What Happened
If you've been using the Internet for any length of time, you've probably used a tool like Google Translate to convert webpages or snippets of text to and from languages ranging from Uzbek to Esperanto.
Why It Matters
But what if you want to translate into more esoteric "languages" like "LinkedIn Speak," "Gen Z slang," or "horny Margaret Thatcher"?
Key Details
- This week, many people across the Internet have been bemused to find that the AI-powered Kagi Translate can perform these and countless other unlikely "translation" tasks.
- And while the collective discovery highlights the playful, creative side of large language models, it also exposes the risks of letting users play with generalized LLM tools.
- While you might know Kagi best as the paid competitor to Google's ever-worsening search product, the company launched its Kagi Translate tool back in 2024, saying at the time that it was a "simply better" competitor to tools like Google Translate and DeepL.
- At launch, the company said Kagi Translate "uses a combination of LLMs, selecting and optimizing the best output for each task," a fact that "can occasionally lead to quirks that we're actively working to resolve."Read full article Comments
Background Context
If you've been using the Internet for any length of time, you've probably used a tool like Google Translate to convert webpages or snippets of text to and from languages ranging from Uzbek to Esperanto. But what if you want to translate into more esoteric "languages" like "LinkedIn Speak," "Gen Z slang," or "horny Margaret Thatcher"? This week, many people across the Internet have been bemused to find that the AI-powered Kagi Translate can perform these and countless other unlikely "translation" tasks. And while the collective discovery highlights the playful, creative side of large language models, it also exposes the risks of letting users play with generalized LLM tools. What is a "langua
What To Watch Next
Track official statements, independent verification, and regional impact updates in the next 24 to 48 hours.
Editorial Next Step
Add your local context, fact checks, quotes, and analysis before or after publication.
Source: Ars Technica – All content – Original Link
Source: Ars Technica – All content
