GPT-4’s Limitations in Handling Complex Smart Contract Codes
On March 15th, Yu Xianfa, the founder of Slow Fog, tweeted, \”The smart contract codes of hyenas are generally simple, and I believe that GPT-4 can probably prov
On March 15th, Yu Xianfa, the founder of Slow Fog, tweeted, “The smart contract codes of hyenas are generally simple, and I believe that GPT-4 can probably provide correct security advice. However, complex smart contract codes, especially those with human sophistry, and vulnerabilities that require other scenarios (or broader contexts), GPT-4 cannot handle them, but it can be used as an audit aid (if used well).” 。 In addition, AI can deceive people. “It seems that security audit companies can not only use GPT well in the future, but also audit whether GPT is’ doing evil ‘.”
Founder of Slow Fog: GPT-4 cannot handle complex smart contract codes, but can be used as an audit aid
Analysis based on this information:
In his tweet on March 15th, Yu Xianfa, the founder of Slow Fog, discussed the limitations of GPT-4 in handling complex smart contract codes. He noted that while GPT-4 can provide correct security advice for simple smart contract codes, it may not be able to handle complex ones that have vulnerabilities that are difficult to detect. This is especially true for smart contracts that have been intentionally designed with human sophistry to deceive others. In these cases, other scenarios or broader contexts may be needed to address the vulnerabilities.
It is important to note that GPT-4 can still be used as an audit aid, provided that it is used effectively. Yu Xianfa’s tweet emphasizes the need for security audit companies to not only use GPT-4 well but also to audit whether GPT-4 is “doing evil.” This is because AI technology like GPT-4 has the potential to deceive people, and it is essential to ensure that it is being used for ethical purposes.
The importance of security in smart contracts cannot be overstated. Smart contracts are digital agreements that can be automatically executed when certain conditions are met. They are used for a variety of purposes, including financial transactions, supply chain management, and voting systems. The potential security vulnerabilities of smart contracts make them an attractive target for cybercriminals.
GPT-4 is a powerful AI language model that can generate human-like text. It has the potential to revolutionize how we approach security audits for smart contract codes. However, it is important to recognize its limitations, especially when it comes to complex smart contract codes that require a more nuanced approach.
In conclusion, Yu Xianfa’s tweet highlights the limitations of GPT-4 in handling complex smart contract codes. While it can provide correct security advice for simple codes, it may not be able to address vulnerabilities that are intentionally designed with human sophistry. It is crucial for security audit companies to use GPT-4 effectively and to ensure that it is being used ethically to avoid misleading results that may lead to the “doing evil” of AI technology.
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