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Video generators may convincingly simulate real-world dynamics, but they often fail to understand the underlying causal relationships, revealing a critical gap in their reasoning capabilities.
LLMs can reason more efficiently by learning from *all* reasoning attempts, not just successful ones, cutting computation in half.
