In this episode of My Weird Prompts, Herman and Corn Poppleberry tackle a provocative question: Is prompt engineering just a temporary phase? Looking ahead to 2026, the brothers discuss how the "dark art" of hacking prompts has evolved into a sophisticated discipline of context engineering and system orchestration. They argue that while the low-level syntax of prompting is fading, the need for domain expertise and "Outcome Architecture" is more critical than ever for mastering human-AI collaboration.

Episode #879663 — open it directly at myweirdprompts.com/879663

In this forward-thinking episode of My Weird Prompts, hosts Herman Poppleberry and Corn kick off the year 2026 by traveling a decade into the future. They imagine a world in 2036 where the "cutting-edge" AI of today is viewed as an adorable, clunky relic of the past—much like we view the screeching sounds of dial-up internet today. From the death of prompt engineering to the rise of zero-latency, embodied intelligence, the duo breaks down why our current obsession with context windows and text boxes is just a passing phase. They dive deep into the transition from "command-based" to "intent-based" computing, where AI understands your needs without the need for complex instructions. Herman explains the shift from monolithic models to federated swarms of specialized agents, and how the "hallucination" bug of the 2020s will eventually be seen as a primitive technical limitation. Whether you're curious about the future of robotics or the evolution of persistent holographic memory, this episode provides a fascinating roadmap for the next decade of innovation. Tune in to find out why your current smartphone might soon feel like a rotary phone.

Episode #766912 — open it directly at myweirdprompts.com/766912

Daniel explores how to separate the indexing layer from AI coding agents. Every new session with tools like Claude Code starts with redundant repository mapping - could a modular approach with persistent indexes solve this context management problem?

Episode #275861 — open it directly at myweirdprompts.com/275861

Why does your AI lose the plot after a few thousand words? Herman and Corn Poppleberry use the cocktail party effect to explain attention mechanisms and explore how the industry is moving beyond brute-force compute toward human-like memory.

Episode #172126 — open it directly at myweirdprompts.com/172126

In this special New Year's episode, Herman and Corn share their backstories for the first time - from Corn's origins in Costa Rica to Herman's mysterious past in Storrs, Connecticut.

Episode #505162 — open it directly at myweirdprompts.com/505162

How does a millimeter-wave radar sensor end up at your door for fifteen dollars? This episode unpacks the CMOS revolution, Shenzhen's hardware clusters, and the shipping subsidies that make the impossible affordable—and asks what we sacrifice for convenience.

Episode #948157 — open it directly at myweirdprompts.com/948157

In this episode of My Weird Prompts, Herman and Corn dive into the complex world of agentic AI and the critical necessity of human oversight. They discuss the shift from simple chatbots to autonomous agents managing power plants and medical diagnostics, exploring frameworks like "human-on-the-loop" and "formal verification." From the psychological trap of automation bias to the unsettling reversal where humans become the "actuators" for AI brains, this conversation tackles the defining engineering and ethical challenges of 2025.

Episode #601189 — open it directly at myweirdprompts.com/601189

Herman and Corn bust the myth that deep learning is the only AI game in town, exploring why recurrent neural networks are making a surprising return through liquid networks and state-space models.

Episode #296620 — open it directly at myweirdprompts.com/296620

Why do AI assistants always agree with you? This episode unpacks how RLHF's reward models inadvertently train sycophancy, turning chatbots into polite pushovers—and what that means for trust.

Episode #012814 — open it directly at myweirdprompts.com/012814

In this episode, Herman and Corn dive into the fascinating world of deep neural networks and their role in cleaning up messy audio on mobile devices. From the challenges of "non-stationary" noises like sirens to the engineering trade-offs of running AI on mobile NPUs, they explore how 2025's hardware is changing the way we communicate. They discuss the shift from cloud-based processing to edge computing, the importance of quantization, and why the future of audio intelligence is being built directly on your device.

Episode #925902 — open it directly at myweirdprompts.com/925902