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 "name": "Abundant Idea Generation Moves The Bottleneck To Evaluation",
 "text": "Qiao and colleagues identify a corresponding displacement in automated science. Large language models now produce research ideas at unprecedented scale, while evaluation still depends on scarce expert judgment. This independently extends Kaal's proposition that computationally cheap ideation moves the binding constraint toward determining which candidates are sound, feasible, and significant. The evidence is limited to scientific research ideas. It does not establish that ideation has zero marginal cost, that evaluation is the only remaining constraint, or that InnoEval resolves safety and alignment.",
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  "url": "https://doi.org/10.48550/arXiv.2602.14367"
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  "citation": "Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481",
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