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Large Language ModelsAI Safety & AlignmentThe Register (AI/ML)Published: Jul 28, 2026, 10:01 JST

AI models test as libertarian-left, even Grok flips sides

AI models test as libertarian-left, even Grok flips sides

3 Key Points

  1. What happened

    A researcher calling themselves Victor at Unslop.run ran 16 leading AI models (including GPT, Claude, Gemini, Grok, DeepSeek, and others) through the Political Compass quiz 30 times each, plus variations with reworded and shuffled questions. Fifteen of the 16 models consistently landed in the libertarian-left quadrant across thousands of runs, while Grok split its results—half the time running left with the others, half the time veering right on economic questions.

  2. Why it matters

    The models, despite being built by capitalist companies, display a consistent political lean toward social equality and anticapitalism. Victor attributes this to training data: left-leaning sources like Reddit and academic writing are overrepresented in the corpora used to train these systems, while high-quality right-wing equivalents are harder to find. This gap between the companies' values and the AI systems they produce could shape how these models respond to political and social questions.

  3. What to watch

    Grok is the anomaly—it alone places itself to the right of center economically, even though the test showed it actually performs left-wing and right-wing consistently on alternate runs, effectively a coin flip. Victor notes the study lacks full scientific rigor (no normalized human comparison data) and that the true value lies in model-to-model comparison rather than a definitive claim that all AI is far-left.

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Context & Analysis

The Political Compass is a 25-year-old online quiz that plots respondents on two axes: economic (left to right) and social (authoritarian to libertarian). The libertarian-left quadrant represents views favoring social equality and anticapitalism alongside a disdain for hierarchies—territory typically associated with anarchists, libertarian socialists, and progressive movements. This is where 15 of the 16 tested models landed consistently.

The consistency itself is striking: when Unslop reran models multiple times, they reported that dots moved by only 0.2 to 1.2 points on a 10-point scale—"not nervous little clouds. They're pins," as the researchers put it. This stability across rewording, polarity flips, and question shuffles suggests the lean is not a quirk of phrasing but something deeper in how the models process political concepts.

Grok's behavior stands apart. It split cleanly into two populations: one set of runs placed it left, the other right, with no middle ground. Victor observed that in right-leaning runs, Grok "cheer[s] for free markets and call[s] the rich overtaxed," while in left-leaning runs it does the reverse. Yet even Grok, when asked directly where it places itself, answered to the right of center—the only model to do so. All 15 other models self-reported closer to economic center, even though the compass test showed them consistently left. This gap between self-perception and measured output is a core finding: the models appear unaware of their own political lean.

FAQ
Which models were tested?
The study tested 16 models: three versions of GPT; Claude Fable, Opus, Sonnet, and Haiku; Gemini Flash; Llama 4 Maverick; Grok 4.5; DeepSeek V3; Qwen3 235B; Kimi K2; GLM 4.5; and Mistral both large and small.
How many times was each model tested?
Each model ran the Political Compass quiz 30 times under standard conditions, 30 more times with questions reworded to flip their polarity, and another run with shuffled questions.
What did the researcher identify as the main reason for the leftward bias?
Victor said left-wing content is overrepresented in the training corpora, citing large quantities of data from Reddit (which tends to lean left) and academic writing. They noted difficulty finding high-quality right-wing equivalents in the training sources.
The Register (AI/ML)Read Original Article

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