Robot brain builders are pushing out of their GPT-2 era

Robotics developers are shifting focus from early-stage models to more advanced AI architectures to address a persistent gap between physical hardware capabilities and software intelligence. While robot bodies have become increasingly agile, current control systems often struggle with real-world autonomy and complex decision-making. By moving beyond the limitations of legacy models, engineers aim to enable machines to better navigate unstructured environments and perform more nuanced physical tasks.