Generative Pre-Trained Transformers (GPTs) are hyped to revolutionize robotics. Here we question their utility. GPTs for autonomous robotics demand enormous and costly compute, excessive training times and (often) offboard wireless control. We contrast GPT state of the art with how tiny insect brains have achieved robust autonomy with none of these constraints. We highlight lessons that can be learned from biology to enhance the utility of GPTs in robotics.

翻译：生成式预训练Transformer（GPT）被过度炒作，声称将彻底改变机器人学。本文质疑其实际效用。用于自主机器人的GPT需要巨大且昂贵的计算资源、过长的训练时间，并且（通常）依赖离机无线控制。我们将GPT的最新技术与微小昆虫大脑实现稳健自主性的方式进行了对比，后者完全不受这些限制。我们强调可以从生物学中汲取经验，以提升GPT在机器人学中的实用性。