直击CES丨NVIDIA开源Alpamayo系列AI模型及工具，黄仁勋：物理AI的ChatGPT时刻已然到来

Core Insights - NVIDIA has launched the Alpamayo series of open-source AI models, simulation tools, and datasets at CES 2026, aimed at advancing the development of safe and reliable reasoning-based autonomous driving vehicles [1][2][3] Group 1: Challenges in Autonomous Driving - Autonomous vehicles must operate safely under complex and variable driving conditions, with "long-tail" rare and complex scenarios being a significant challenge for driver assistance systems [1][3] - Traditional driver assistance architectures separate perception from planning, which limits system scalability in unexpected or abnormal situations [3] Group 2: Technological Innovations - The Alpamayo series introduces a VLA reasoning model based on chain-of-thought reasoning, designed to tackle the challenges posed by long-tail scenarios in autonomous driving [1][3] - These systems can progressively simulate rare or novel scenarios, enhancing driving capabilities and interpretability, which is crucial for building a safety trust framework for smart vehicles [3] Group 3: Supporting Tools and Collaborations - The Alpamayo series includes simulation tools and datasets such as Alpamayo 1, AlpaSim, and the Physical AI open dataset, which support the development of vehicles with perception, reasoning, and human-like decision-making capabilities [2][3] - Leading companies in the mobility sector, including Jaguar Land Rover, Lucid, and Uber, along with the autonomous driving research community like Berkeley DeepDrive, will leverage Alpamayo to accelerate the deployment of safe reasoning-based Level 4 systems [4] Group 4: Industry Impact - NVIDIA's CEO Jensen Huang stated that the era of physical AI akin to ChatGPT has arrived, enabling machines to understand the real world, reason, and take action, with autonomous taxis being one of the earliest beneficiaries [4]