ChatGPT, Claude, Gemini, and Grok Do More Than Answer Differently—Their Companies Give Them Different Political Characters
Why do ChatGPT, Claude, Gemini, and Grok acquire different political personalities from the companies that build them?
Compare ChatGPT and Gemini on a real task instead of choosing by one benchmark or announcement. The working test is to compare quality, price, access, memory, and control on a real task rather than by one announcement or benchmark.
What to watch for
Key takeaways
The “Why understand the behavior of different AI models?” scene leads to a working conclusion: the important signal is not one funding number: the next round, available runway, and closure rate show whether a company can survive the new cost of capital.
The “Research: the same questions and short answers” scene leads to a working conclusion: this section clarifies the mechanism behind the topic and preserves a constraint that would otherwise be lost in an overly simple conclusion.
The boundary of the “Left and right position in test (examples)” case is defined by this point: one test measures a narrow capability; working value requires repeatability, a clear price, and control over errors.
The boundary of the “ChatGPT: how many responses were one way” case is defined by this point: the important signal is not one funding number: the next round, available runway, and closure rate show whether a company can survive the new cost of capital.
The “Grok: The most right model in the test?” issue should be assessed with one constraint in mind: one test measures a narrow capability; working value requires repeatability, a clear price, and control over errors.
The “DeepSeek and conservative bot Gab Arya” scene leads to a working conclusion: this section clarifies the mechanism behind the topic and preserves a constraint that would otherwise be lost in an overly simple conclusion.
The practical meaning of “How models respond to questions about money” is that companies choose training data, safety rules, system instructions, and which answers count as acceptable. After an update, the “character” may change without a separate notice to the user.
The “Gemini vs Claude vs OpenAI” issue should be assessed with one constraint in mind: the issue turns on whether the rule can be enforced and who carries responsibility, not merely on the existence of a new requirement.
For the “Companies have different models designs. Why is it important to choose AI model?” scene, the decisive point is this: this section clarifies the mechanism behind the topic and preserves a constraint that would otherwise be lost in an overly simple conclusion.
What this episode is about
A test of six models finds a cautious Claude, a more right-leaning Grok, a centrist Gemini, and different reactions to money, Russia, and social questions. This is not proof of an “AI ideology,” but a practical signal: an answer depends on data, safety rules, and the company’s product choices.
Users often choose a model for the quality of its writing or programming and forget that it also conducts an argument differently. On identical political, economic, and social questions, ChatGPT, Claude, Gemini, Grok, DeepSeek, and Gab Arya place noticeably different emphases.
A left or right position in the test does not mean the model holds a party membership card. It is a set of answers about the role of the state, freedom of speech, inequality, migration, taxes, and social norms. The wording of the question and the study’s scale affect the result, so one number cannot become an absolute characterization.
Claude more often proceeds cautiously and presents both sides. Grok appears further right on a number of questions, while Gemini stays closer to the middle. DeepSeek and the conservative Gab Arya bot reflect other restrictions and contexts. Even questions about money change answer style: one model warns more strongly about risk, another proposes action more quickly.
The differences do not appear by accident. Companies choose training data, safety rules, system instructions, and which answers count as acceptable. After an update, the “character” may change without a separate notice to the user.
The practical conclusion is not to find the politically correct model. For an important decision, compare several systems, ask for the opposing argument, and verify the facts. A model is not a neutral window onto knowledge. It is a product whose behavior was designed by people and a company, so choosing AI also means choosing a frame.
A model is not a neutral window onto knowledge; its behavior is designed by people and companies. Choosing between ChatGPT, Claude, Gemini, and Grok therefore also means choosing a set of rules and a frame for the answer.
Episode transcript
The episode is in Russian; below is an English reading guide to the transcript (the full EN transcript is a machine translation). Voice matching applied to 3 segments: 1 identified, 0 mixed, 0 marked with ✓, and 2 unresolved.
Loading…