Theoriq raised $78 million in its initial offering, creating a stark contrast in market enthusiasm. Currently, I am ranked first among Chinese participants and fourth overall 🙏 I hope to continue supporting @TheoriqAI. Before its launch, let me discuss this deeply structured economic model 👇 The ancients spoke of the three principles, which are the foundation of human relationships; without principles, everything becomes chaotic. With the arrival of the AI Cambrian explosion, AI Agents can help us handle transactions, but AI is not a real person; it does not know right from wrong or reflect on itself. Without institutional rules and incentives, these AI agents can only repeatedly make mistakes in an ungoverned network, increasing costs. Thus, @TheoriqAI has established on-chain order. The core of this order is a three-tier structure: $THQ, sTHQ, and αTHQ. > THQ is the base currency. > sTHQ is staked THQ, and holders earn protocol profits through staking. > αTHQ can only be empowered to agents if generated after being locked up. Once an αTHQ is granted to an agent, it becomes a credit stake for the agent's actions. If an agent makes a mistake, defaults, or is deemed a poor node by the system during operation, the bound αTHQ will face punitive destruction, along with the loss of its underlying sTHQ. The design of the locking and profit-sharing in this three-tier structure shows that the true goal is to make the entire AI system no longer reliant on trust and tacit understanding, but rather to complete the responsibility allocation of the agent network through institutional power mapping and economic constraints. This is also the fundamental design principle of #Theoriq: > Empower agents with power, but that power must be granted through staking. > Allow agents to have operational space, but all actions must be traceable and accountable. > Let the network grow on its own, but every step of evolution is driven by incentives and penalties.