Generative simulators allow AI agents to learn their jobs safely

As AI systems increasingly shift from answering questions to carrying out multi-step work, a key challenge has emerged. The static tests and training data previously used often don't reflect the dynamic and interactive nature of real-world systems. That’s why Patronus AI today announced its ‘Generative Simulators,’ adaptive simulation environments that can continually create new tasks and scenarios, update the rules of the world in a simulation environment, and evaluate an agent's actions as it learns. Agents that look strong on static benchmarks can stumble when requirements change mid-task, when they must use tools correctly, or when they need to stay… [Continue Reading]