It’s often joked about that many people say “Thank you” to ChatGPT, Gemini, etc. at the end of the conversation just for the sake of politeness and maybe to humanize the chatbot. But this also wastes precious compute resources, as the models have to actually process that request and determine the most suitable response just like with any other query. I’m not sure about the exact numbers but I’m pretty sure processing millions of "Thank you"s a day is not the most efficient use of a model’s capacity. So why don’t companies just hardcode a set of preselected responses for every time a user thanks the chatbot? They could just load up 1,000 different ways to respond, and then add some simple logic to determine the best response for each variation of “Thank you”. Wouldn’t this save a non-trivial amount of power and electricity each month? Sorry if this is a silly question, it was just a random shower thought I had after my mom told me she thanks Deepseek and Perplexity every time she uses them for research for her work, which is around 20 times per week lol. submitted by /u/anotherhappylurker
Originally posted by u/anotherhappylurker on r/ArtificialInteligence