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We’re a long way from truly open-source AI

If users can’t see the underlying data on models they are not free to reproduce it
Meta’s Llama 3: Users can take and adapt the model, but they can’t see the underlying data on which it was trained and don’t have enough information to reproduce it from scratch

Open-source artificial intelligence has been one of the most surprising tech stories of the past year. As companies such as OpenAI and Google have poured billions of dollars into building ever more powerful AI, “open” models that are freely available for developers to use and adapt have closed the performance gap.

There’s just one drawback: most of these open-source systems are not very open. Critics accuse their backers of “open washing” — trying to benefit from the halo effect of open source, with its freedom from the constraints of normal commercial software products, but not living up to the name.

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