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The post questions why quantization-aware training is not a standard practice for open-weight AI models and asks about potential barriers like compute costs or performance impacts.
A researcher questions why the ML community doesn't limit submissions per author to manage review quality, citing successful practices in other fields like Security and Computer Architecture.