Google AI Research introduced a mechanism design approach to create synthetic datasets based on first principles. This method replaces random generation with structured reasoning to improve model reliability. It targets the data scarcity problem in complex domains. Practitioners can now generate high-fidelity training sets that better mirror real-world logic and edge cases.