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I would guess a huge chunk of it is for internal testing/experimentation/model development.

They're starting to do things like spinning up wet labs for testing purposes, which requires a lot of hardware interfacing (hence that protocol they announced) and code.

It wouldn't shock me if the bulk of this code was for things typical users don't see.

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Exactly. Commit counts are no better than line counts as a software development metric. Where is the actual software?
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AI models is much of what they build. A lot of software around that to support it.
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Presumably all the internal research and evaluation work. I imagine for each released model they have uncountable unreleased ones.
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make smarter models?
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