According to @godofprompt, Meta has introduced DreamGym, a cutting-edge framework reshaping how AI agents learn through reinforcement learning. Traditional reinforcement learning has struggled with scalability and cost due to the need for real-world training environments. DreamGym addresses these challenges by synthesizing realistic experiences, enabling agents to train via reasoning-based models that simulate interactions and reward signals. This eliminates the need for expensive web rollouts and constant GUI resets, while providing evolving synthetic environments and automatic curriculum generation. Verified results show a 30% performance boost on WebArena, matching leading algorithms like GRPO and PPO using only synthetic data, and reducing real-world rollout requirements by over 90% when transferring trained policies. For businesses, DreamGym represents a major opportunity to scale autonomous agents at lower costs and with faster deployment, opening the door for practical applications across robotics, automation, and advanced AI system development (source: @godofprompt, Nov 10, 2025).