- Chainlink introduces a multi-model AI strategy with the help of systems such as OpenAI, Google and Anthropic to significantly reduce AI-Hallucinations in financial data processing.
- By using blockchain and a decentralized Oracle network, Chainlink wants to set up a safe, transparent and uniform ‘Golden Record’ for verified financial information.
Chainlink has entered A daring new strategy to tackle a major problem in artificial intelligence – AI -Hallucinations. When large language models (LLMS) incorrectly interpret or manufacture data, the consequences can be expensive, especially in finance. Instead of being dependent on a single AI model, Chainlink uses a multimodel approach, which applies AI systems from OpenAi, Google and Anthropic.
Can Chainlink help solve the AI -Hallucination problem?
Laurence Moroney, Chainlink -adviser and former AI -Lead at Google, about how Chainlink implemented a new technique to overcome the risks of hallucination:… pic.twitter.com/1WHMSepd1p
– Chainlink (@chainlink) 11 February 2025
Laurence Moroney, Chainlink -adviser and former AI -Lead at Google, explained that the use of multiple AI models instead of trusting one helps to reduce mistakes. Each AI model receives a different prompt to analyze the same financial data. He said:
Instead of trusting a single prompt on a single LLM, the idea was to have a swarm of LLM-Prompt combinations to produce different results. The consensus can then be measured. If they all produced the same result, we can start trusting it.
The system records the verified data on the blockchain, making it transparent, unchangeable and safe. This consensus-driven method prevents incorrect information from corrupting critical financial data, which strengthens the reliability of data generated by AI.
Source: Chainlink
Chainlink AI wants to beat financial errors that cost $ 3-5 million annually
Errors in business activities cost companies everywhere from $ 3 million to $ 5 million a year. In extreme cases, companies have losses up to $ 43 million ago due to poor financial data. Chainlink’s approach is intended to change that by reducing manual data revision and improving financial accuracy.
In a recent collaboration with financial institutions-inclusive UBS, Franklin Templeton, Wellington Management, Vontobel and Sygnum Bank, Chainlink tested this AI-blockchain system. The results proved promising, which demonstrated a reduction in financial data errors and inefficiencies.
The method is particularly favorable in dealing with business actions, whereby companies announce events such as dividends, mergers or stock splits. AI extracts that data and converts it in a structured, machine -readable format that is known as JSON, making financial transactions smoother and flawless.
Chainlink’s “Golden Record” with AI -Validation – No more fragmentation
The Chainlink initiative introduces what the industry calls a “Unified Golden Record” – a single, verifiable source of structured financial data stored over several block chains. This eliminates fragmented records, giving banks, investors and asset managers access to accurate data on business actions without superfluous manual processing.
An important part of this system is Chainlink’s Decentralized Oracle Network (Don), which performs multiple AI models to validate financial data. OpenAI’s Chatgpt-4O, Google’s Gemini 1.5 Pro and Claude 3.5 Sonnet from Anthropic analyze each business actions independently. If inconsistencies arise, the system marks them, thereby preventing misleading data to introduce financial workflows.
Blockchain technology plays a crucial role in guaranteeing maximum security. By saving cryptographically verified financial reports on the chain, Chainlink guarantees that company data is amoted, transparent and synchronized with various market participants.
Cross -border cooperation between industry
Chainlink not only works with financial companies, it is in accordance with the global industrial standards to guarantee seamless integration. Settings such as DTCC, Clearstream and Euroclear are on board and ensure that the structured data generated by AI are compatible with traditional financial message protocols such as Swift.
For even broader accessibility, Chainlink’s Cross-Chain Interoperability Protocol (CCIP) enables financial institutions to draw structured business action data from multiple blockchain ecosystems. This enables banks and asset managers to access real -time, verified data using existing financial infrastructure without costly overhaul.
Looking ahead, Chainlink is planning to refine his AI training to further minimize hallucination risks. The initiative will also integrate more data sources and improve compliance with company standards, including CAJWG and Score. The long -term vision is to create an automated, scalable financial data processing system that transforms the global financial sector.