What are chinese labs doing differently?

Reddit r/artificial News

Summary

The post questions why Chinese AI labs are achieving better results with less investment compared to American labs, considering factors like efficiency, post-training techniques, and data acquisition.

Chinese models seem to keep getting better while only spending a fraction of what American labs do and i’m curious what the actual explanation is. Is it better efficiency? Better post-training? Better use of open research? I know recently they have been buying up tons of specialized training data sets from US data annotation companies, which is a very worrying thought, but surely it can’t just be this.
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