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marcel-c13

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But isn't the max training efficiency naturally tied to the architecture? Meaning other architecture have another training efficiency landscape? I've said it somewhere else: It is not about "caring too much about new model architecture" but to have a balance between exploitation and exploration.

I think you misunderstood the article a bit by saying that the assertion is "that a new architecture will be the solution". That's not the assertion. It's simply a statement about the lack of balance between exploration and exploitation. And the desire to rebalance it. What's wrong with that?