Well, in a world where "the 2020 elections were stolen" or "climate change is a hoax" are right-leaning positions, being "balanced" does not mean being neutral.
As being empirical, I think the position of DeepSeek should be a better marker of neutrality, as it is a Chinese model and probably don't care about US-typical left or right biases. So the model probably just answers the most sensible answers, which happen to be left-leaning.
As the joke goes, "reality has left-leaning bias". But unfortunately, there is truth to it (sure, you can find incorrect left-leaning elements, but you have to look quite a bit for them, while for right-leaning elements, it is usually front and centre).
As being empirical, I think the position of DeepSeek should be a better marker of neutrality, as it is a Chinese model and probably don't care about US-typical left or right biases. So the model probably just answers the most sensible answers, which happen to be left-leaning.
As the joke goes, "reality has left-leaning bias". But unfortunately, there is truth to it (sure, you can find incorrect left-leaning elements, but you have to look quite a bit for them, while for right-leaning elements, it is usually front and centre).