AI agents are getting more capable, but reliability is lagging—and that’s a problem

Princeton researchers have developed new reliability tests for AI agents, highlighting a concerning gap: while AI capabilities are rapidly advancing, reliability benchmarks are largely absent from vendor testing. This creates a dangerous situation where increasingly powerful AI systems are being deployed without proper assessment of their trustworthiness and consistency, potentially leading to unpredictable failures in real-world applications.