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This paper introduces RiskAverseOOD, a benchmark for measuring how well risk aversion learned in low-stakes gambles generalizes to astronomically high-stakes gambles in language models. Initial results show that models like Qwen3-8B can generalize risk aversion partially across 98 orders of magnitude, though not yet reliably enough for a safety failsafe.