The thing about these models is compute scales quadratically with model dimensionality and memory scales quadratically with sequence length.

We are nowhere near diminishing returns for either variable, so sure current models maybe scale quickly but the cutting edge will want as much compute as possible for a long time.

That’s kind of the humor of everyone saying this leak somehow leaves OpenAI vulnerable.

The work isn’t deciding if an MoE is the right architecture or not, it’s how to run 25k GPUs concurrently in a fault tolerant way (likely the true reason for the deep Azure links).