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I would do this calculation as some measure of innovation / resources, then probably we can put this work in context a little bit better.

And if we could do innovation / red tape, I'm sure it'd auto win :)

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Any lab can make the lack of resources argument. Regardless of that though, it’s every lab’s own responsibility to do well, and to do well despite circumstances.

Is that fair? Of course not! But who really expected for everything to be perfectly fair all the time anyways?

We can do more nuanced comparisons that take resources into account. That will help us see how efficient each lab is, but it doesn’t help the labs overall. Mistral shouldn’t be held to a lower standard simply because they got outcompeted.

Sure sure but if I want to answer the question "is model quality a function of resources or there's something irreplaceable in the US and Chinese engineers that can't be replicated in Europe?" it's a good metric. And if the European Union or an European VC is going to decide whether to invest in AI in Europe or not, they'd probably like to know.

Fair point.

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