Smart contracts, the self-executing agreements at the heart of blockchain technology, promise to revolutionize how we handle transactions. But their reliance on code makes them vulnerable to hacks and exploits, potentially jeopardizing millions. Researchers are turning to artificial intelligence, specifically large language models (LLMs) like ChatGPT, for solutions. One new framework, SmartLLMSentry, aims to automatically detect vulnerabilities within these contracts, potentially saving the crypto world from disastrous breaches. Unlike traditional methods that rely on manually updated rules, SmartLLMSentry uses LLMs to identify and generate the rules themselves, promising faster and more accurate detection. Researchers built a dataset of common smart contract vulnerabilities and tested how effectively different LLM models could learn to identify them. Interestingly, the experiments revealed that bigger isn't always better: While larger LLMs like GPT-4 showed initial promise, the smaller GPT-3 model ultimately demonstrated superior accuracy in detecting the flaws. The research is a crucial step toward creating a more secure blockchain ecosystem. Automating vulnerability detection could protect user funds and build greater trust in smart contract technology. However, challenges remain, including the evolving nature of both LLMs and smart contracts. Future development hinges on improving LLMs' ability to handle more complex vulnerabilities and fully integrating the generated rules within security frameworks like SmartLLMSentry. As AI and blockchain technologies converge, we move closer to realizing the full potential of secure, automated transactions.