The conversation shifts to the future of training data. Static web‑scraped data is giving way to synthetic data generated by models themselves, especially for reinforcement‑learning environments. Regulatory trends toward data localization also influence where data centers will be built.
Robotics suffers from a lack of high-quality, diverse training data. Marble can synthesize realistic 3-D environments, providing a middle ground between scarce real-world recordings and uncontrolled internet video. By generating controllable scenarios, researchers can train agents that transfer to real robots more effectively.