What does it take for a single AI model to process images, audio, video, and text together? This episode explores the engineering behind tokenization that compresses vastly different data types into a unified format, enabling any-to-any multimodal systems.

Episode #706061 — open it directly at myweirdprompts.com/706061

Most people think all AI models work the same way, but there's a crucial distinction between instructional and conversational models that's reshaping how AI gets built and deployed. In this episode, Corn and Herman explore why instruction-following models actually came first, how they're trained differently, and why this matters for the future of AI development. Discover why the biggest, flashiest conversational models might not always be the best tool for the job—and what the rise of multimodal AI means for these two competing approaches.

Episode #866678 — open it directly at myweirdprompts.com/866678

Is all the infrastructure around fine-tuning actually solving real problems, or are we chasing solutions looking for problems? In this episode, Corn and Herman dive deep into Daniel's question about system prompting versus fine-tuning in AI systems. They explore how system prompts actually work, why they're surprisingly effective, and whether the massive investment in fine-tuning platforms matches the real-world demand. Plus, they discuss how new tools like the Model Context Protocol might be changing the game entirely—and whether most companies even need to fine-tune at all.

Episode #732973 — open it directly at myweirdprompts.com/732973

What if you could run a UN assembly in your computer, complete with AI agents representing different nations and ideologies? In this episode, Corn and Herman explore Daniel Rosehill's provocative idea: using multi-agent AI systems to model policy decisions, stress-test geopolitical assumptions, and let competing perspectives debate how the world should work. They dive into system prompting, the Rally tool, experimental projects like WarAgent, and the thorny question of whether algorithmic perspective-taking can actually improve human decision-making—or just hide our biases behind a veneer of systematic analysis.

Episode #354104 — open it directly at myweirdprompts.com/354104

Anthropic documented the first large-scale cyberattack executed autonomously by an AI. Herman and Corn explore what it means when AI moves from tool to agent—and why that changes everything about national security.

Episode #529431 — open it directly at myweirdprompts.com/529431

State-sponsored actors are actively weaponizing AI tools for cyber espionage, and the capabilities are accelerating faster than defenses can adapt. In this episode, Corn and Herman break down Anthropic's alarming research on AI-driven cyberattacks, exploring how threat actors are using AI as a force multiplier for reconnaissance, malware creation, and social engineering. They discuss why the attack advantage is asymmetrical, what organizations actually need to do about it, and whether transparency or secrecy is the right approach when the stakes have never been higher.

Episode #190991 — open it directly at myweirdprompts.com/190991

Beyond the ChatGPT interface lies a spectrum of deployment strategies. This episode explores the trade-offs between SaaS, dedicated infrastructure, and on-premises AI—and why your choice of *where* AI runs matters as much as what it does.

Episode #821434 — open it directly at myweirdprompts.com/821434

How architects and designers use AI control nets to turn rough sketches into photorealistic walkthroughs in seconds, collapsing traditional rendering timelines and reshaping client communication.

Episode #474334 — open it directly at myweirdprompts.com/474334

Why can advanced AI models generate breathtaking photorealistic landscapes and fantastical creatures with astonishing detail, yet consistently stumble over spelling a simple word like 'cat' on a t-shirt? This week on My Weird Prompts, co-hosts Corn and Herman dive into producer Daniel Rosehill's intriguing prompt: the pervasive and often comical challenge of 'pseudo-text' in AI image generation. They unpack the fundamental distinction between how AI processes visual information at a pixel level versus its understanding of symbolic language, revealing why generating coherent text within images is a far more complex multi-modal problem than it appears. Explore the cutting-edge "pipelined" solutions that integrate language models to improve accuracy, and

Episode #309677 — open it directly at myweirdprompts.com/309677

Why do AI models with robust safety guardrails still produce harmful outputs? This episode explores the paradox of alignment, from jailbreaking to the tension between utility and censorship.

Episode #244146 — open it directly at myweirdprompts.com/244146