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A detailed Twitter thread outlining 10 rules for achieving polished UI with Claude, covering easing curves, design system variables, physics-based animations, and other refinements.
This paper investigates intrinsic data metrics to predict the utility of reasoning supervision before costly fine-tuning, finding that smaller models benefit from alignment-focused metrics while larger models gain from verbose traces, thus establishing a scale-aware framework for validating reasoning datasets.