Urgent.News

What's breaking now, across thousands of outlets.

AI

Korea has no plans to follow US push to replace term AI with 'super intelligence'

Korea is not considering to replace the term artificial intelligence (AI) with “super intelligence,” or SI, according to the Ministry of Science and ICT, distancing itself from a terminology push underway in the United States. An official from the ministry told The Korea Times that the government has no plans of replacing AI with SI. “There has been no consideration at our level of using such…

Korea has no plans to follow US push to replace term AI with 'super intelligence'

The Ministry of Science and ICT in South Korea has stated that the country has no intention of replacing the term "artificial intelligence" (AI) with "super intelligence" (SI). This was clarified by an official from the ministry who emphasized that the government has not considered using SI as a replacement for AI. The official's statement came after a Deputy Prime Minister and Science Minister, Bae Kyung-hoon, used the term SI in a National Assembly audit while discussing U.S. efforts to gain leadership in advanced AI competition.

The U.S. administration, under the Trump regime, has been advocating for the use of SI instead of AI. Trump signed an executive order on September 29 titled "Inaugurating the Era of Super Intelligence," which required federal executive agencies to use SI in place of AI in official documents, including websites, reports, and policy papers.

This shift has garnered attention from the private sector as well, with Elon Musk expressing his intention to rename SpaceX's AI division.

Written by urgent.news from The Korea Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 1 other outlet

Read the original at koreatimes.co.kr →

More in AI

Fine-tuning Qwen2.5-1.5B on a Mac to fix a parroting chatbot (and halve the prompt)

By Georgii Kharlampiiev, Mindscend Our company website is a single chat page backed by a model we host ourselves. This post walks through how we fine-tuned that model with LoRA on a MacBook, how we…

  • Fine-tuned Qwen2.5-1.5B model to reduce parroting in chatbot
  • Added 91-token reminder to last user turn and implemented off-topic classifier
  • Achieved 0.745 validation loss with 0.684% trainable parameters

Frostwise — know your frost dates, plant with confidence

Frostwise — know your frost dates, plant with confidence DEV Hacktoberfest AI Challenge — Week 1: Touch Grass. Every gardener knows the heartbreak: a surprise late frost wipes out weeks of seedlings…

  • Frostwise predicts frost dates accurately using real climate data and machine learning.
  • The tool generates hyperlocal planting calendars tailored to predicted frost dates.
  • Frostwise assists gardeners in planning planting schedules confidently worldwide.

Cents Matter: Does a Model Notice When One Financial Fact Changes?

This is a submission for the Kaggle Benchmarking Challenge . What I Benchmarked A financial check can fail while looking almost right.

  • Gemini 3.7 Flash achieved highest accuracy at 97.5%
  • Claude Haiku performed poorest with 47.5% accuracy
  • Models sometimes provide correct warning but wrong correction

More from Thursday 8 October →