Tejal Patwardhan discusses AI evaluation progress

Traditional static benchmarks are obsolete, meaning the future of AI measurement must transition to interactive, complex environments. Standard static benchmarks are increasingly gamed or saturated, making them less useful for tracking real frontier progress. Effective evaluations must now serve as dynamic forecasting tools to measure model capabilities and safety risks before deployment.