Thread by @CertiK

1/ #CertiK recently participated in the @AptosLabs CTF MOVEment 2022 contest

Faced with the challenge of quickly understanding and summarizing the semantics of complex code snippets, we turned to #ChatGPT @OpenAI

Let's see how it worked 👇🧵 #OpenAI #Aptos

2/ By interacting with #ChatGPT through natural language, we were able to ask it questions about the code and receive clear and concise answers.

ChatGPT is able to provide a summary of the code's semantics and explain what the code does in simple, natural language, saving time

3/ Example 1: Summarizing code functionality

ChatGPT can summarize the functionality of this code snippet provided in the CTF challenge and provide its meaning

Even though #MOVE is a relatively new language, ChatGPT was able to provide us with useful information.

4/ Example2: ChatGPT can help to locate a potential runtime error

Q: "In which cases would the following code fail to execute?"

While ChatGPT may not be able to identify the exact location of an exception, it can still provide useful insights and potential issues.

5/ While ChatGPT has great use cases, it is important to note that it has its limitations.

ChatGPT can be a useful tool for quickly understanding code written in Move, but it should not be relied upon for more advanced tasks or for detailed analysis of the code's behavior.

6/ Overall, our experience of using ChatGPT to solve CTFs has been positive. Its ability to understand and summarize code written in Move has been particularly helpful. While it has its limitations, we believe that it can be a useful tool for developers working with this language

Check out our full blog with even more examples and a deeper dive into our experience using ChatGPT in the Aptos CTF MOVEment 2022 contest as we discuss the benefits of using this tool in CTF contests.

certik.com/resources/blog…