The conditional superiority of fast silicon sampling
Silicon sampling can produce surprisingly good population estimates at times. Does doing it fast attenuate such fidelity? In this study, we extend and assess ongoing work in silicon sampling by comparing the algorithmic fidelity of "fast" and "slow" modes of silicon sampling among a nationally representative sample of Singaporean survey respondents. We find that silicon sampling with contemporary frontier models remains a method in early development to be used only with great caution. While silicon samples are able to produce moderately faithful estimates of population means, they continue to
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- PossiblePossibly related (embedding) · 46%SOTA Apple Silicon Inference (August 15, 2026) →
- LinkedLinked via arxiv author · 85%Nickolas Hock Yuen Lam →
“The conditional superiority of fast silicon sampling”
- LinkedLinked via arxiv author · 85%Ji Xuan Voo →
“The conditional superiority of fast silicon sampling”
- LinkedLinked via arxiv author · 85%Xiangyu Ma →
“The conditional superiority of fast silicon sampling”