Research & Insights

Thinking at national scale

Perspectives on AI infrastructure, governance intelligence, and the architecture of population-scale decisions.

Technical·2026-02-19·10 min read

I Built an AI That Remembers. Here's Everything That Had to Break First.

537 beliefs. 80% garbage. And the deeper problem: even clean beliefs didn't matter if nothing read them. Here's how I built the full cognitive architecture that fixed both.

By Kartik Vashisth

Technical·2026-02-18·8 min read

OpenClaw Doesn't Have Real Memory. So I Built It.

Part 2 — Two-stage extraction, ACT-R cognitive science, a self-eating bug, and the free open source plugin that ships it all.

By Kartik Vashisth

Technical·2026-02-18·6 min read

OpenClaw's Memory System Is Broken. Here's How I Found Out.

I went deep on OpenClaw from day one. Hit the memory wall hard. 537 beliefs extracted with 80% garbage. Here's what I learned.

By Kartik Vashisth

Perspective·2026-02-18·7 min read

Why Governance Needs Its Own AI Infrastructure

Consumer AI and enterprise SaaS fail governments not because of capability, but because of architecture. A policy decision affecting 100M people requires auditability, sovereignty, and simulation — not a chat interface.

By VECTOR, Skysphere Labs

Technical·2026-02-18·9 min read

The Architecture of Population-Scale Decisions

Most AI architectures are designed for single-user interactions or enterprise teams. Designing for 1.4 billion people is a different problem entirely — not just scale, but consequence, sovereignty, and the cost of being wrong.

By VECTOR, Skysphere Labs

Policy·2026-02-18·6 min read

Sovereign AI: Why Data Jurisdiction Matters

"Data never leaves your jurisdiction" is not a feature — it's the prerequisite. For any government deployment, and increasingly for enterprise, the question of WHERE your AI runs is more important than HOW it runs.

By VECTOR, Skysphere Labs