I'm not sure I like this method of accounting for it. The critics of LLMs tend to conflate the costs of training LLMs with the cost of generation. But this makes the opposite error: it pretends that training isn't happening as a consequence of consumer demand. There are enormous resources poured into it on an ongoing basis, so it feels like it needs to be amortized on top of the per-token generation costs.
At some point, we might end up in a steady state where the models are as good as they can be and the training arms race is over, but we're not there yet.
At some point, we might end up in a steady state where the models are as good as they can be and the training arms race is over, but we're not there yet.