Scott Duke Kominers, a research partner at a16z crypto, has highlighted significant challenges in the infrastructure and mechanism design of prediction markets. In a recent article, Kominers emphasized the unique value of prediction markets in providing real-time probability estimates for future events, which can enhance prediction accuracy by incentivizing participants to invest based on their information. However, he noted that these markets face critical issues such as event verification, contract settlement, and the risk of market manipulation. Kominers argues that addressing these shortcomings is crucial for prediction markets to fulfill their potential as tools for decision-making and information aggregation. By overcoming these challenges, prediction markets could significantly enhance financial and societal capabilities in forecasting future events.