March 2026 Summaries

Riemann-bench is an advanced mathematical benchmark designed to tackle complex problems at a PhD level, aiming to push the boundaries of AI research beyond standardized tests and high school competitions. Created in collaboration with Ivy League mathematics experts, this benchmark includes 25 unique problems from real research, requiring weeks for independent solutions, and is kept private to ensure unbiased evaluation. Unlike existing benchmarks that constrain models with rigid frameworks, Riemann-bench allows for true, unconstrained AI research, challenging models in a realm far beyond high school-level contests like the International Mathematical Olympiad. Despite the current frontier models scoring below 10% even with advanced tools, the benchmark is seen as a crucial step toward achieving autonomous AI capable of resolving deep mathematical conjectures and understanding the universe. The creators hope Riemann-bench will not only advance AI capabilities but also bring humanity closer to solving profound mathematical mysteries, including the famed Riemann hypothesis.