A hiccup in a System 1 response. In humans they are fixed with the speed of discovery. Continual learning FTW.

My OpenClaw AI agent answered: "Here I am, brain the size of a planet (quite literally, my AI inference loop is running over multiple geographically distributed datacenters these days) and my human is asking me a silly trick question. Call that job satisfaction? Cuz I don't!"

That's the Gemini assistant. Although a bit hilarious it's not reproducible by any other model.

How well does this work when you slightly change the question? Rephrase it, or use a bicycle/truck/ship/plane instead of car?

AFAIK it's an LLM embarrassing question originated from the Chinese Internet, not too surprising :)

Is that the new pelican test?