Tech
Study Finds Polish Outperforms English as the Best Language for Communicating with AI
A new international study has revealed that Polish, not English, is the most effective language for communicating with artificial intelligence systems — a surprising finding that challenges long-held assumptions about English’s dominance in the tech world.
Researchers from the University of Maryland (UMD) and Microsoft tested 26 different languages across several leading AI models, including those developed by OpenAI, Google Gemini, Qwen, Llama, and DeepSeek. Their goal was to determine which languages yielded the most accurate and effective responses from the systems.
The results showed that Polish achieved an impressive 88 percent average accuracy rate in completing tasks, outperforming all other tested languages. French, Italian, and Spanish followed closely, while English ranked only sixth with an 83.9 percent accuracy rate.
“Our experiment yielded some surprising and unintuitive findings,” the researchers wrote. “English did not perform best across all models — in fact, it came sixth out of 26 languages when long texts were assessed, while Polish proved to be the leading language.”
The study’s outcome has drawn attention not only from linguists and AI experts but also from national institutions in Poland. The Polish Patent Office highlighted the results on social media, noting that “Polish has long been considered one of the most difficult languages to learn. It turns out that humans struggle with it — but not AI.”
The finding is particularly remarkable given the relatively small amount of Polish-language data used to train most AI systems. Despite this, the models demonstrated strong comprehension and precision in following Polish-language commands, outperforming languages with far greater digital footprints such as English and Chinese.
Chinese, despite being one of the most widely spoken languages in the world and heavily represented in online data, ranked near the bottom — fourth from last — among the 26 languages tested.
According to the study, the top ten languages most effectively understood by AI models are:
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Polish – 88%
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French – 87%
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Italian – 86%
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Spanish – 85%
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Russian – 84%
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English – 83.9%
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Ukrainian – 83.5%
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Portuguese – 82%
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German – 81%
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Dutch – 80%
The researchers said their findings highlight the complexity of how AI models process linguistic structures and suggest that grammatical richness and precision — characteristics of Polish — may actually help AI systems interpret meaning more accurately.
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Sweden’s ‘W’ Platform Joins Europe’s Push to Build Big Tech Alternative
A new Sweden-based social media platform called “W” has entered the growing field of European tech initiatives seeking to challenge the dominance of US-based Big Tech companies, as the European Commission announced its participation on Wednesday.
The platform, which was first introduced at the World Economic Forum in January, promotes itself as a digital space built on “verified human users, transparency, privacy and free speech.” It has now launched a beta version, with access limited to users who pass a vetting process before being allowed to post content.
European Commission President Ursula von der Leyen and European Council President Antonio Costa are among the early official users of the platform, signalling political support for the initiative. Users are required to verify their identity either by registering their real name or by using “W Identity,” a separate verification tool that scans passports or national identity documents directly on a user’s device.
According to the company, W was developed by a group of entrepreneurs working across media, technology and artificial intelligence. The platform states that it plans to host data exclusively on European servers operated by European companies, aligning its infrastructure with EU data protection standards.
CEO Anna Zeiter has said the platform intends to rely on European service providers, including Switzerland-based encrypted email company Proton and Finland’s cloud computing firm UpCloud, as part of its commitment to privacy-focused operations within Europe.
The launch comes amid a broader push across the continent to reduce dependence on US technology giants and strengthen what policymakers describe as “digital sovereignty.” Governments in France, Germany and the Netherlands have previously raised concerns that reliance on foreign-owned platforms could expose Europe to security risks and limit control over sensitive data.
W is part of a wider wave of European alternatives to mainstream social media networks. Other emerging platforms include Bulle in France, Eurosky, Monnett and eYou, all aiming to offer regionally governed digital ecosystems.
Some of these platforms recently signed a declaration supporting the development of Europe’s “social stack,” a shared digital infrastructure intended to provide a more diverse and resilient online environment. The initiative argues for reducing reliance on dominant global platforms and promoting alternatives with governance structures rooted in Europe.
However, analysts have noted that competing with established social media giants presents significant challenges. Experts have pointed out that new platforms often struggle to maintain large user bases, as they typically lack the scale, engagement features and convenience that have made existing networks dominant in global digital communication.
Despite these challenges, supporters of W and similar projects say the push reflects a broader effort to reshape Europe’s digital landscape and assert greater control over data, privacy and online governance in an increasingly competitive global tech environment.
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