Agents Need Worlds, Not Prompts: Inside ScaleEnv’s Synthetic Environment Revolution
Opening — Why this matters now The past two years of agent research have been oddly paradoxical. Models have grown more capable, benchmarks more elaborate, yet agent failures remain stubbornly familiar: brittle tool calls, shallow exploration, and a suspicious tendency to memorize solution templates. The culprit, ScaleEnv argues, is not the agent—but the world it is trained in. ...