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Researchers created an interactive web game based on economic models to simulate the trajectory of AI development and recursive self-improvement, where players manage an AI lab's resources (labor, compute, and data) to achieve self-sustaining acceleration. The game, inspired by "The Economics of Recursive Self-Improvement" paper, is designed for pedagogical understanding rather than realistic forecasting, and reveals that bottlenecks in complementary inputs like compute and data may constrain AI progress even when algorithmic improvements are abundant.
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