AutoNavi's independently developed general interactive world model, ABot-World-0, has undergone a significant technological upgrade. Leveraging a novel LongForcing long-range training approach, the model effectively tackles the prevalent industry challenge of image collapse, which often arises when extending the inference duration of world models. ABot-World-0 stands as the world's inaugural product to elevate the continuous inference capabilities of interactive world models from 'minute-level' to 'day-level,' facilitating a stable 24-hour inference process on a single consumer-grade GPU. Presently, the model has been officially open-sourced, and its associated functionalities have been seamlessly integrated into AutoNavi's ABot-World Studio, substantially broadening its applicability across diverse scenarios.