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.
Tech
Robotics Firm Says AI-Powered Humanoid Robots Could Carry Weapons by 2027
A U.S. robotics company developing artificial intelligence-powered humanoid robots says weaponised versions of the technology could begin testing as early as next year, following field trials in Ukraine, raising fresh questions about the future of autonomous systems in modern warfare.
Foundation Future Industries, which builds humanoid robots for commercial and military applications, has already tested its Phantom robots in Ukraine in non-combat roles. Chief Executive Officer Sankaet Pathak said the company expects to explore weaponisation after evaluating the results of those pilot programs.
Pathak said public fears are often shaped by science fiction but argued that humanoid robots would not replace existing weapons such as missiles or drones.
“I think we have this psychological reaction, which is like the Terminator, but the reality is not really like that,” he said.
Instead, he believes humanoid robots could be deployed for highly precise military operations where limiting damage to infrastructure and reducing civilian casualties are priorities.
According to Pathak, drones and conventional weapons remain more effective for large-scale attacks, while humanoid robots would be better suited to complex ground missions requiring careful movement through buildings and urban environments.
He added that robots are unlikely to replace drones on the battlefield but could help reduce risks faced by soldiers in increasingly dangerous combat zones.
Currently, there is no international treaty specifically regulating humanoid or autonomous combat robots. Their use falls under existing international humanitarian law, which requires distinction between military targets and civilians during armed conflict.
The issue has drawn increasing attention from the United Nations. Last week, UN Secretary-General António Guterres renewed calls for restrictions on lethal autonomous weapons systems, describing them as “killer robots” capable of selecting and attacking targets without human judgment. The UN has been negotiating a treaty on lethal autonomous weapons since 2023, with proposals calling for a legally binding agreement by 2026.
Pathak argued that humanoid robots should be treated similarly to other precision-guided military systems already in service, including armed drones and unmanned ground vehicles.
Foundation’s robots rely on artificial intelligence built around so-called world models. Unlike large language models that predict text, these systems learn from video, simulations and spatial information to understand physical environments and predict how objects and people move over time.
The company believes these models are essential for creating robots capable of safely navigating complex surroundings.
While concerns persist about advanced AI becoming uncontrollable, Pathak said the greater short-term threat comes from criminals or extremist groups misusing publicly available AI tools for cyberattacks, disinformation campaigns or modifying commercial drones for attacks.
He believes scenarios involving AI independently rewriting its own objectives and improving itself remain several major technological breakthroughs away.
Beyond combat, Foundation sees immediate military uses for its humanoid robots in logistics, reconnaissance and building inspections. Those capabilities have already been evaluated in Ukraine, helping shape the development of the company’s next-generation Phantom 2 robot.
The upgraded model is designed for harsh outdoor conditions, offering waterproof and dustproof protection, an increased payload capacity of around 80 kilograms and greater resistance to impacts.
Foundation currently leases Phantom robots to commercial customers for about $100,000 annually per unit, while military buyers purchase the machines at similar prices. Its investors include Eric Trump, payment company Stripe and venture capital firm Define.
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