2026 Will Be the First Year of Enterprise AI

— Generative AI Is Moving into the Core of Organizations Generative AI has evolved at an astonishing pace over the past few years. Writing, summarization, translation, planning support, and programming assistance have reached a level that is already more than…

Does the Age of Local LLMs Democratize AI?

— Industrial Reorganization Triggered by Nemotron 3 and the Recurrence of Internet History 1. Nemotron 3 as a Turning Point NVIDIA’s announcement of Nemotron 3 carries significance beyond the release of yet another high-performance language model. What it fundamentally signals…

Data Science and Buddhism: The Ugly Duckling Theorem and the Middle Way

Modern data science traces its roots to the pattern-recognition research of the 1960s. In Japan, one of the earliest successes was the development of machines capable of reading handwritten postal codes. During this formative period, philosopher-scientist Satoshi Watanabe proposed the…

Google’s Gemini 3: Launch and Early Reception

Overview – What is Gemini 3? Google’s Gemini 3 is the latest flagship AI model from Google DeepMind, positioned as the most advanced in Google’s lineup of generative AI systems. It’s a “natively multimodal” model – meaning it can handle text, images,…

AI Governance in Corporate AI Utilization: Frameworks and Best Practices

Executive Summary 1. Definition and Purpose of AI Governance In a corporate context, AI governance refers to the established set of processes, policies, and organizational structures that guide how AI systems are developed and used, to ensure they align with…

AI Mentor and the Problem of Free Will

—How Far Can Human Consciousness Be Externalized?— 1. Prologue: AI as a Mirror of the Mind What humanity entrusts to artificial intelligence is not mere automation or efficiency.It is, more profoundly, the externalization of self-understanding—a continuation of the ancient project…

The AI Bubble Collapse Is Not the The End — It Is the Beginning of Selection

— Reading the Coming AI Transition Through the Lens of the Internet Revolution In 2025, financial institutions and technology analysts around the world are warning of an “AI bubble collapse.” Stock prices of generative-AI firms swing violently, hype cycles rise…

Notable AI News Roundup: ChatGPT Atlas, Company Knowledge, Claude Code Web, Pet Cameo, Copilot 12 Features, NTT Tsuzumi 2 and 22 More Developments

This weekly roundup compiles twenty five notable updates and trends across generative AI, agent interfaces, enterprise adoption, model releases, safety and societal impact. The items selected emphasize what business leaders, product builders, developers and knowledge workers should know right now.…

KJ Method Resurfaces in AI Workslop Problem

To solve the AI ​​Workslop problem, an information organization technique invented in Japan in the 1960s may be effective. Kunihiro Tada, founder of the Mindware Research Institute, says that by reconstructing data mining technology in line with the KJ method,…

AI Work Slop and the Productivity Paradox in Business

Introduction: Modern AI tools promise to supercharge productivity, automating tasks and generating content at an unprecedented scale. Yet many business professionals are noticing a curious problem: an overabundance of low-quality, AI-generated work that adds noise and overhead instead of value.…

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2026 Will Be the First Year of Enterprise AI
Does the Age of Local LLMs Democratize AI?
Data Science and Buddhism: The Ugly Duckling Theorem and the Middle Way
Google’s Gemini 3: Launch and Early Reception
AI Governance in Corporate AI Utilization: Frameworks and Best Practices
AI Mentor and the Problem of Free Will