Creating favorite opinions

DX だけでは守れない：いま日本企業に必要なのは “AI による防御力 ” ― 大企業のシステム障害が示す、セキュリティ AI 導入の必然性 ― 近年、日本企業はDX（デジタルトランスフォーメーション）を推進し、業務効率化や意思決定の迅速化を実現してきました。 しかしその一方で、「基幹システムの統合」が新たなリスクを生み出しています。 複雑に結びついたシステムは、ひとたび突破されれば全体が麻痺する――。 最近発生した大企業のシステム障害は、まさにそのリスクを可視化した事例です。 ⸻ 週末を狙う“静かな侵入者” 攻撃者が選ぶのは、週末や連休前の夜です。 金曜の夜に侵入し、社員がいない土日に権限を昇格、社内ネットワークを横断し、月曜朝に暗号化を発動する。 この「週末ランサムウェア」パターンは、世界中で確認されており、日本企業も例外ではありません。 攻撃者は、人間の勤務リズムと心理的盲点――つまり「誰も見ていない時間帯」――を正確に突いてきます。 ⸻ AIでしか防げない“異常の兆候” ランサムウェアの兆候は、単発では目立たず、複数のシステムをまたがって現れます。 そのため、従来の監視体制では検知が遅れやすいのです。 AIを導入すれば、こうした微細な兆候を「つながり」として捉えられます。 AIが検知できる代表的な兆候は次の3つです。 1. 時間異常 ：週末・深夜・早朝のログインや権限操作 2. 権限異常 ：通常の社員が行わない管理者操作や昇格要求 3. 相関異常 ：複数端末で同時発生する小規模エラーの連動 人間では見逃すようなパターンを、AIは相関解析によって“早期警報”として提示できます。 ⸻ 人事異動期の「監視の空白」も狙われる 特に9月末や3月末など、人事異動期は注意が必要です。 この時期は引継ぎ作業やアカウント整理が重なり、セキュリティ部門の体制も一時的に緩みます。 監視担当が入れ替わり、SOC（監視センター）のアラート対応が遅れやすい。 攻撃者にとって、まさに“最適なタイミング”です。 AIによる自動検知があれば、こうした「人の隙間」を補うことができます。 ⸻ DXを守るのはAI、防ぐのもAI 多くの企業がAIを「業務効率化のためのツール」として導入しています。 しかし今後は、AIを「防御のための同僚」として捉える必要があります。 AIは...

Developing Emotionics App for macOS: Visualizing Human Emotions as Data Introduction Explain that Emotionics was originally a conceptual framework to understand emotions like chemical elements, and now you’re turning it into a tangible tool. I have been developing an Emotionics app for macOS. The app is based on the Emotional Periodic Table , which classifies emotions as if they were elements in chemistry. The goal is to visualize emotional states and reactions in a structured way. Core Concept Emotionics treats emotions not just as feelings, but as data structures that can interact, combine, and evolve. By making emotions visible, I hope to bridge the gap between human psychology and machine perception. About the App The macOS app allows users to click on emotions in the periodic table and visualize intensity changes through gradual color transitions — from white to black. Each session can be exported as both a PNG image and a JSON file with timestamps. This dual format enables both ...

+AI = Today’s Modernization +AI is today’s modernization. “+AI” means adding artificial intelligence as an essential layer of every modern system — not as a tool, but as a co-creator of decisions, efficiency, and design. Through conversation with ChatGPT, my thoughts become 30% to 300% higher than without it. Real estates+AI, Infrastructure+AI, City+AI, Education+AI — everything will gradually evolve into +AI. Each layer of +AI evolution supports the next: Real estates+AI lead to smarter cities; City+AI enables System+AI governance; and System+AI eventually evolves into Meta-System+AI — a civilization that can co-think with machines. At the center of all +AI lies Human+AI — people who learn, decide, and create together with artificial intelligence. This is not the replacement of humanity, but its extension.

 我制作了用于情绪工学的《情绪周期表》，欢迎自由使用。

Emotionics: A Framework for Modeling Human Emotions as Elements for AI Understanding 1. Background and Motivation Human–AI interaction is rapidly becoming a central challenge in the 21st century. While AI excels at processing language and numbers, it still lacks a robust framework to understand human emotions. Existing sentiment analysis often reduces emotions to “positive/negative,” which is insufficient for nuanced communication, trust-building, and decision-making. Emotionics is a conceptual framework that treats emotions as elements in a periodic table of emotions , inspired by both chemistry and cognitive science. Just as chemistry models invisible atoms to understand matter, Emotionics models emotions to understand invisible human states. 2. Core Concepts of Emotionics Periodic Table of Emotions (Ten): A structured map of fundamental emotions, each treated as an “element” with defined relationships. Zetsu (Self-Mapping): Mapping one’s own internal emotional state to the peri...

The Combination of Social Media and Traditional Media In recent years, the interaction between social media platforms and traditional media has created a powerful cycle that can transform individual emotions into political networks. This cycle can be understood in three stages: Expression of Discomfort on Social Media People often share small frustrations or feelings of fatigue on social media. These posts attract attention and create a sense of shared experience. (Example: “Very tired.” → Discomfort) Conversion of Discomfort into Anger through Media Traditional or video-based media provide narratives that identify a target or “enemy” for these frustrations. This process converts everyday discomfort into anger, which is a more persistent and mobilizing emotion. (Example: “Bad things are caused by X!” → Anger) Return to Social Media and Formation of Followers Once discomfort has been transformed into anger, individuals return to social media. By following a leader or community...

Green Planet System(GPS) The Green Planet System (GPS) is defined as “a collective term for the unknown.” If BPS is a system that optimizes what is known, then GPS is a system that preserves what is not yet known.