Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#2158: Claude Managed Agents: Brain Versus Hands
Anthropic's new Managed Agents service runs your agent loop on their infrastructure. Here's what you gain, what you lose, and who it's actually for.
#2150: Debugging Your Brain’s Source Code
Learn the five-step CTFAR sequence that turns emotional chaos into a logical, debuggable system for a managed mind.
#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.
#2143: Simulating Geopolitics Under Asymmetric Information
A two-stage AI pipeline predicted a 4% chance the Iran-Israel ceasefire would survive a month, using Monte Carlo simulations and an LLM council.
#2142: The Nervous System of Multi-Agent Systems
We break down the plumbing that lets a parent agent know exactly when a subagent finishes, from message passing to lifecycle events.
#2141: Choosing Your Durable Execution Platform
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: The Referee's Dilemma: Epistemic Containment in LLM Simulations
Why do AI war games need a news blackout? We dissect the firewall that keeps LLM actors from cheating with real-world data.
#2131: The CIA Is on GitHub
In-Q-Tel is on GitHub. Explore the IC's strategic investment arm and its use of open-source AI for wargaming.
#2129: Shifting Left on Hallucinations
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.
#2121: Israel's Russian Paradox: Arming the Enemy
Satellite imagery reveals Russian S-300 systems guarding Iran's Fordow site, reshaping Middle East security.
#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.