I ran the same research prompt through 6 AI systems in 5 languages. The results were not the same

Reddit r/artificial News

Summary

An experiment running the same research prompt about LENR and superconductivity through six AI systems in five languages reveals significant linguistic bias, with non-English queries surfacing information about real industrial commitments that English-only searches miss.

Same prompt. Six models. Five languages. The English results and the non-English results were completely different worlds. The language you query in filters what reality your AI shows you.
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Cached at: 05/18/26, 04:36 PM

# What English-Only Research Misses — And How I Found It Source: [https://medium.com/@lukas.w93/what-english-only-research-misses-and-how-i-found-it-03e05e6a603d](https://medium.com/@lukas.w93/what-english-only-research-misses-and-how-i-found-it-03e05e6a603d) Press enter or click to view image in full size ## Most people research emerging technologies in English\. One language, one set of databases, one filtered picture of the world\. I wanted to know what that filter was hiding\. So I built a simple test: the same structured prompt about LENR and superconductivity, run through Gemini, DeepSeek, Grok, ChatGPT, Le Chat, and Claude \- in English, Chinese, Russian, Spanish, and Hindi\. The English results were largely skeptical\. Academic controversies, fringe classifications, historical debate\. The[non\-English](https://neobild.de/)results were different\. [![Lukas Weissmann](https://miro.medium.com/v2/resize:fill:64:64/1*dmbNkD5D-u45r44go_cf0g.png)](https://medium.com/@lukas.w93?source=post_page---byline--03e05e6a603d---------------------------------------) ## What actually came back \- verified: The Hindi\-language run surfaced HYLENR, a Hyderabad startup that received a government patent from India for LENR technology\. In August 2025 they closed a $3M Pre\-Series A round\. In March 2025 they signed an MoU with TakeMe2Space to test their thermal modules in orbit\. Their Chief Innovation Officer is Dr\. Prahlada Ramarao, formerly of DRDO\. None of this appeared in the English run\. The Japanese signals came through cross\-referencing: Clean Planet opened a Series B in February 2026 backed by Mitsubishi, KEPCO, and Miura \- industrial partners, not speculative VCs\. Lab to boiler manufacturer in one funding round\. China’s State Grid committed 4 trillion yuan to grid upgrades through 2030, a 40% increase from the previous five\-year period, with explicit plans for off\-grid and microgrid development\. Whether this connects to unconventional energy or simply to solar and wind overflow is an open question \- but the infrastructure pattern is real\. ## What this means: This is not a claim that LENR works\. It is a claim that the language of your query actively shapes what reality your AI system shows you\. Three independent state actors are making real financial and industrial commitments in this space\. That is worth knowing \- regardless of the underlying physics\. [The methodology](https://medium.com/@lukas.w93/how-i-used-6-ai-systems-across-5-languages-to-track-lenr-and-superconductivity-signals-a-2ba2aaaf5da8)is reusable for any field where you suspect geographic or linguistic bias in your data\.

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