LLMs work by always predicting the next most likely token and LLM detection works by checking how often the next most likely token was chosen. You can tell the LLM to choose less likely tokens more often (turn up the heat parameter) but you will only get gibberish out if you do. So no, there is not.
That’s not something you can tell from the numbers given, because it depends on their total spending, not their losses. Maybe they spent 50B/year and made 40B/year back, leaving them with 10B in losses. I that case reducing the spending by 20% to 40B would make them even