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LLMs may grasp the broad strokes of causal strategies, but struggle with the devilish details of research design, as revealed by a new benchmark separating causal identification from estimation.
Language model capabilities are surprisingly stable over time for most tasks, except for math reasoning, which continues to advance, offering a way to reliably translate compute budgets into performance expectations.
