The Liberal Democratic Party of Russia (LDPR) has introduced a Telegram chatbot that lets users ask questions to a Zhirinovsky-inspired neural network. The party describes Zhirinovsky as a term often referred to as the world’s first digital political algorithm, a claim echoed by TASS in coverage of the project.
At present, the bot accepts user inquiries, which are then passed to the Zhirinovsky neural network by moderators. The most effective responses are published in a separate Telegram chat for broader viewing.
The LDPR explains that the chatbot is part of an effort to improve the Zhirinovsky neural network, which has absorbed the party founder’s legacy through engagement with living people. The project organizers emphasize that the digital program is designed to learn from real questions and grow more capable over time.
Vladimir Koshelev, a project curator and State Duma deputy, described the initiative by saying that Vladimir Volfovich was always ready to listen and respond with candor, even to difficult inquiries. The goal here is to educate this digital student in a thoughtful and responsible way, ensuring the AI can reflect the party’s historic voice while adapting to contemporary conversations.
Already, dozens of posts exist in the dedicated chat where Zhirinovsky AI provides responses. Among the topics addressed is a question about Russia’s possible trajectory a century from now, with the AI noting that such a distant forecast cannot be predicted with certainty. This line highlights the limits of predictive AI when dealing with long-term geopolitical scenarios.
The broader context shows how political organizations experiment with conversational AI to convey policy positions, answer public questions, and demonstrate engagement with citizens. This approach mirrors growing interest in digital diplomacy, where automated agents can participate in public discourse while human moderators guide the process to maintain accuracy and accountability.