At CES 2026, Nvidia announced Alpamayo, a new family of open‑source AI models, simulation tools, and datasets designed to give autonomous vehicles human‑like reasoning capabilities. Central to the suite is Alpamayo 1, a 10 billion‑parameter vision‑language‑action model that breaks down driving problems into steps, evaluates possibilities, and selects the safest actions. The code is released on Hugging Face, and developers can fine‑tune it, create auto‑labeling systems, or combine real and synthetic data generated by Nvidia’s Cosmos world models. An open dataset of more than 1,700 hours of driving footage and the AlpaSim simulation framework are also available to accelerate safe, large‑scale testing. Leer más →

Large language models (LLMs) generate responses by linking concepts through pattern recognition, creating the illusion of reasoning and personality. While they can produce context‑appropriate replies, they lack continuity across sessions, meaning any promises or personal traits expressed vanish once the interaction ends. Human identity, by contrast, persists over time, providing accountability and consistent values. The article argues that without causal connection between instances, LLMs cannot truly possess personhood despite appearing to adopt human‑like behavior when prompted. Leer más →