All LLMs inherit bias from their training data, and xAI’s argument is that Grok is being steered to counter that bias rather than simply inherit it. You can disagree with whether they succeed, but the act of steering isn’t automatically suspicious when knowing that every major model is steered. The relevant question is whether the steering moves the model closer to truth and neutrality, or just replaces one bias with another. At least with Grok, some of that intent is unusually explicit. I’d rather have multiple competing approaches to steering than a monoculture where every model quietly optimizes for the same idea of acceptable answers.