Study Suggests GPT-6 Astra's Robot Capabilities May Stem from Specialized Training

A recent study indicates that GPT-6 Astra's demonstrated robotics capabilities likely result from specialized training on specific robot hardware rather than emerging naturally from general intelligence. Researchers tested 50 models, including GPT-6 Astra, GPT-6.1 Sol, and Gemini Argon, on forward and inverse kinematics tasks using both real (Franka Panda) and synthetic robot parameters. The study found that these three models performed well on Franka Panda but failed to generalize when given different Denavit-Hartenberg parameters for a new seven-degree-of-freedom robot, instead predicting results consistent with the Franka Panda's specific kinematic features. This suggests the models may have memorized specific robot structures rather than learning universal kinematic laws. The research team has released their code and experimental records on GitHub for community verification.