Choosing an LLM Is Choosing a World-View

Some LLMs lean left. Others lean right. The Anomify study shows that mainstream models are not neutral arbiters of truth, they come with their own built-in world-views. That means the answer you get is shaped not only by your prompt, but by the ideological fingerprint of the model you chose in the first place.

I assumed most models would at least converge on a kind of centrist neutrality, but the experiment revealed clear and consistent patterns in how they respond to social and political questions. One model might advocate for stronger regulation while another leans libertarian. Some avoid topics entirely while others dive in. This matters because it is easy to treat LLM output as objective when it is really a reflection of training data, guardrails, and product philosophy.

The takeaway is simple. If you are using an LLM for reasoning or advice, the choice of model is a design decision, not a cosmetic one. You are not only choosing a capability profile. You are inheriting a point of view.
Link to study: https://anomify.ai/resources/articles/llm-bias