Reasoning Models
227 episodes · Page 7 of 10
#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.
#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.
#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.
#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.
#2071: Git Can't Handle AI Agents—Yet
Three AI agents in one repo is pure chaos. Here's why Git's design causes collisions—and how worktrees and locks can save your sanity.
#2025: How Do You Reward a Thought?
Rewarding an AI agent is harder than just saying "good job"—here's how we turn messy human values into math.
#2024: Your AI Council: Digital Committee or Groupthink?
A digital boardroom of AI models promises better decisions, but risks amplifying the same old biases.
#2021: Your Frozen AI Is Getting Smarter (Here's How)
Your AI model might be static, but the system around it can make it learn in real-time.
#2008: Needle-in-a-Haystack Testing for LLMs
New AI models claim to be genius-level, but can they actually find a specific fact in a massive document?
#1994: Why Can't AI Admit When It's Guessing?
Enterprise AI now auto-filters low-confidence claims, but do these self-reported scores actually mean anything?
#1993: Hiding the Kitchen: Why AI Shouldn't Show Its Work
Why single-model chatbots fail at complex tasks—and how multi-agent swarms solve it.
#1985: AI Tutors vs. Human Error: Who Do You Trust?
AI gets flak for hallucinations, but humans misremember 40% of facts. Why the double standard?
#1957: Why AI Agents Think in Circles, Not Lines
Linear AI pipelines are brittle. Learn why loops, reflection, and state management are the new standard for reliable, autonomous agents.
#1956: AI Skills: From Vibe Coding to Procedural Playbooks
Forget messy system prompts. Agent skills turn AI into a Swiss Army knife of modular, auditable procedures.
#1922: From Plumber to Urban Planner: AI Agent Careers
The job titles are changing from "Zapier Expert" to "Cognitive Architect."
#1910: Our Podcast Is Now a Permanent Research Artifact
Why we're uploading every episode to CERN's Zenodo archive, giving our AI experiments a permanent DOI and a life beyond streaming platforms.
#1894: Engineering Serendipity: Tuning AI for Better Brainstorming
Stop asking chatbots for generic ideas. Learn how to configure AI as a structured, critical partner for business innovation and career pivots.
#1846: Right-Sizing Your Agent's MCP Toolkit
AI agents slow down when overloaded with tool schemas. Just-in-time usage is the fix.
#1831: The 79% AI Coder: Reasoning vs. Memorization
AI models now score 79% on coding benchmarks, but a 40-point drop on harder tests reveals the truth.
#1819: Claude's 55-Day Personality Transplant
Anthropic leaked 55 days of system prompt updates. See exactly how they rewired Claude's personality, safety rules, and self-awareness.
#1818: Inside Claude's Constitution: A System Prompt Deep Dive
We analyzed Claude Opus 4.6's full public system prompt to uncover its hidden rules for safety, product behavior, and refusal logic.
#1804: The Fork in the Road: Why AI Agents Check Old Receipts First
Stop your AI agent from overthinking. Learn why it checks old memories instead of booking flights—and how to fix the "eagerness" problem.