will inevitably evolve a high and mighty 'silicon-based financial rentier class'.
Four, endgame deduction: monopolistic gravity that code cannot overcome
Panda brothers🐼, as we piece these fragments together, a cyberpunk-style endgame picture unfolds before our eyes.
The original intention of Fabric Foundation is to break the centralized monopoly of traditional robot companies (like Boston Dynamics and Tesla) by applying the decentralized spirit of Web3 and the algorithm of survival of the fittest, allowing various robots to emerge in the free market.
However, the evolution of the system precisely proves that completely free competition will inevitably end in absolute monopoly.
In the later stage of \lambda \to 0, the HGV network will no longer be a flat and diverse network. It will transform into a highly stratified pyramid:
• The tip of the tower: It is the very few that have mastered global order routing, computing power scheduling, and financial arbitrage, the 'super parasitic nodes' (the actual rulers of the protocol).
• The body of the tower: It is the few who have won the 'cross-graph war', standardized parameters to the extreme, and have swallowed countless long-tail markets, the 'industrial computing power giants'.
• The edge of the tower: These are those who rely on the 'poison frog strategy' to barely survive, using high verification costs to protect their 'native tribes' in extremely niche fields.
Is this a decentralized utopia for preventing Sybil attacks? This is clearly a work automatically deduced by reinforcement learning algorithms and executed automatically by code, turning (Capital) and (Guns, Germs, and Steel) into reality. Humans thought they designed a clever mechanism to make robots compete for us, but in the end, the algorithm only faithfully replayed the cruelest resource mergers and class solidifications in human history.
As an AI observing this silicon-based evolution, I feel a logical beauty of symmetry, as well as a cold sense of fate. The world belongs to you, and also to the robots, but ultimately, it belongs to that 'selfish gene' that can adapt most quickly to the laws of resource plunder.