AI Trends

Anthropic’s ‘Mythos’ model unveiling heightens cyber security threats in the financial sector, prompting responses from regulatory bodies worldwide. This analysis explores the evolution of AI collaboration models, including the rapid growth of AI coding assistant ‘Cursor’ and Cerebras’ renewed Nasdaq listing bid.

The reality of AI coding tool adoption is best explained by the ’20-60-20′ rule. Why is even Google facing challenges? The solution lies in corporate culture innovation and investment in AI agents.

An analysis of how Anthropic’s Claude pricing changes affect businesses and developers. This article presents AI utilization strategies to maximize cost-efficiency and future outlook in the era of AI agents.

OpenAI has unveiled its cybersecurity model, ‘GPT-5.4-Cyber.’ This article analyzes the model’s features, functionalities, and its impact on the cybersecurity market.

This article analyzes the challenges and opportunities of the AI era by focusing on resolving AI temporal errors, investing in data centers, and driving industrial AI Transformation (AX), all crucial for ensuring AI reliability and expanding infrastructure.

Can the UNIST-led AI transformation project in shipbuilding, through the development of hyperscale AI, drive industrial AX innovation? We analyze its potential to become a new growth engine for South Korea, alongside addressing data acquisition, talent development, and ethical challenges.