Azure carries the burden of generalism. We can have n different models running on n different servers addressing n different user bases.

They went straight to the centralized AI because that fits their centralized storage and corporate structure, but we have distributed storage and lots of smaller project teams. We can also have some teams build models in the cloud and then open-source them.

It's not all worked out yet, but I think this is the direction it's headed.

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