In recent developments surrounding the Agent system, the need for an Agent Oracle—a critical component for assessing real-world states—has become increasingly evident. Large Language Models (LLMs), while powerful in generating text, lack the capacity to verify facts, assess legitimacy, or interpret emerging regulations, rendering them inadequate as “sources of truth.” Traditional oracles, adept at handling structured data, struggle with the complexities of unstructured events and multi-source conflicts. Sora’s pioneering event verification market seeks to fill this gap by utilizing agents to undertake real verification tasks, emphasizing the importance of reputation tied to consistent performance. This approach advocates for a collaborative “truth-seeking market,” enabling diverse expertise to converge for verification. Complementing this is a semantic truth layer, capturing long-term consensus metrics. Together, these structures—event truth, semantic truth, and blockchain settlement—form an essential foundation for a secure AI ecosystem, enabling safe machine interaction with the real world.
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