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Where Should AI Memory Live?

A Loose-Coupled Architecture for GPT-6 and Associative Knowledge Engines Abstract With the emergence of GPT-6–class models offering persistent, personalized memory, the question of where AI memory should reside becomes a central architectural and governance issue—especially for enterprise and organizational use.…

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.…

OpenAI’s “Sora 2” and its impact on Japanese anime and video game copyrights

The Emergence of Sora 2 On October 1, 2025, OpenAI announced the video generation model “Sora 2” and a social app for iOS that uses the same model. forest.watch This app allows users to generate videos with realistic textures and…

Claude Sonnet 4.5: Technical Evolution and Practical Applications of Next-Generation AI

Released in September 2025, Claude Sonnet 4.5 is the latest and most advanced model in Anthropic’s Claude 4 family. This model transcends the limitations of traditional AI assistants, achieving superior reasoning capabilities, practicality, and efficiency. This article provides a comprehensive…

Global AI Development Summary — September 2025

September 2025 underscored a turning point: the phase of foundational breakthroughs is giving way to one of deployment, governance, and societal integration. Advances in technology, infrastructure, policy, and strategy are now unfolding in parallel—spotlighting both opportunity and risk. Below is…

Comparison : GPT-5-Codex V.S. Claude Code

1. Overview and Background GPT-5-Codex: Background, objectives, and architecture (as known) Release & positioning Architecture & training methodology (public hints and inferences) Training data scale / types (publicly known or inferred) In short, GPT-5-Codex is a specialized, engineering-focused spin of…

You Missed

Where Should AI Memory Live?
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
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