WorldLab

WorldLab: Green Frontier is an interactive 3D research environment where an AI scientist learns to manage a desert farm. Agronomy teams face connected decisions: which crops to grow, how to allocate limited water and energy, and how to respond when field observations contradict expectations. WorldLab brings these decisions into one experimental workflow. On a simulated 12-hectare farm near Al Ain, users choose among ten crops across six fields. Muse Spark designs trial plots, updates its understanding of local crop traits, plans the season, and uses tools to train and evaluate an irrigation policy. During the season, it monitors observations, investigates anomalies, and revises its strategy. SAM 3.1 and Muse Spark vision analyse synthetic drone imagery to support investigations. The 3D interface makes the process visible, while a tamper-evident ledger records hypotheses, tests, actions, and outcomes. Users can inspect evidence, approve interventions, compare strategies, and download reports. WorldLab is a transparent testbed for experimental AI. Its evaluation includes scripted baselines, held-out farms, and documented failures. The farm and drone imagery are simulated; one scenario uses NASA POWER weather data. The next step is an advisory pilot with real sensors and an agronomist approving actions.