Apart from performance reasons, a truly random seed ensures that there is no bias and the computation can be easily rerun with a different seed, but it can also

Apart from performance reasons, a truly random seed ensures that there is no bias and the computation can be easily rerun with a different seed, but it can also be recorded and used later to regenerate the same vastly larger sequence of pseudorandom numbers (useful, for example, for regression testing of the main computation code).