There’s been a lot of talk lately about whether robotics’ GPT moment could be GPT itself. Astra can already use tools to control robots, build simulations and write control code. That still seems a long way from a GPT moment, but AI is already taking on parts of a robotics engineer’s job. On @genrobotics_ai’s GRID, agents determined that a stirring task needed human demonstrations, requested the data and fine-tuned a policy. When perception couldn’t keep up with a moving beaker during pouring, they fine-tuned and integrated a faster tracker. Those integrations, models and tested fixes stay available for the next task. The team reports about four hours to get the first skill working on a fresh Flexiv setup, with later skills on that same setup deployable in as little as 10–15 minutes. So I don’t think a stronger GPT automatically replaces embodied AI models. The teams building them can use it to train, test and deploy faster. That could help bring the breakthrough closer.