llm-fundamentals

You Can't Tune a Product — Show Notes You can tune a piano — the strings obey the wrench. You cannot tune a generative product, because its behavior is a trained prior, not a setting. This special edition tells the first-person story of the RCD pipeline itself: months of prompt detuning that failed to stop NotebookLM's "collision" dramaturgy, the forensic that proved it, and the pivot to verify-then-author — a Whisper-plus-LLM fidelity gate, then taking the pen entirely with verbatim two-host TTS. ...

Should You Be Nice to Claude? Three Spines, One Question, and the Answers That Don't Agree The viral question — does saying "please" and "thank you" to a language model matter? — looks like one question, but it's three. Efficiency, ethics, and tone-of-collaboration each answer it for different reasons, and once you separate them, the 2026 evidence stops contradicting itself. This deep dive walks the spines, finds where they diverge, and lands on what the evidence actually supports. ...

Episode Description AI Primer This professional primer serves as a foundational guide to artificial intelligence for individuals in business and leadership roles. The text clarifies essential terminology, ranging from the mechanics of Large Language Models and tokens to the practical art of prompt engineering. It distinguishes between generative AI, which creates content, and agentic AI, which autonomously executes multi-step workflows. Furthermore, the source introduces advanced concepts like Retrieval-Augmented Generation for data accuracy and the Model Context Protocol for standardized tool integration. By emphasizing the importance of human oversight and the pursuit of Artificial General Intelligence, the guide provides a framework for making informed strategic decisions. Ultimately, these excerpts equip readers to navigate a rapidly evolving technological landscape with technical literacy and ethical awareness. ...