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business#facial recognition📝 BlogAnalyzed: Jan 21, 2026 06:17

South Korea's Facepay Revolution: Facial Recognition Payments Take Off!

Published:Jan 21, 2026 06:10
1 min read
Techmeme

Analysis

South Korea is at the forefront of a cashless future! The rapid adoption of facial recognition payments, spearheaded by apps like Toss, demonstrates the growing trust in AI-powered technology and its convenience. This is an exciting glimpse into how we'll be making purchases in the very near future.
Reference

Payments using facial recognition are becoming more widespread in cashless South Korea, as artificial intelligence and 3D photography increase accuracy.

product#agent📝 BlogAnalyzed: Jan 20, 2026 02:45

Newcomer's Triumph: Streamlining AI Agents for LIPS App Success

Published:Jan 19, 2026 22:00
1 min read
Zenn Claude

Analysis

A new team member at LIPS, a popular cosmetics app, is leading the charge in optimizing the company's AI agent infrastructure. This initiative promises to enhance user experience by leveraging AI for product recommendations, reviews, and more, streamlining the app's functionality for millions of users.
Reference

LIPS, a cosmetics review app, provides a wide range of features to users, including reviews, product searching, ranking, recommendations, and AI diagnosis.

Business#AI Applications🏛️ OfficialAnalyzed: Jan 3, 2026 09:30

Wrtn Builds Lifestyle AI with GPT-5 for Millions in Korea

Published:Oct 2, 2025 10:00
1 min read
OpenAI News

Analysis

The article highlights Wrtn's successful deployment of AI applications, leveraging GPT-5, to a large user base in Korea. It emphasizes the creation of a 'Lifestyle AI' that integrates various aspects of daily life and its expansion plans in East Asia. The focus is on user scale and application of advanced AI technology.
Reference

N/A

Ask HN: How ChatGPT Serves 700M Users

Published:Aug 8, 2025 19:27
1 min read
Hacker News

Analysis

The article poses a question about the engineering challenges of scaling a large language model (LLM) like ChatGPT to serve a massive user base. It highlights the disparity between the computational resources required to run such a model locally and the ability of OpenAI to handle hundreds of millions of users. The core of the inquiry revolves around the specific techniques and optimizations employed to achieve this scale while maintaining acceptable latency. The article implicitly acknowledges the use of GPU clusters but seeks to understand the more nuanced aspects of the system's architecture and operation.
Reference

The article quotes the user's observation that they cannot run a GPT-4 class model locally and then asks about the engineering tricks used by OpenAI.