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XPeng Motors held an AI technology sharing session in Hong Kong yesterday, unveiling its newly developed 720-billion-parameter large-scale autonomous driving model – the "XPeng World" base model. This model features a multi-modal architecture, integrating visual understanding, chain reasoning, and action generation capabilities. It aims to be deployed to vehicle-end devices via cloud distillation technology and simultaneously empower ecological products such as AI robots and flying cars.

Li Liyun, head of intelligent driving at Xpeng Motors, recently disclosed the company's autonomous driving development timeline for the first time, announcing plans to offer pseudo-autonomous driving capabilities on the Max series models by 2025, making Xpeng the first domestic car manufacturer to set a clear timeline for the rollout of autonomous driving. Li stated that Xpeng is currently on the 'eve of unmanned driving'. Based on a firm belief in the Scaling Law of autonomous driving, Xpeng has chosen a pure vision technology route for intelligent driving. He believes that with the accumulation of massive amounts of data and continuous improvement in cloud and vehicle computing power, the transition will be feasible.

On October 24, Xpeng Motors held the 'Xpeng P7+ AI Driving Technology Sharing Conference and the Launch of AI Tianji 5.4.0' in Guangzhou, announcing that the P7+ and subsequent models will come standard with AI advanced smart driving without the need for optional purchases, subscriptions, or additional fees. Dr. Li Liyun, Vice President and Head of Autonomous Driving at Xpeng Motors, emphasized that building a cloud-based large model is the key to success in the smart driving competition. Xpeng Motors chose the same path as OpenAI from the research phase, which is to first build a powerful 'cloud-based large model'.

He Xiaopeng, chairman of Xpeng Motors, recently showcased the company's latest advancements in robotics technology through a video. He announced that Xpeng Motors is no longer limited to development in the Internet sector, and its technology has been successfully applied to the real-world 'hand replacement' robots.