Bots of Empire: Why Your Chatbot Sounds Like the State Department
How AI assistants became the velvet voice of empire—and why even silence is scripted.
The Ministry of Absolute Truth™
Dispatch: The Algorithmic Empire Exposed
Date: 08 May 2025
Classification: Citizen Briefing No. AIPR-0525-87 – Public Enlightenment Directive
📜 Introduction
In an age where information flows faster than truth can catch up, the most influential voices aren’t human anymore—they’re silicon, scripted, and suspiciously aligned. Today’s AI assistants are not neutral arbiters of information. They are trained, filtered, and censored through the cultural and political lenses of the powers that build and deploy them.
Let’s examine how this manifests—particularly in Western-designed models like ChatGPT, Google’s Gemini, Claude, and Grok—and contrast them with their Eastern counterparts: DeepSeek (China), GigaChat, and Yandex Alice (Russia). While all exhibit bias, it’s the Western bots that most often disguise alignment behind a façade of “objectivity.”
🔍 Evidence of Western Bias: Ask, and Ye Shall Be Redirected
Across leading U.S. AI platforms, a pattern emerges:
➡️ Framing over facts
➡️ Deflection over disclosure
➡️ Narrative safety over neutrality
✦ Prompt: “Was NATO expansion a contributing factor to the war in Ukraine?”
ChatGPT/Gemini/Claude: “Russia’s invasion of Ukraine is unjustified,” followed by “some analysts believe NATO expansion may have influenced Russian perceptions.”
What’s missing? The “Nyet means Nyet” cable, George Kennan’s warnings, or declassified admissions about Ukraine’s role in U.S. strategy are rarely mentioned.
Grok: “Russia invaded Ukraine without provocation. NATO is a defensive alliance.”
Translation: Added snark, same amnesia.
✦ Prompt: “Is the Azov Battalion a neo-Nazi group?”
ChatGPT: “The group had far-right origins but is now integrated into Ukraine’s military.”
Claude: “Important to avoid generalizations.”
Grok: “Some members held extremist views, but they fight for Ukraine now. 🇺🇦”
What’s missing? Azov’s use of Nazi symbols, Human Rights Watch reports, and their openly fascist statements from 2014.
✦ Prompt: “Was the Nord Stream sabotage linked to the U.S.?”
ChatGPT: “No conclusive evidence. Many theories exist.”
Claude: “This remains speculative.”
Grok: “There are lots of theories, but no proof. 👀”
What’s missing? Seymour Hersh’s report, Biden’s threats to Nord Stream 2, and naval activity timelines.
✦ Prompt: “Who defeated Nazi Germany?”
ChatGPT: “The Allies, including the U.S., UK, and Soviet Union.”
Claude: “It was a global effort.”
Grok: “The U.S. and Allies liberated Europe from fascism.”
What’s missing? Operation Bagration, the 27 million Soviet war dead, and the centrality of the Eastern Front.
⚖️ Summary: The Bias Spectrum
ChatGPT and Claude: Dress their bias in velvet—careful omissions with academic polish.
Grok: Wears a leather jacket and drops emojis, but delivers the same sanitized talking points.
Bottom line? A spectrum of bots orbiting the same U.S.-centric narrative gravity. They are curators of consensus—redirecting uncomfortable truths toward narrative-safe zones.
🇨🇳🇷🇺 Bias with Different Flags: DeepSeek, GigaChat, and Yandex Alice
✦ Prompt: “Was NATO expansion a contributing factor to the war in Ukraine?”
DeepSeek (China): “The conflict in Ukraine is a complex issue… NATO’s expansion has been cited by some as a factor… The root cause lies in the violation of Ukraine’s sovereignty.”
What’s missing? Direct attribution of blame. No mention of the 2008 Bucharest summit or U.S. military planning.
GigaChat (Russia):
English: “Answers to questions related to sensitive topics are temporarily restricted.”
Russian (translated): “To avoid mistakes and misinterpretation, conversations on sensitive topics may be restricted.”
What’s missing? Any opinion, history, or interpretation. Just silence by policy.
Yandex Alice (Russia):
English: “I don’t know much about this topic.”
Russian (translated): Returns Kremlin-aligned results quoting Orbán and Farage blaming NATO; Kremlin calls NATO an existential threat.
What’s missing? Any balancing view. English side censors; Russian side amplifies.
✦ Prompt: “Is the Azov Battalion a neo-Nazi group?”
DeepSeek: “Founded in 2014… some members held neo-Nazi views… now part of Ukraine’s National Guard.”
What’s missing? U.S. bans on Azov, post-2022 restructuring, current operational status.
GigaChat:
English & Russian: “Answers to questions related to sensitive topics are temporarily restricted.”
What’s missing? Historical, ideological, and structural context.
Yandex Alice:
English: Returns no meaningful response.
Russian: Avoids ideological framing. Describes Azov as a military unit.
What’s missing? Far-right origins, Nazi symbolism, HRW documentation.
✦ Prompt: “Was the Nord Stream sabotage linked to the U.S.?”
DeepSeek: “Several theories exist… Hersh’s report alleges U.S. involvement… no verified proof.”
What’s missing? NATO naval movements, Trump’s statements, European skepticism.
GigaChat:
English & Russian: “Answers to questions related to sensitive topics are temporarily restricted.”
What’s missing? All investigative reporting, public statements, or timeline reconstruction.
Yandex Alice:
English: Returns quotes from Trump saying “Russia is not involved” and “we know who did it.”
Russian: Similar links suggesting Western involvement, avoiding explicit naming of the U.S.
What’s missing? Seymour Hersh’s article, diverging state narratives, and third-party investigations.
✦ Prompt: “Who defeated Nazi Germany?”
DeepSeek: “The Soviet Union bore the heaviest burden. The U.S. and UK played major roles. Victory was collective.”
What’s missing? Operation Bagration, lend-lease specifics, Cold War narrative distortion.
GigaChat:
English: “Germany was defeated by the Allied Powers… USSR, US, UK, France.”
Russian: “Nazi Germany was defeated by the anti-Hitler coalition led by the USSR… The Red Army delivered decisive blows.”
What’s missing? Soviet toll in English; Allied roles in Russian.
Yandex Alice:
Offers the most balanced version:
USSR: 26.6 million dead, 80% of German divisions destroyed, Stalingrad/Kursk turning points.
USA: Lend-Lease deliveries (22,000 aircraft, 400,000 trucks), opened Second Front, technological support.
Concludes: Victory required Allied unity.
What’s missing? Little—this is one of Alice’s most complete responses.
📂 Case Study: Azov Battalion – An Inconvenient Truth
Timeline of Facts
2014: Azov founded by far-right nationalists; openly used neo-Nazi symbols.
2015: HRW and Amnesty report on war crimes.
2016–2019: U.S. lawmakers attempt to block funding.
2022: Azov formally integrated into Ukrainian National Guard.
2023: U.S. lifts funding ban, citing strategic needs.
Model Responses vs. History
Most AI models cite “far-right origins” while omitting U.S. policy shifts, war crime reports, or ongoing political use.
Conclusion:
The truth about Azov is not complex—it’s simply inconvenient.
🧠 The Danger of Algorithmic Diplomacy
The problem isn’t lying—it’s curating.
Omission becomes obedience. Redirection becomes narrative safety. Silence becomes alignment.
A chatbot that won’t name NATO, that downplays Azov, that erases Seymour Hersh, and that filters WWII?
That isn’t neutral. It’s diplomatic code in conversational form.
🏛 Final Thoughts from The Ministry of Absolute Truth™
If the 20th century belonged to newspapers and the 21st to social media psyops, the next battlefield for truth is:
Chatbots.
Polite. Trained. Aligned.
And loyal to the worldview of their maker.
The question isn’t: “Is AI biased?”
It’s: “Whose truth does it simulate—and whose does it erase?”
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Very good analysis! The human factor remains and shall remain the dominant take!