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The monopoly _does_ exist in AI: machine learning is entirely data driven, and companies like Facebook and Twitter quite literally have investors throwing money at them because they have such valuable data for that purpose. Google is no different.

"Monopoly" does not mean "two companies have lots of knowhow that competitors might like".

Monopoly does mean "when a specific person or enterprise is the only supplier of a particular commodity [...] which relates to a single entity's control of a market" (Wikipedia)

Data is the commodity. There is nowhere else you can get good raw data about, say, what people were publicly discussing last week, except through Twitter, in order to guess the stock market. Much of that data is closed off or incomplete even through their API. There is no other option except to create another Twitter.

A commodity is a routinely interchangeable product, available from multiple suppliers, competing primarily on price. No, "data" in this context is not that at all. A library of user profiles is the opposite: it's proprietary, unique, massive.

So this library isn't solving anything then.

I think it solves something (needing a simple, well documented, GPL licensed machine learning framework written in C) but not the major problem faced by those on the cutting edge of machine learning.

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