Tested one prompt in the playground ("Move the elephant next to the ball") and this is the generated recorded video link:
Approximately the same result as your run. But it was interesting to see that the idle arm seems to have these rhythmic movements across all the prompts I saw on there. Also that one arm, the left one most of the time, is just idling.
For instance, the LLM may have an understanding that the ball is easier for it to pick-up than the elephant (which it seemed to struggle with, which also made it a strange choice for the demo).
How much of an LLM understanding the physical limitations of the robot would help the task be accomplished in a way that satisfies the goal, without following the exact directions.
Hopefully this is like the first GPT models and it gets better over time.