The field of smart contract security and vulnerability detection is rapidly evolving, with a growing focus on innovative solutions to protect against increasingly sophisticated attacks. Recent developments have seen the introduction of novel approaches, such as the use of large language models and control flow integrity, to enhance the security and reliability of smart contracts. These advancements have the potential to significantly improve the detection and prevention of vulnerabilities, ultimately enhancing the overall security of the blockchain ecosystem. Noteworthy papers in this area include SmartBugBert, which achieves high precision and recall in detecting vulnerabilities directly from bytecode, and Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM, which demonstrates the effectiveness of fine-tuned large language models in detecting non-machine-auditable vulnerabilities. Overall, the field is moving towards more robust and innovative solutions to address the evolving threat landscape in smart contract security.