Chainlink aims to address the problem of AI hallucinations by using a multi-model approach. Instead of relying on a single AI model, Chainlink utilizes AI systems from OpenAI, Google, and Anthropic to analyze financial data. By employing a swarm of AI models and measuring the consensus among them, Chainlink aims to reduce errors and improve the reliability of AI-generated data. The verified data is recorded on the blockchain, making it transparent and secure. Chainlink has collaborated with top financial institutions to test this AI-blockchain system, resulting in a reduction in financial data errors. The method is particularly useful for handling corporate actions, ensuring smoother and error-free transactions. With its decentralized oracle network and blockchain technology, Chainlink guarantees maximum security and tamper-proof corporate data. The initiative aligns with global industry standards and offers cross-chain interoperability, allowing seamless integration with existing financial infrastructure. Chainlink plans to refine its AI training, integrate more data sources, and enhance compliance with corporate action standards to create an automated and scalable financial data processing system.



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