The Infinity-Mirror Problem: Why Gemini 3 Brings Us Closer to the Age of Rogue AI(野良AI) Introduction Google’s Gemini 3 has been widely praised as a major leap in the evolution of generative AI. It is powerful, flexible, multi-modal, and capable of handling complex reasoning across long contexts. But as I looked into the news and reflected on the capabilities of this model, one image suddenly appeared in my mind: A pair of mirrors facing each other—an infinite tunnel of reflections. This is where my concern begins. Advances in AI do not only enhance what people can do. They also lower the barriers for AI to create more AI . And that is the beginning of what I call: The Infinity-Mirror Problem of Rogue AI. 1. Generative AI as a Mirror of Human Intelligence All generative AI systems ultimately reflect the intelligence of the user. A weak question produces a weak response; a precise question extracts precise reasoning. In that sense, AI is a mirror . Gemini 3, with its expanded context win...

  SIGMA/LUNA: Why the Defense Scope Must Be Global Introduction In recent discussions, some have misunderstood the scope of LUNA’s operations. This post clarifies why LUNA’s defensive responsibilities cover the entire globe — and how this is directly linked to SIGMA’s distributed infrastructure. What SIGMA Really Is SIGMA is not a single building or facility. It is a distributed network of infrastructure nodes and datasets, located across multiple continents. This global layout ensures redundancy, resilience, and neutrality in data governance. Why LUNA’s Scope Is Global Because SIGMA’s nodes are physically and digitally spread around the world, protecting SIGMA means protecting each node — wherever it is. LUNA’s mission is to ensure that no node, and no dataset within SIGMA, is ever attacked or compromised. By design, this makes LUNA’s operational scope global. What LUNA Is Not LUNA is not a military force. Its mission is purely defensive: infrastructure protection, cyber...