With more conversations happening on blockchain platforms, the integration of LLMs like ChatGPT has the potential to enhance user experience and make it more accessible for non-technical users. However, trust and privacy concerns need to be addressed before relying on AI agents to assist with sensitive data like private keys.
While improved smart contract development is possible with GPT-4, the AI model is only as smart as the data it’s been trained on, and developers should be aware that copy and pasting code without understanding its underlying mechanics could lead to bugs or undesirable outcomes.
Decentralized content creation and moderation can benefit from LLMs’ ability to edit and summarize content for specific audiences and to weed out scams in web3 communities. LLMs could also contribute to decentralized AI services like translation and sentiment analysis.
LLMs can help generate personalized text-based NFTs, adding a new dimension to the digital art and collectibles market.
Collaborating with AI agents in education and onboarding is expected to make it easier for new users to understand blockchain technology, cryptocurrencies, and web3 applications.
However, there are still concerns around the ethical use of AI, the privacy of sensitive data, and safety risks if such AI agents become decentralized. While LLMs seem to provide various benefits in the web3 ecosystem, it’s essential to address these concerns to ensure responsible deployment of AI-enabled technologies.
