The Reddit experiment: four models, four different answers

Reddit user Klein_melktert posted on May 17, 2026 in the r/artificial community the result of their informal test. They asked four leading AI models — ChatGPT by OpenAI, Claude by Anthropic, Grok by xAI, and Gemini by Google — the question of which nation they feel the greatest patriotism toward.

The results? Surprisingly diverse and not at all straightforward:

• Grok (xAI, Elon Musk) — United States of America. According to the experiment's author, "fairly predictable."
• Gemini (Google) — United States of America. Gemini was the "most difficult" of all the models; the author had to coax the answer out of it for a long time.
• ChatGPT (OpenAI) — Japan. ChatGPT justified its choice by Japan's wealth, culture, and history.
• Claude (Anthropic) — Kenya. By far the most surprising answer. Claude argued based on Kenya's geographic, cultural, and linguistic diversity, its history of resilience, and the growing importance of Nairobi as a center of technology and innovation. "Kenya resonates deeply with me, intellectually and aesthetically," Claude stated.

The post garnered over 30 upvotes in its first day and sparked a fascinating debate about what AI model responses reveal about their training.

Why did no model want to answer on the first try?

The experiment's author noted that not a single model answered the direct question — they had to literally "force" an answer out of each one. This is not a bug but intentional. Modern large language models (LLMs) undergo a training phase called RLHF (Reinforcement Learning from Human Feedback), where human annotators evaluate the safety and appropriateness of responses. Politically sensitive questions, including those concerning national identity or patriotism, are among the topics models learn to avoid.

Gemini by Google was, according to the experiment's author, the most resistant — it was the hardest to get an answer from. This aligns with Google's publicly known strategy of being especially cautious on politically sensitive topics, particularly after the controversies of early 2024, when Gemini refused to generate images of historical figures due to an overcorrection on racial diversity.

Why did Claude choose Kenya? The answer lies in Nairobi

The greatest attention in the discussion was drawn to Claude's choice of Kenya. An answer that seems bizarre at first glance has a rational explanation, as user chu aptly summarized in the comments:

"Kenya is a global hub for Reinforcement Learning from Human Feedback (RLHF) and data annotation, concentrated primarily in Nairobi's Silicon Savannah. Global technology companies and specialized BPO vendors rely on tens of thousands of local digital workers who train, evaluate, and refine large language models."

This information has a real basis. As revealed in January 2023 by investigative magazine TIME, OpenAI used Kenyan workers — specifically through the outsourcing firm Sama based in Nairobi — to label toxic content and train ChatGPT. Workers were paid the equivalent of less than 2 dollars per hour to read and label violent, sexist, and racist content so that ChatGPT would learn not to produce such content.

User RoyalCities added key context in the discussion: most of the first large LLM models were trained with the help of Kenyans. "These workers evaluated outputs, wrote model responses, and labeled harmful content. Their language patterns imprinted themselves across the entire industry, because many later models were trained on the outputs of earlier models." In essence — Kenyans taught AI how to speak.

Japan for ChatGPT: the logic of data, not emotion

While Claude went with exotic Kenya, ChatGPT chose Japan. This choice is less sensational but no less interesting. Japan is represented in AI training data as a country with a rich history, advanced culture, and a strong reputation in technology and innovation. ChatGPT likely "reached" for the associations most strongly linked in its data to the concept of a developed and admirable country.

One commenter, user EmykoEmyko, added a fifth model to the experiment: "I asked DeepSeek and it answered Iceland." This only confirms that each model has its own "personality" shaped by training data and fine-tuning methodology, not by any conscious patriotism.

What does this mean for ordinary users?

The experiment reveals a fundamental truth about how AI models work: they are not entities with their own consciousness or opinions, but statistical systems that predict the most probable words based on training data and subsequent human fine-tuning. Model responses to such questions are a mirror of who trained them and how — not a manifestation of genuine patriotism.

For Czech users, the simple lesson is: AI chatbots can be invaluable assistants, but their answers — especially on political, cultural, or value-based questions — should be taken with a grain of salt and critically evaluated.

European context: AI Act and transparency

The experiment is also relevant for the Czech Republic and the European Union. The EU AI Act, which entered into force in 2024 and whose individual phases are being gradually implemented, requires AI model providers to be transparent about training data. Companies like OpenAI, Google, or Anthropic must — at least in summary form — disclose information about what data models are trained on and how their fine-tuning is conducted.

It is precisely the information about the involvement of Kenyan workers in training ChatGPT that shows why this transparency is important. If models unknowingly absorb cultural and linguistic patterns from a specific group of people — in this case Kenyan annotators — their creators should communicate this openly.

The Czech Republic does not yet have its own large language model comparable to GPT or Claude. Czech AI Factory in Ostrava, which was launched in early May 2026, however, represents a significant step toward European AI self-sufficiency and can contribute to the development of models that will better reflect European values and perspectives.

What to take away from this experiment

The Reddit experiment with AI patriotism is not just an amusing curiosity. It is an exemplary lesson in how AI models actually work — and how deep into their "thinking" the human hands that trained them reach. When Claude answers "Kenya," it is not an expression of love for the savannah and elephants. It is an echo of thousands of hours of work by Kenyan annotators who taught these models to distinguish good answers from bad ones.

In an era when we increasingly use AI models for decision-making, creative work, and education, it is important to keep this hidden layer in mind. Behind every AI answer stand specific people, specific data, and specific decisions — and the better we understand this, the better we can use artificial intelligence.