To be honest it's just a thing from financial models inside industry. When you plan how much copies you suppose to sell to turn profit you must consider refund rate as well.
Another reason is that games on Steam can and are often refunded after quite long time has passed. E.g people buy lots of games on holidays or sales and then refund them when they decide not to play it. Sometimes refunds can happen even after a year if e.g player can't get your game to run on their device, etc.
But yeah it make sense not to include it in math for single sale that was not refunded.
Ah, I see - thank you for the context! If you don't mind one more question - do you have to leave a substantial amount of cash in the Steam account in case of very late refunds? Or does Steam just send you an invoice or something?
Just from the fact that the LLM can/will work on the issue 24/7 vs a human who typically will want to do things like sleep, eat, and spend time not working, there would already be a noticeable increase in research speed.
Imagine a field where experiments take days to complete, and reviewing the results and doing deep thought work to figure out the next experiment takes maybe an hour or two for an expert.
An LLM would not be able to do 24/7 work in this case, and would only save a few hours per day at most. Scaling up to many experiments in parallel may not always be possible, if you don't know what to do with additional experiments until you finish the previous one, or if experiments incur significant cost.
So an AGI/expert LLM may be a huge boon for e.g. drug discovery, which already makes heavy use of massively parallel experiments and simulations, but may not be so useful for biological research (perfect simulation down to the genetic level of even a fruit fly likely costs more compute than the human race can provide presently), or research that involves time-consuming physical processes to complete, like climate science or astronomy, that both need to wait periodically to gather data from satellites and telescopes.