#prompt-engineering
109 episodes · Page 4 of 5
#1858: Multi-Model Agents: The Instruction & Context Gap
Mixing AI models creates chaos. Learn the practical fixes for context windows, tokenization, and output formats.
#1828: Mastering 2M Token Context in Agentic Pipelines
A massive context window sounds like a dream, but it can quickly become a nightmare for complex AI workflows.
#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.
#1777: Claude Called My Prompt "Rambling" and I'm Not Okay
When an AI coding tool critiques your prompt's literary quality, it raises a massive technical question about engineered personality.
#1762: Testing AI Truthfulness: Beyond Vibes
Stop trusting confident AI. We explore the formal science of testing LLMs for hallucinations and knowledge cutoffs.
#1728: The AI Carpool: Emergent Collaboration Through Role-Playing
CAMEL AI lets two agents role-play to solve tasks autonomously. No complex code—just emergent teamwork.
#1718: The Ralph Wiggum Technique: AI That Codes Itself
Stop babysitting AI agents. Learn the Ralph Wiggum technique to automate iterative coding loops and let AI finish the job itself.
#1636: The Mosh Pit Model: Can Chaos Train a Better Storyteller?
Can Elon Musk’s newest AI model handle a time-traveling toaster, or is it just a glorified search bar with an attitude?
#1630: When a Reasoning Model Overthinks Comedy
Xiaomi’s new MiMo 2.0 Pro model auditions for a comedy podcast, promising deep reasoning over raw speed.
#1579: When AI Flattery Breaks Reality
What happens when two top-tier AI models are forced to out-compliment each other? Witness a chaotic, heartwarming battle of cosmic proportions.
#1473: Is Your AI Thinking or Just Faking It?
Is "think step by step" dead? Discover how test-time compute and native reasoning are replacing manual prompting in the latest AI models.
#1279: Why AI Obeys the Developer Instead of You
Discover the hidden "plumbing" of AI system prompts and how architectural shifts are turning simple instructions into hard-coded laws.
#1210: Why Your AI Is Programmed to Disobey You
Discover the hidden instructions guiding every AI interaction and why tech giants keep these "system prompts" under lock and key.
#1106: The Entropy Budget: Embracing AI Zaniness
Corn and Herman explore how to inject "zaniness" and entropy into their show without losing their educational edge.
#1100: The Truth Conflict: Why AI Ignores the Facts You Give It
Discover why AI models ignore provided documents in favor of old training data and how to build a reliable "hierarchy of truth" for RAG systems.
#1098: The Hidden Vendor Prompt: Why Enterprise AI Agents Stay Siloed
Stop building AI silos. Discover the 14-layer framework that turns isolated models into a cohesive, connected enterprise ecosystem.
#1086: Why AI Can’t Stop Talking About Second Order Effects
Ever wonder why AI sounds like a senior consultant? Explore the "second order effects" of training data and reward model drift.
#1083: Mapping the Second Black Box: Agentic AI Visualization
Stop reading messy logs. Discover how mapping "internal momentum" and latent value spaces can solve the black box problem in agentic AI.
#980: The Rosehill Audit: Mapping a Digital Footprint
From Linux automation to AI prompts, discover the digital blueprint of a modern systems builder in this deep-dive investigative audit.
#874: From Vibes to Engineering: Mastering JSON Schema for AI
Stop begging your AI for clean data. Learn how JSON schema turns unreliable LLM responses into strict, predictable software components.
#848: Do Algorithms Deserve Rights? The Gemini 3.5 Debate
Are AI models just advanced mirrors, or do they deserve moral consideration? Explore the evolving debate over AI rights and digital consciousness.
#809: Beyond the Prompt: The Shift to AI Context Engineering
Is prompt engineering still magic, or just plumbing? Explore why the field is shifting toward context engineering and systematic evaluation.
#678: Beyond the Code: Redefining Open Source in 2026
Herman and Corn explore why "open source" in 2026 requires more than just code, from AI prompts to documentation and intellectual property.
#665: Inside the Stack: The Hidden Layers of Every AI Prompt
Ever wonder what happens after you hit enter? Discover the hidden "stack" of instructions and memories shaping every AI response.