The output for a given input cannot be independently calculated as far as I know, particularly when random seeds are part of the input.

The system gives a probability distribution for the next word based on the prompt, which will always be the same for a given input. That meets the definition of deterministic. You might choose to add non-deterministic rng to the input or output, but that would be a choice and not something inherent to how LLMs work. Random 'seeds' are normally used as part of deterministically repeatable rng. I'm not sure what you mean by "independently" calculated, you can calculate the output if you have the model weights, you likely can't if you don't, but that doesn't affect how deterministic it is.

The so what means trying to prevent certain outputs based on moral judgements isn’t possible. It wouldn’t really be possible if you could get in there with code and change things unless you could write code for morality, but it’s doubly impossible given you can’t.

The impossibility of defining morality in precise terms, or even coming to an agreement on what correct moral judgment even is, obviously doesn't preclude all potentially useful efforts to apply it. For instance since there is a general consensus that people being electrocuted is bad, electrical cables normally are made with their conductive parts encased in non-conductive material, a practice that is successful in reducing how often people get electrocuted. Why would that sort of thing be uniquely impossible for LLMs? Just because they are logic processing systems that are more grown than engineered? Because they are sort of anthropomorphic but aren't really people? The reasoning doesn't follow. What people are complaining about here is that AI companies are not making these efforts a priority, and it's a valid complaint because it isn't the case that these systems are going to be the same amount of dangerous no matter how they are made or used.