[verdverm]

For Uber, car prices and salaries go up over time naturally

For computing, silicon has become cheaper and more efficient over time

I expect a race to the bottom and then some stabilization, much like we have seen in general cloud computing, and have seen with token prices

[daghamm]

"For Uber, car prices and salaries go up over time naturally"

Or, your VC money runs out and you start treating your gig workers like crap to save a few cents here and there.

[bravetraveler]

The bottom can still be pretty high! Storage has become an order of magnitude cheaper, yet I still don't bother with block storage pricing

Dedicated or S3 is where it's at, still plenty of room for gamification

[hoerzu]

The point is the VC money funding something unsustainable (burning through billions). Token prices will never be zero IMO.

[meiraleal]

Yes they will. They are already, if you run local models, that are only getting better. There are 7-11B models that are as good as ChatGPT 3.5

[chatmasta]

Token costs are not zero when you’re running local models, because you paid for the hardware, and you can’t scale inference indefinitely without paying for more hardware.

[hoerzu]

Ok, but running a 11B model gets things 60% of the time right and consumes maximum of electricity of your machine. Not sure if that makes you product the best. Further video generation is very compute intensive. I guess price will decrease over time but the technical advance will allways be for the smarter model

[meiraleal]

> and consumes maximum of electricity of your machine

OpenAI isn't a eletricity company so the token prize is still zero for what is worth for VCs.

> but the technical advance will allways be for the smarter model

Not true. Currently, the small models are advancing much faster with daily new releases