Kagi Translate’s AI answers the question “What would horny Margaret Thatcher say?”

Kagi Translate’s AI answers the question “What would horny Margaret Thatcher say?”

For those who have navigated the Internet over the years, tools like Google Translate have become essential for converting text across a vast array of languages. But what if you wanted to translate text into unconventional forms like 'LinkedIn Speak,' 'Gen Z slang,' or even a cheeky take on 'horny Margaret Thatcher'? Recently, users have discovered that Kagi Translate, an AI-driven translation tool, can handle these unusual requests with surprising ease. This unexpected feature of Kagi Translate has sparked intrigue and amusement across social media platforms, showcasing the playful applications of large language models. While the tool is recognized primarily as a premium alternative to Google Search, Kagi launched its translation service in 2024, positioning it as a more effective solution compared to established tools like Google Translate and DeepL. At its inception, Kagi Translate offered straightforward dropdown menus allowing users to select from 244 languages for their translation tasks. However, in February 2025, a user on Hacker News discovered a workaround that permitted translations into quirky forms such as 'rude man with a Boston accent' without any technical glitches. Recently, Kagi's social media presence has further highlighted its capabilities by showcasing the ability to mimic 'Reddit Speak' and generate consultant jargon with a few simple clicks. On a particularly eventful Tuesday morning, the innovative uses of Kagi Translate took a new turn when a Hacker News user joyfully reported the tool's capacity to output 'LinkedIn Speak.' As discussions unfolded, it became clear that users could easily modify the output language just by inputting commands in the search bar, prompting the AI to adapt in real-time. This fascinating blend of creativity and technology reveals both the fun and the challenges of using generalized AI tools in everyday scenarios.

Sources : Ars Technica

Published On : Mar 18, 2026, 22:10

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