GPT-6 Astra shows early gains in robot spatial reasoning

On a new robotics benchmark called StationeryBench, GPT-6 Astra completed 7 out of 100 dual-arm robot tasks, while competitor MolmoAct2 completed zero. A researcher described the jump as a "step change" in spatial reasoning.

Why it matters: Even a single-digit success rate is notable here because general-purpose language models have historically struggled with embodied, physical-world tasks. If this generalizes, it suggests frontier LLMs are starting to close the gap with specialized robotics models, a prerequisite for more capable real-world agents.