Chinese labs seem way more willing to release open-weight models while the big US labs keep everything closed. My theory is that if Chinese labs are more comfortable opening the weights, maybe they don’t think the weights are the real moat in the AI race. Could the real moat actually be specialized training data or evals? Which would make it really weird that some of the expert training data comes from US companies like Mercor/SurgeAI Or maybe it’s some kind of cultural difference? submitted by /u/caliberprot
Originally posted by u/caliberprot on r/ArtificialInteligence
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