> The costs will go down over time, much of the cost is the margin of NVIDIA and training new models
Isn't each new model bigger and heavier and thus requries more compute to train?
Isn't each new model bigger and heavier and thus requries more compute to train?
Until the competition outcompetes you with their new model and you have to train a new superior one, because you have no moat. Which happens what, around every month or two?
> the hardware is getting much better and prices will fall drastically once there is a bit of a saturation of the market or another company starts putting out hardware that can compete with NVIDIA
Where is the hardware that can compete with NVIDIA going to come from? And if they don't have competition, which they don't, why would they bring down prices?
Eventually one of you runs out of money, but your customers keep getting better models until then; and if the loser in this race releases the weights on a suitable gratis license then your businesses can both lose.
But that still leaves your customers with access to a model that's much cheaper to run than it was to create.
Huge margins lead to a lot of competition trying to catch up, which is what makes market economies so successful.
Google however does not sell these, you can only lease time on them via GCP.
Raising the max intelligence of the models tends to raise the intelligence of all the models via distillation.