Home
Tools
Models
App
Prompts
News
Topics
Submit for inclusion
English
English 日本語 한국어 Português español Deutsch Русский Français 繁體中文 简体中文
option
Home Close
Home
Tools
Category Ranking Generate Cover Generate Image Skill
Models
Large Language Model Multimodal Model
App
Prompts
Prompts Image Prompts
News
News Flash News
Topics
Submit for inclusion
Submit App Submit Tool
Create an account Sign In
Change Language English Change Language
Settings
English EN 日本語 JA 한국어 KO Português PT español ES Deutsch DE Русский RU Français FR 繁體中文 ZH-TW 简体中文 ZH-CN
Home
Flash News
Content
LarryWilliams
LarryWilliams
June 12, 2026

SK Hynix plans to introduce external generative AI models like ChatGPT and Microsoft 365 Copilot in non-core areas to reshape internal workflows. CEO Koo Ro-jin said the company is assessing security and system architecture for integrating external AI while protecting core tech. Currently using self-built open-source AI, the move follows Samsung’s lead. Analysts predict enterprise AI agents will boost chip demand.

SK Hynix plans to introduce external generative AI models like ChatGPT and Microsoft 365 Copilot in non-core areas to reshape internal workflows. CEO Koo Ro-jin said the company is assessing security and system architecture for integrating external AI while protecting core tech. Currently using self-built open-source AI, the move follows Samsung’s lead. Analysts predict enterprise AI agents will boost chip demand.
0
0
Share Click to copy the link
Comments (0)
0/300
Submit
Author KennethMartin KennethMartin September 23, 2026
Tom Siegel, former Google Trust and Safety founder, warns AI poses greater risks to children than social media, citing mental health and cognitive offloading threats. Joining Common Sense Media, he urges stricter age verification and features to disable AI modes, arguing self-regulation is insufficient. Google and OpenAI defend current safeguards, noting parental controls and behavioral signals help identify minors, though Siegel insists urgent action is needed to avoid lawsuits and severe harm as AI adoption among youth accelerates.
0
0
Author JoseMartínez JoseMartínez September 23, 2026
WHO released Ethical Review and Regulation of AI-Related Health Research on Sep 21 2026 warning that without strong oversight AI poses risks to human rights and equity. The report categorizes AI health research into three types and stresses strengthening ethical oversight across the entire lifecycle. It highlights that current AI development is concentrated in high-income regions urging low and middle income countries to build local capacity for fair benefit sharing. WHO emphasizes that Research Ethics Committees need more expertise and resources while calling for multi-stakeholder collaboration to ensure AI medical innovations remain safe trustworthy and beneficial globally.
0
0
Author RalphMartínez RalphMartínez September 23, 2026
Elon Musk's Grok Bot AI agent surpassed 400,000 weekly active users about a month after launch. Data as of September 14 shows the user base reached 418,000, marking a 24% week-over-week growth. This rapid expansion highlights strong market popularity and effective user penetration for the SpaceX AI team's latest offering, signaling intensified competition in the artificial intelligence sector.
0
0
Author RyanSmith RyanSmith September 23, 2026
OpenAI announced a shift in AI safety governance by involving independent third-party organizations early in the development cycle for systematic risk assessments. This move aims to address growing public and regulatory concerns over AI controllability. The company outlined four core priorities for external evaluations: establishing a strong independent operational mechanism, ensuring scientific rigor, implementing robust daily safety practices, and defining clear safety responsibilities. This proactive approach seeks to build a security defense through collaboration with impartial external forces, responding to the accelerating iteration of cutting-edge AI models and long-standing scrutiny regarding technology safety.
0
0
Author MarkLopez MarkLopez September 23, 2026
Meta's AI agent Muse was heavily inspired by OpenClaw, according to product manager Nat Friedman. After community members noted identical system files and configuration settings between the two, Friedman admitted Muse was influenced by OpenClaw's design but built from scratch. He praised OpenClaw creator Peter Steinberger, stating the original approach was correct. The goal was to make such personal agents safe, reliable, and scalable for billions of users. This reflects Meta's strategy of adopting promising open-source features, similar to its past adoption of Snapchat Stories.
0
0
/live/7555
OR