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Task-dependent credit assignment reveals hidden bottlenecks in neural network performance, challenging the notion of universal learning strategies.
Despite their increasing role in scientific discovery, today's AI models are surprisingly bad at predicting which scientific breakthroughs will actually happen and when.
