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LLM research agents consistently lose to a naive moving-average baseline at forecasting scientific trends鈥攏ot due to poor reasoning, but because asking models to predict the future systematically biases their search policies away from the most recent literature.
None of the 30 LLM agents evaluated in CausalGame demonstrated reliable causal thinking, revealing a critical gap in AI's ability to perform scientific reasoning.