Distributed Intelligence Execution

Arc402 runs all intelligence computations in a fully decentralized manner. Instead of relying on a single server or node, tasks are distributed across multiple nodes in the network. This ensures that the system does not have any single point of failure and can maintain high performance even under heavy load.

Each node contributes part of the computation, and the results are combined to produce the final AI output. This approach allows the network to scale smoothly as more nodes join, while also making the system resilient to outages or attacks.

const tasks = TaskQueue.getPendingTasks();

// Distribute tasks to multiple nodes
tasks.forEach(task => {
    Network.assignNode(task).then(node => {
        const result = node.process(task);
        Network.collectResult(result);
    });
});

// Combine results from all nodes
const finalOutput = AI.aggregateResults(Network.getAllResults());
console.log("Final AI output from decentralized computation:", finalOutput);

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