Scaling the Sandbox: When LLM Agents Need Better Worlds
Opening — Why this matters now LLM agents are no longer failing because they cannot reason. They fail because they are trained in worlds that are too small, too brittle, or too artificial to matter. As agents are pushed toward real-world tool use—databases, APIs, enterprise workflows—the limiting factor is no longer model size, but environment quality. This paper introduces EnvScaler, a framework arguing that if you want general agentic intelligence, you must first scale the worlds agents inhabit. ...