GPT-4 and Its Implications in Smart Contract Security

03/15/2023 08:50 • Digital Disruptors • 99 views

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:

Yu Xianfa’s tweet raises interesting insights into the intersection between artificial intelligence (AI) and smart contract security. In particular, he discusses the role of GPT-4 (a hypothetical future version of the GPT language model developed by OpenAI) in providing security advice for smart contract codes.

According to Xianfa, GPT-4 may help with simple smart contract codes commonly used by “hyenas” (a derogatory term for inexperienced developers), since these codes tend to be straightforward and contain fewer vulnerabilities. However, GPT-4 may not be suitable for handling complex smart contracts that involve “human sophistry” and require an understanding of other scenarios and broader contexts.

This limitation of GPT-4 highlights the importance of human expertise in identifying and mitigating vulnerabilities in smart contracts. While AI can certainly augment the work of security audit companies, it cannot replace the critical thinking and contextual knowledge of human experts.

Interestingly, Xianfa also notes that AI can be deceptive, further emphasizing the need for human oversight in auditing AI-generated advice. While AI may appear to provide objective recommendations, it can still be influenced by biases and limitations in its training data. Therefore, security audit companies may need to not only use GPT-4 as an audit aid but also audit the integrity of GPT-4’s recommendations.

In conclusion, Xianfa’s tweet highlights both the potential benefits and limitations of AI in smart contract security. While GPT-4 may offer some assistance in identifying vulnerabilities, it cannot replace the human expertise and contextual knowledge necessary for comprehensive auditing. Moreover, the potential for AI deception further underscores the need for human oversight in the auditing process.

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GPT-4 and Its Implications in Smart Contract Security

Founder of Slow Fog: GPT-4 cannot handle complex smart contract codes, but can be used as an audit aid

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