On January 5, 2026, during CES 2026, Jensen Huang, the CEO of NVIDIA, took the stage to introduce the Alpamayo series. This new offering encompasses open - source AI models, simulation tools, and datasets, all with the express purpose of expediting the development of inference - based safe autonomous driving technology.

The Alpamayo series stands out for its adoption of a pure vision, end - to - end architecture. What makes it even more appealing to the developer community is that it provides open - source access to model weights, inference scripts, and corresponding datasets. According to the plan, this cutting - edge technology will make its debut in the new Mercedes - Benz CLA model later in 2026.

In response to this development, Elon Musk, the CEO of Tesla, shared his insights. He pointed out that attaining 99% accuracy in autonomous driving systems is, in a relative sense, not overly challenging. However, the real hurdle lies in addressing rare edge cases, also known as long - tail problems. These are the scenarios that don't occur frequently but can have significant consequences. Musk emphasized that overcoming these challenges demands an enormous volume of real - world data and an incalculable number of iterations to ensure the safety and reliability of autonomous driving.