MIT’s study revealing ChatGPT’s cognitive harms—memory impairment and reduced critical engagement—warns against over-reliance in crypto education. As blockchain concepts grow complex, learners increasingly use AI for coding tutorials or market analysis. The research suggests this may hinder deep understanding of consensus mechanisms or smart contract vulnerabilities, creating skill gaps.
For developers, dependency on AI-generated Solidity code risks introducing unchecked vulnerabilities, as seen in recent DeFi hacks. Traders using ChatGPT for market predictions face amplified risks when models hallucinate token metrics. The findings advocate for balanced AI use supplemented by foundational learning.
Crypto educators may respond by restructuring courses to emphasize hands-on debugging and security audits. Projects like Ethereum’s Devcon could integrate workshops on AI-assisted coding ethics, ensuring tools enhance rather than replace expertise. This aligns with industry pushes for formal certification in Web3 development.
