AI
Artificial intelligence, machine learning, and everything LLM
#2153: How Lobbying Actually Works in DC
Federal lobbying hit $6B in 2025. Here’s what a lobbyist actually does all day—and why the system regulates itself.
#2146: The AI Wargame's Flat Hierarchy Problem
AI wargames treat NGOs and nuclear powers as equals. That's a dangerous flaw for real-world policy planning.
#2144: AI Wargaming: One Model or Many?
Should geopolitical AI simulations use one model or many? We debate the pros and cons of a single-model approach.
#2142: How Subagents Tell the Orchestrator They're Done
We break down the plumbing that lets a parent agent know exactly when a subagent finishes, from message passing to lifecycle events.
#2141: Durable Agents: Choosing the Right Backend
Why building AI agents means managing infrastructure. We explore durable execution backends like Temporal and AWS Step Functions.
#2139: AI Wargame Memory: Beyond the Context Window
Why simply extending context windows fails in multi-agent simulations, and how layered memory architectures preserve strategic fidelity.
#2137: Wargaming's Methodology, Not Magic
Most AI wargames are just expensive role-play. Here's the professional methodology they're missing.
#2136: The Brutal Problem of AI Wargame Evaluation
Most AI wargame simulations skip evaluation entirely or rely on token expert reviews. This is the field's biggest credibility problem.
#2135: Is Your AI Wargame Signal or Noise?
Monte Carlo methods promise statistical rigor for AI wargaming, but the line between genuine insight and sampling noise is thinner than you think.
#2134: The Fog-of-War Problem in AI Wargaming
Why shared AI brains make secret-keeping a nightmare, and the four architectural patterns researchers use to fix it.
#2133: Engineering Geopolitical Personas: Beyond Caricatures
How to build LLMs that simulate state actors with strategic fidelity, not just surface mimicry.
#2132: Building Geopolitical Sandboxes in a Live-News World
Why do AI war games need a news blackout? We dissect the firewall that keeps LLM actors from cheating with real-world data.
#2129: Building the Anti-Hallucination Stack
Stop hoping your AI doesn't lie. We explore the shift to deterministic guardrails, specialized judge models, and the tools making agents reliable.
#2125: Why Agentic Chunking Beats One-Shot Generation
A single prompt can't write a 30-minute script. Here’s the agentic chunking method that fixes coherence.
#2123: Human Reaction Time vs. AI Latency
We obsess over shaving milliseconds off AI response times, but human biology has a hard limit. Here’s why your brain can’t keep up.
#2115: Why AI Answers Differ Even When You Ask Twice
You ask an AI the same question twice and get two different answers. It’s not a bug—it’s physics.
#2114: 2026 ERP: From Filing Cabinet to Autonomous Core
In 2026, ERP systems have evolved from digital filing cabinets into autonomous, AI-driven cores that predict and execute business decisions in real...
#2113: Goldfish vs Elephant: The Stateful Agent Dilemma
Stateless agents are cheap and fast, but stateful ones remember your window seat. Which architecture wins?
#2111: From Bricklayer to Foreman: AI's Dev Role Shift
AI frameworks are exploding while languages stay stable. Learn why core dev knowledge is shifting from syntax to systems thinking.
#2110: Tuning AI Personality: Beyond Sycophancy
AI models swing between obsequious flattery and cold dismissal. Here’s why that happens and how to fix it.