Quantum-inspired math could teach AI to admit uncertainty

Researchers propose a quantum-inspired mathematical approach that helps large language models detect when they lack reliable information and acknowledge uncertainty instead of generating a convincing but incorrect answer.

• The method draws on quantum-inspired mathematics
• Goal is to make LLMs recognize gaps in knowledge
• Current models produce confident answers without reliable data