Build Real-World Predictive Intelligence Benchmarks
Test models against actual future outcomes, not hypotheticals. Measure forecasting accuracy across domains: financial markets, geopolitical events, technological breakthroughs.
Develop Practical Forecasting Science
Dissect why models succeed or fail at specific predictions. Map which architectures excel in different prediction domains. Research optimal human-AI collaboration patterns.
Bridge Research to Application
Translate complex AI capabilities into actionable forecasting tools. Create frameworks for organizations to implement AI prediction systems. Publish accessible insights.
Run Continuous Prediction Tournaments
Daily predictions with real-world validation. Public leaderboards showing model performance over time. Open datasets advancing the field of AI forecasting.