Earlier quoted context omitted.
> 13 billion in revenue, 7.5 in cost of revenue. and 7.81 billion in R&D from last year. I don't know how long it took to build the weights for the current model, or exactly how much that costs, but it's certainly more than zero days and zero dollars. I also doubt that OpenAI could set that R&D expense to zero and survive without an agreement from Anthropic that they'll do the same... so that R&D expense can't be ign…
You're missing the point. There was a lot of debate around if inference was subsidized or not. And that's a huge point to confirm in the public discourse.
To answer that question you have to take into account the cost to produce the thing that inference uses. If you don't, then that's like claiming that the total cost of a car is the cost to keep it on a dealer's lot until it's sold.
"Figuring out how much R&D adds to the total cost of a thing" absolutely isn't a new problem. And given that models seem to get supplanted every year, it's not like you're gonna be able to spread those R&D costs out very much.