Yes, I meant when working on the same thing (which has a specific value as a whole).
If the LLM and its output are based on 10^12 hours of work, out of which 10^6 is working on the code of the LLM itself and 10^12-10^6 (so roughly still 10^12) is working on the training data, does it make sense for only those working on the 10^6 to be compensated for the work?
If the LLM and its output are based on 10^12 hours of work, out of which 10^6 is working on the code of the LLM itself and 10^12-10^6 (so roughly still 10^12) is working on the training data, does it make sense for only those working on the 10^6 to be compensated for the work?