Summary
TLDR: Authenticating inputs to large language models (LLMs) is important to ensure they are trustworthy for their intended purpose, such as refunding ticket purchases. By only accepting inputs from reliable sources, the risk of receiving adversarial inputs can be reduced.
Key Points
1. Authentication of inputs to LLMs is crucial for ensuring that inputs are trustworthy and reliable for a specific purpose, such as refunding ticket purchases based on weather and airline information.
2. Using pointers to trustworthy external sources, rather than raw natural-language requests, can help filter out adversarial inputs and improve the overall security and reliability of smart contracts.
3. By implementing authentication measures for inputs to LLMs, developers can enhance the integrity and effectiveness of their smart contracts while mitigating potential risks associated with malicious or inaccurate data inputs.