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Anchoring sub-grid star formation and supernova feedback to invariant physical scales rather than numerical cell sizes cuts cross-resolution variance in simulated stellar mass down to ~20% across an 8脳 grid refinement.
Adaptive Org Routing outperforms fixed collaboration protocols by dynamically selecting the best approach for each task, revealing that organizational design must be revalidated for each model family.
Forget RLHF, denoising feedback offers a surprisingly effective and scalable alternative for training diffusion language models.
