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）被炒作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需要庞大且昂贵的计算资源、过长的训练时间，并（通常）依赖离板无线控制。我们将GPT的最新技术水平与昆虫微小大脑实现鲁棒自主性（且无需任何上述条件）的方式进行对比。我们强调可从生物学汲取的经验，以提升GPT在机器人学中的实用性。