As artificial intelligence (AI) powers ahead, the question is no longer if we will integrate AI into core Web3 protocols and applications, but how. Behind the scenes, the rise of NeuroSymbolic AI promises to be useful in addressing the risks inherent with today’s large language models (LLMs).Unlike LLMs that rely solely on neural architectures, NeuroSymbolic AI combines neural methods with symbolic reasoning. The neural component handles perception, learning, and discovery; the symbolic layer adds structured logic, rule-following, and abstraction
source: https://www.coindesk.com/opinion/2025/06/05/whats-next-for-ai-and-web3-neurosymbolic-intelligence