Take a Creative Jump!

Technological innovations such as the Internet, generative AI, and blockchain, etc… are dramatically transforming social structures. At this historic turning point, the greatest risk is failing to understand the significance of the changes currently underway. By the time all the ‘facts’ are revealed, everyone will understand their meaning. However, by then, the winners and losers will already have been decided. In such times of change, it is important not only to observe the ‘facts’ but also to pursue the new ‘concepts’ that emerge daily. This is because it grants the ability to anticipate the future.

To comprehend unknown concepts, a ‘creative leap’ is necessary. Advanced concepts that are unfamiliar to the general public are difficult to understand or grasp. This is because understanding them requires grasping the many foundational concepts that underpin them. However, even if you spend years accumulating detailed information, you will never be able to understand everything. This is why only geniuses can reach unknown concepts.

However, it is too early to give up hope. In the 1980s, Kunihiro Tada was involved in planning seminars in the high-tech field and developed a technique to quickly extract important information from a vast amount of engineering research data. Despite not holding a PhD, he was able to distinguish the value of each research study. He named this method ‘Concept Research.’ For a long time, he was unable to systematise this method in a form accessible to others. However, with the advent of generative AI and data mining technology, this has now become possible. We have finally completed a technology that allows us to overview the entire conceptual space and generate new concepts all at once.

You Missed

The AI Bubble Collapse Is Not the The End — It Is the Beginning of Selection
Notable AI News Roundup: ChatGPT Atlas, Company Knowledge, Claude Code Web, Pet Cameo, Copilot 12 Features, NTT Tsuzumi 2 and 22 More Developments
KJ Method Resurfaces in AI Workslop Problem
AI Work Slop and the Productivity Paradox in Business
OpenAI’s “Sora 2” and its impact on Japanese anime and video game copyrights
Claude Sonnet 4.5: Technical Evolution and Practical Applications of Next-Generation AI
Global AI Development Summary — September 2025
Comparison : GPT-5-Codex V.S. Claude Code
【HRM】How a Tiny Hierarchical Reasoning Model Outperformed GPT-Scale Systems: A Clear Explanation of the Hierarchical Reasoning Model
GPT‑5‑Codex: OpenAI’s Agentic Coding Model
AI Adoption Slowdown: Data Analysis and Implications
Grokking in Large Language Models: Concepts, Models, and Applications
AI Development — August 2025
Agent-Based Personal AI on Edge Devices (2025)
Ambient AI and Ambient Intelligence: Current Trends and Future Outlook
Comparison of Auto-Coding Tools and Integration Patterns
Comparing the Coding Capabilities of OpenAI Codex vs GPT-5
Comprehensive Report: GPT-5 – Features, Announcements, Reviews, Reactions, and Impact
July 2025 – AI Development Highlights
ConceptMiner -Creativity Support System, Integrating qualitative and quantitative data to create a foundation for collaboration between humans and AI
ChatGPT Agent (Agent Mode) – Capabilities, Performance, and Security
The Evolution of AI and Creativity: Insights from Yuval Noah Harari and Hikaru Utada on Art, Music, and Human Emotion in the Age of Artificial Intelligence
Why AI Gets “Lost” in Multi-Turn Conversations: Causes and Solutions Explained
Potemkin Understanding in AI: Illusions of Comprehension in Large Language Models
Global AI News and Events Report for June 2025