That's a bold assumption that openai even knows. Part of the magic of how their large language model works is non-inversion. You cannot take an output and derive backwards to a precise input ad the inputs are no longer present in the tokenization chain that's formed during the learning process. This is a byproduct of all currently language learning models AFAIK. Building in the ability to enable reversible computation would add infathomable complexity in these types of systems.