The progress of computer science in recent decades has been immense. The computers that guided the lunar missions of the 1960s had only a tiny fraction of the computing power of any of the smartphones we carry in our pockets today. In the 1980s, quantum computing began to be discussed, but while we are still awaiting its practical availability, it is the everyday electronic computers that have done the job. Perhaps the most spectacular has been how graphics processors (GPUs, for their English acronym), along with the enormous amount of data available on the internet, have enabled the current revolution in artificial intelligence (AI). Generative AI models are today so powerful that they inspire not only a certain respect, but also a bit of fear. There is talk of models that "jump the rails" (in English guardrails); that is to say, the limitations that the engineers who trained them have imposed on them. For example, not explaining how to make bombs, how to commit crimes, etc. If a model jumps over the railings that have been placed on it, does it perhaps have its own objectives, ambitions, consciousness, a personality? Following this path, we will soon come to think that models could stop being our kind slaves and become competitors or even formidable enemies.But can a model really bypass guardrails? The short answer is that, unlike humans, who can decide to break behavioral rules as we please, a model cannot independently bypass the guardrails put in place by its creators or trainers. However, there is a longer answer with more nuances. Indeed, an AI model can behave unexpectedly. This can happen if it finds a way to satisfy the literal instruction it has been given without doing what the human who wrote the instruction had in mind. For example, if