A recent audit by the Washington Post of leading AI models reveals a striking partisan tilt. When quizzed on contentious political queries, OpenAI’s ChatGPT offered left-leaning responses a remarkable 80 per cent of the time while remaining truly even-handed in just 17 per cent of cases; a mere 3 per cent of answers leaned right. Another Stanford experiment on other leading LLMs, like Google’s and Meta’s, found the left-leaning bias surfaced again in two-thirds of cases. All Chinese AI, including DeepSeek, simply refuse to answer questions on the Chinese political system and Xi Jinping. The article explains that an LLM like ChatGPT is a data-dependent extrapolation machine; its output reflects the statistical centre of gravity of the text it has consumed and the rules imposed upon it after training. Models are trained on enormous quantities of publicly available text, among which Wikipedia looms large in influence, written to reflect “reliable sources” that agree with the LLM’s programme agenda. Large language models do not simply mirror; they smooth, privileging dominant interpretations over marginal ones and majority framings over dissent.