Which is the same order of magnitude? Also, how often do they train from scratch?

I don’t understand your first question, sorry.

But for the second:

Llama 1, 2, and 3 all have different architectures and needed to be trained from scratch. Llama 1 was released February 2023.

Same training story for openAI’s Sora, dalle, and 4o. All of mistral’s models Mamba, Kan, and Each version of rwkv (they’re on 6 now)

Not that this list is a result of survivor bias. It’s only looking at their published models too. Not the probably 1000s of individual training experiments that go into producing each model.

Which is still absolutely nothing compared to something like youtube’s servers, which is absolutely nothing compared to something like the food industry.

Like, if a couple of millions of people can use chatgpt in the manner they do today, would it matter if a house’s yearly energy budget was used up for that? Or 10?

I guess because training AI doesn’t use as much energy as the largest energy consumers on the planet, we just shouldn’t even worry about it.