Dario has publicly claimed each model has been profitable, even accounting for its training costs; it's just that each new model is exponentially more expensive to train than the last, so the income lags and it looks like the company is losing money overall.
Now, we can't know if this is true unfortunately, but it's not directly contradicted by anything that's known publicly at least. I thought it was an interesting way to frame it and makes the whole situation look marginally less bad.
why are you listening to these idiots who have every incentive to spin the story as much as possible
FCFF = EBIT(1-t)-Reinvestment
I dont care about your gross profit - this kind of cash profit determines the value of operating assets.
A common extreme misconception is that inference is expensive and that providers are loosing a lot of money. Inference is extremely lucrative and profitable.