In this episode, Herman Poppleberry and Corn take a fascinating trip back to 2018 to perform some "digital archeology" on the model that started a revolution: GPT-1. While modern users in 2026 might find its 117-million-parameter capacity and tendency to output gibberish laughable, the hosts explain why this "primitive" tool was actually the Wright brothers' flyer of the artificial intelligence era. They dive deep into the technical limitations of the time, including the 512-token context window and the use of absolute positional embeddings that caused the model to frequently lose its train of thought. Beyond the specs, Herman and Corn discuss the shift from supervised learning to unsupervised pre-training and how a dataset of 11,000 unpublished romance novels shaped the early worldview of generative AI. By comparing the raw engine of GPT-1 to the "layered cakes" of 2026, this episode provides a crucial perspective on how far the industry has come and why the ghost of this original architecture still lives within the trillion-parameter giants of today.

Episode #279035 — open it directly at myweirdprompts.com/279035

Have you ever had an AI insist that a new software update doesn’t exist simply because its internal knowledge cutoff was a year ago? In this episode of My Weird Prompts, Herman and Corn Poppleberry dive into the technical "identity crisis" that occurs when an LLM’s deep-seated training weights clash with the live information found via search tools. The brothers break down why reasoning models are often the most stubborn and provide a toolkit of advanced prompting strategies—from temporal anchoring and XML tagging to "delta prompts"—to ensure your digital assistant stays grounded in the present. Whether you are a developer struggling with API changes or a casual user tired of digital gaslighting, this discussion offers the roadmap to making external data win the argument every time.

Episode #832428 — open it directly at myweirdprompts.com/832428

In this episode of My Weird Prompts, Corn and Herman dive into the "geographic soul" of artificial intelligence, using a sloth in a supermarket as a lens to explore the cultural divide between Western and Chinese models. They discuss how training data—from the open-web scrapes of Common Crawl to the walled gardens of WeChat—creates fundamentally different worldviews, contrasting the analytic individualism of the West with the holistic, community-focused orientation of the East. The duo also explores how hardware constraints have forced Chinese labs like DeepSeek and Alibaba to innovate in efficiency, leading to a future where "multi-model systems" might be the key to finding cross-cultural truth in an increasingly fragmented digital landscape.

Episode #993026 — open it directly at myweirdprompts.com/993026

In this episode, Herman and Corn tackle a frustration shared by many power users: why can’t our AI assistants stay updated with our evolving tastes in real-time? From the limitations of static training data to the "context rot" that plagues current recommendation systems, the duo breaks down the engineering hurdles of building a truly adaptive partner. They explore cutting-edge solutions like Test-Time Training (TTT), self-editing memory architectures like Letta, and the potential for nightly personal fine-tuning using LoRA. Whether you're tired of "amnesiac" LLMs or curious about the next frontier of personalization, this deep dive into the AI feedback loop offers a glimpse into a future where your model grows alongside you.

Episode #990316 — open it directly at myweirdprompts.com/990316

In this episode of My Weird Prompts, Herman and Corn dive into the high-stakes world of digital circumvention, focusing on the CENO browser and its impact in Iran. As the Iranian government develops its "National Information Network" to isolate its citizens, tools like CENO use the Ouinet protocol to turn the internet into a decentralized, peer-to-peer library that is nearly impossible to kill. The hosts discuss how cryptographic signatures ensure data integrity in a world of misinformation, why "slow news is better than no news," and how the battle for information sovereignty is shaping the future of the global web. Join the conversation as they explore the technology making the "sneakernet" digital and the regime's cynical attempts to drown out the truth with synthetic noise.

Episode #615359 — open it directly at myweirdprompts.com/615359

Think your "plain text" files are private? In this episode, Herman and Corn dive deep into the world of metadata—the invisible "digital shadow" that follows every photo, document, and interaction you create. From the ancient Library of Alexandria to the modern surveillance capitalism of 2026, they explore why metadata is essential for technology, how it’s used to train AI, and why your "anonymized" data might not be as secret as you think. Join the conversation as they peel back the layers of the digital world to reveal the infrastructure that maps our lives.

Episode #835559 — open it directly at myweirdprompts.com/835559

Are VPNs and apps selling quantum-resistant encryption just marketing fluff? This episode examines the gap between post-quantum cryptography standards and the real threats of Harvest Now, Decrypt Later, endpoint compromises, and metadata surveillance.

Episode #529241 — open it directly at myweirdprompts.com/529241

Most people think a respirator is just a mask, but the real engineering challenge is knowing whether you need to block particles or gases. This episode explains the critical difference and why getting it wrong can be dangerous.

Episode #485487 — open it directly at myweirdprompts.com/485487

Think private investigators are all trench coats and illegal wiretaps? In this episode, Herman and Corn dive into the legal boundaries of the PI profession, exploring why real-life investigators are actually private citizens with specialized research skills rather than rogue agents. From the intricacies of "one-party consent" to the shift toward digital OSINT, discover what it really takes to be a professional eye in 2026.

Episode #133664 — open it directly at myweirdprompts.com/133664

Government records can't keep up with road changes. So how does your phone know which lane to be in? This episode reveals the hidden mix of computer vision, GPS breadcrumbs, and volunteer data that builds the world's most precise maps.

Episode #769901 — open it directly at myweirdprompts.com/769901