The rise of artificial intelligence (AI) has led many to question if it is just another tech craze that will fade away. However, recent benchmarking tests conducted by CatId reveal just how far GPT-4 has come, suggesting it could transform the web3 ecosystem.
CatId conducted a benchmarking test across open-source large language models, including OpenAI’s ChatGPT-3.5 and GPT-4, with a sample of C+ code. The LLMs only detected three out of 13 bugs and identified four false positives across six models, while GPT-3.5 caught seven of the 13 bugs. In contrast, GPT-4 detected all 13 bugs with no false alarms, introducing a significant leap forward in bug detection.
The game-changing implications of GPT-4’s performance includes smart contract deployment in web3 and various other sectors of web2. Web3 connects digital activity and property with financial instruments, and it is essential that all code executed on the smart contracts powering web3 is free from vulnerabilities. A single point of entry for a bad actor can result in billions of dollars being lost within seconds.
The launch of applications such as AutoGPT allows OpenAI to create other AI agents to delegate work tasks. Moreover, it uses Pinecone for vector indexing to store data, allowing access to both long and short-term memory storage. However, technical limitations need to be resolved before AI-managed smart contracts can be deployed to production environments.
In conclusion, the question is no longer whether a flawless AI code writer/debugger is feasible; it is now about the ethical, regulatory, and agency concerns that may arise. GPT-4’s performance in practical situations may not be as impressive as the test results suggest. Nevertheless, AI models like GPT-4 have already reimagined the conversation around tech, and the crypto industry seems primed to leverage its power to create genuinely autonomous and decentralized financial products.
