Another is that we’re seeing different countries obtaining R1 and adding their own language data. That approach can address the third layer—the ideological bias—because if the model’s initial information was one-sided, it might reflect a specific worldview even if it’s willing to answer. For example, Japan’s CyberAgent added Japanese corpora to train it further, so if you ask politically sensitive questions in Japanese, it’s no longer limited by the original ideological framing.