Okay, but corpos aren’t training one model and being done with it. They’re training thousands of models, tweaking hyperparameters to find the correct fine tuning needed.
Also, putting the scale at 180,000 miles of driving makes it sound more insane to me. The earth is like 25,000 miles. If you could drive on the ocean, you could circumnavigate the globe seven times over!
Yeah but only with a fairly efficient EV in the TESLA model 3 class. With a typical gasoline car you’d be closer to only one and half circumnaviagtions with 45.000 kWh. The average american car can apparently drive 25 Miles per Gallon. A gallon of gas has roughly 33 kWh of energy in it. That’s only 34090 miles on the energy used train stable diffusion.
That’s a fraction of the life of a single car, for an AI model used by millions of people. AI isn’t that big of an energy consumer if done right it seems. Look at how much energy data centers used before the AI shenanigans, or how much Bitcoin uses.
Okay, but corpos aren’t training one model and being done with it. They’re training thousands of models, tweaking hyperparameters to find the correct fine tuning needed.
Also, putting the scale at 180,000 miles of driving makes it sound more insane to me. The earth is like 25,000 miles. If you could drive on the ocean, you could circumnavigate the globe seven times over!
Yeah but only with a fairly efficient EV in the TESLA model 3 class. With a typical gasoline car you’d be closer to only one and half circumnaviagtions with 45.000 kWh. The average american car can apparently drive 25 Miles per Gallon. A gallon of gas has roughly 33 kWh of energy in it. That’s only 34090 miles on the energy used train stable diffusion.
You aren’t making it sound bettter 34,000 miles is still a lot of miles.
That’s a fraction of the life of a single car, for an AI model used by millions of people. AI isn’t that big of an energy consumer if done right it seems. Look at how much energy data centers used before the AI shenanigans, or how much Bitcoin uses.