If you were driving on an unmarked, unbarricaded bridge that Google Maps directed you over in a dark and rainy night, are you 100% certain you'd be driving slowly, undistracted, and checking to make sure the bridge isn't collapsed?
This analogy doesn't work because you can assume that by a bridge existing, and not having traffic cones/barriers, it's probably built by humans and is fit for use (ie. isn't half built). The same doesn't exist for LLM outputs, which is wholly generated by AI. If I was in some simulation where the environment is vibecoded by AI, I'd be very careful too.
This analogy doesn't work because you can assume that by a bridge existing, and not having traffic cones/barriers, it's probably built by humans and is fit for use (ie. isn't half built). The same doesn't exist for LLM outputs, which is wholly generated by AI. If I was in some simulation where the environment is vibecoded by AI, I'd be very careful too.