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Open Source Initiative tries to define Open Source AI
(www.theregister.com)
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it is only open source if i can build it myself. Which I can't if you just give me the weights.
The weights are the "compiled" version of the dataset. It's the dataset that's the source, not the weights
@vrighter @ylai
That is a really bad analogy. If the "compilation" takes 6 months on a farm of 1000 GPUs and the results are random, then the dataset is basically worthless compared to the model. Datasets are easily available, always were, but if someone invests the effort in the training, then they don't want to let others use the model as open-source. Which is why we want open-source models. But not "openwashed" where they call it "open" for non-commercial, no modifications, no redistribution
the results are random therefore the dataset is useless.
tell that to any fpga toolchain