dailyai.report

Apple researchers developed a method to create synthetic training trajectories using only API specifications. By treating LLMs as digital world models, the system simulates stateful environment interactions without requiring executable backends or databases. This removes the infrastructure bottleneck for scaling API-calling agents. Practitioners can now generate high-quality training data without building full environments.