On January 6, at CES 2026, Jensen Huang, the CEO of NVIDIA, made a bold prediction: over the next decade, the majority of cars across the globe will reach a state of autonomous driving or highly autonomous driving. This vision reflects the rapid advancements and immense potential he sees in the field of self-driving technology.

During the event, Huang unveiled the Alpamayo series, a collection of VLA (it's better to define VLA here if it has a specific meaning in the context, like Vision-Language-Action, otherwise keep as is) open-source AI models and tools tailored for autonomous vehicle development. These innovative models are designed to endow autonomous vehicles with human-like cognitive abilities. With this technology, self-driving cars can tackle complex scenario-based problems. For instance, they can make intelligent decisions regarding route planning at intersections where traffic lights are malfunctioning, all without the need for prior training or data labeling. This represents a significant leap forward in the capabilities of autonomous vehicles, bringing us closer to a future where self-driving cars can seamlessly navigate real-world challenges.