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Synthetic data can dramatically enhance the accuracy of dynamic intrinsics prediction, bridging gaps in real-world applications.
LLMs can't reliably predict scientific experiment outcomes, and more worryingly, they have no idea when they're wrong, unlike human experts whose accuracy skyrockets when they feel confident.
