DMind AI: No AI Safe for Web3's Highest-Stakes Tasks

No AI system is currently ready for Web3's highest-stakes tasks. This is the verdict from the first peer-reviewed Web3 AI benchmark, which tested 31 top models, including GPT-5, Claude, and Gemini. DMind AI, in collaboration with researchers from Zhejiang University and Nanyang Technological University, announced their research paper has been accepted at KDD 2026. This conference is considered the world's most prestigious venue for AI and data science research. The benchmark evaluated 31 leading AI systems across 3,543 expert questions. The results show that performance collapses in safety-critical domains like security vulnerability detection and token economics reasoning. This is where AI failure can lead to irreversible financial loss. No model is production-ready, and genuine multi-step reasoning cannot be faked by memorization. The bottom line: current AI models are not yet safe for unsupervised deployment in Web3's most critical workflows, which has billions of dollars at stake.