@elonmusk The idea of integrating memory, CPU, GPU, Northbridge and Southbridge is quite good. To optimize for the optimal path, a new CPU architecture must be adopted; the best recommendation is to use a RISC-V architecture CPU for integration.
I'm delighted to share a newly released technical report from our engineering team on the latest advances in world models. XPENG X-World is a physics AI system that can "think through" driving scenarios. It simulates and predicts how road conditions will evolve seconds into the future, based on real-time road environments and driving maneuvers.
XPENG X-World has already become a foundational enabler across key pillars of our autonomous driving development, including closed-loop simulation testing, reinforcement learning, and targeted data generation. For example, leveraging its core capability of controllable generation, X-World is focused on improving the performance of our VLA 2.0 in challenging scenarios such as sudden pedestrian dart-outs at intersections and hesitation during lane changes in congested traffic. Meanwhile, X-World generates region-specific overseas driving data for model training, accelerating the global rollout of XPENG's autonomous driving technology.
Please dive into the full details in our technical report: https://t.co/Bua50tBv4i