Genesislab CEO Interview — Korea's AI Basic Law and 2025 IPO Plans

Newsworks ran a solo interview with Genesislab CEO Lee Young-bok covering the case for Korea's AI Basic Law, ViewinterHR's 140 customer organizations, the Dr. Listen and Zuicy new-business lines, and a planned early-2025 KOSDAQ listing with Hana Securities as lead underwriter.

Share
Genesislab CEO Interview — Korea's AI Basic Law and 2025 IPO Plans

Source: Newsworks (뉴스웍스) — “Trust First — Then the AI Industry Takes Off”: Genesislab CEO Calls Korea’s AI Basic Law Urgent Original in Korean

Newsworks’ ‘People Newsworks Met’ series ran a solo interview with Genesislab CEO Lee Young-bok. The conversation spans the AI Basic Law, ViewinterHR’s current footprint, new-business strategy, and KOSDAQ listing plans — all in one piece.

Lee was direct about regulation. “Fields like healthcare, mobility, and hiring have outsized impact on people’s lives. They need regulation.” His position: “Markets work better when there’s regulation.” He also proposed an incentive structure: rewards for private companies that follow AI ethics guidelines.

On ViewinterHR: 140 customer organizations, and the ROK Army now looking at extending AI into a third interview stage. In Lee’s reading, “AI interviews are being assessed as delivering quality that exceeds human interviewers.”

Two new-business pillars come through. Dr. Listen, the AI mental-health counselor, is supplied to foundations and universities with overseas support in progress. Zuicy, the AI fandom platform, has reached around 500,000 registered users and is generating tens of millions of won in monthly revenue.

The IPO timeline is concrete. The company is targeting a KOSDAQ listing early next year, with Hana Securities as lead underwriter.

The full interview — and the detailed reasoning behind Lee’s policy proposals — is available in the original article.

Read more

The Craft of Multi-Agent Collaboration Design

The Craft of Multi-Agent Collaboration Design

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.

Multi-Agent 협업 설계의 기술

Multi-Agent 협업 설계의 기술

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.