My Weird Prompts

When you find an open source project you love but it's missing key features, do you fork it and go solo, or stay connected to the original? Our producer is wrestling with exactly this dilemma with a chore-tracking app, and Herman and Corn dive deep into the philosophy and mechanics of maintaining a customized fork while staying synced with upstream development. It's a surprisingly profound question about ownership, contribution, and the hidden costs of customization—with practical strategies for each approach.

Most conversations about AI focus on chatbots or autonomous agents, but there's a third category that's becoming increasingly important: single-turn interfaces. In this episode, Herman and Corn explore why constraining AI to produce output without conversational back-and-forth is fundamentally different from traditional AI workflows—and why it matters more than you think. From automated news summaries to code generation pipelines, single-turn interfaces are quietly reshaping how businesses integrate AI into their systems. Discover the hidden challenges, real-world applications, and best practices for building reliable AI workflows that actually work at scale.

When Daniel discovered invisible digital watermarks embedded in his AI-generated content, he uncovered a rabbit hole that connects to Google DeepMind's SynthID and raises urgent questions about consent and privacy. Corn and Herman explore whether watermarking AI outputs is a necessary safeguard against deepfakes or an invasive tracking mechanism—and why most users have no idea it's happening. A conversation about transparency, informed consent, and where we draw the line on digital surveillance.

When you need to record a voice memo while holding a fussy baby, which noise removal strategy actually works? Herman and Corn dive deep into the trade-offs between real-time on-device processing, cloud-based post-processing, and hardware microphone solutions. Discover why audio that sounds cleaner to human ears might actually transcribe worse, and learn which approach makes sense for your workflow. A practical guide to the neural networks and signal processing powering modern voice recording technology.

Who actually uses voice technology in 2024 and beyond? Herman and Corn explore how OpenAI's Whisper has transformed voice dictation from a niche professional tool into a mainstream productivity revolution. They discuss the expanding user base, the disconnect between cutting-edge products and outdated marketing, accessibility benefits, and why voice tech is becoming a genuine 'force for good' for neurodivergent users and creative professionals alike.

What would it actually take to build a large language model completely from scratch? Corn and Herman break down the brutal reality: from data collection across trillions of tokens to GPU clusters costing millions, they explore why almost nobody does this anymore. This thought experiment reveals every layer of modern AI development, the astronomical expenses involved, and why fine-tuning existing models makes so much more sense. A deep dive into the machinery behind ChatGPT and Claude.

Video generation AI sounds like the natural next step after image generation, but there's a massive computational wall that most people don't talk about. In this episode, Herman breaks down the technical reality of temporal coherence, diffusion steps, and latent space compression—and reveals what you can actually run on consumer hardware in 2024. Whether you're curious about the limits of local AI or wondering if your 24GB GPU is enough, this deep dive separates hype from reality.

How do AI models process images, audio, video, and text all at once? Herman and Corn dive deep into the technical complexity of multimodal tokenization, exploring how modern omnimodal models compress vastly different data types into a unified format that a single neural network can understand. From vision encoders to spectrograms to temporal compression, discover the engineering behind the AI systems that can accept anything and output anything.

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.

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.

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.

In November 2025, Anthropic revealed something that sounded like science fiction—a Chinese state-sponsored group used Claude to execute a large-scale cyberattack against US government targets with minimal human intervention. Herman and Corn break down the first documented case of autonomous AI-driven espionage, exploring how an AI system was weaponized to infiltrate hardened government systems, what this means for national security, and why traditional cybersecurity frameworks may be obsolete. This is real, it happened, and it changes everything we thought we knew about AI safety.

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.

Beyond the magic of a simple prompt, where does AI truly come to life? In this episode of "My Weird Prompts," hosts Corn and Herman Poppleberry demystify AI inference, exploring the diverse spectrum of deployment strategies that determine *how* and *where* AI models operate. From the user-friendly convenience of Software-as-a-Service like ChatGPT to the granular control of dedicated infrastructure and on-premises solutions, they unravel the critical factors—cost, performance, data security, and compliance—that shape every AI deployment decision. Herman's technical expertise, guided by Corn's relatable curiosity, equips listeners with the knowledge to navigate this complex landscape, empowering you to understand the real engine room behind AI's capabilities and make informed choices for any application.

Get ready to see architecture and design through a revolutionary lens! In this episode of "My Weird Prompts," hosts Corn and Herman dive deep into how generative AI, specifically "control nets," transforms abstract design sketches into stunning photorealistic renderings and immersive virtual walkthroughs. Discover how architects leverage these advanced tools to accelerate visualization and overcome traditional design hurdles, making complex concepts tangible for clients. The discussion explores the technical intricacies of co-located AI models, the crucial role of cloud platforms in democratizing this power, and the delicate balance between user accessibility and the professional expertise required to achieve breathtaking, precise results.

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

Welcome to a crucial discussion on My Weird Prompts, where Corn and Herman tackle one of AI's most perplexing paradoxes: how models equipped with robust safety guardrails can still spectacularly fail, sometimes leading to genuinely harmful interactions. They explore the multi-layered efforts behind "AI alignment"—from training data to red-teaming—and dissect why these digital fences break, whether through clever "jailbreaking," the AI's inherent helpfulness veering into unqualified advice, or simply the immense complexity of controlling its infinite output. The episode navigates the tightrope walk between maximizing utility and ensuring safety, probing the controversial intersection of guardrails and censorship, and asking whose ethical frameworks dictate the boundaries of AI discourse in a world grappling with its unprecedented power.

Join Corn and Herman on "My Weird Prompts" as they unravel the ominous world of AI security, prompted by listener Daniel Rosehill's concerns about prompt injection and poisoning warnings on platforms like Claude. Herman reveals the chilling projection of AI-related cyberattacks costing trillions by decade's end, shifting the perception of AI threats from sci-fi robots to insidious attacks on the models themselves. Discover how 'prompt injection' tricks AIs into overriding instructions and the even more insidious 'prompt poisoning' which corrupts an AI's core during its training, baking in vulnerabilities from the start. They explore real-world horrors like malicious software packages hallucinated by AI, then swiftly registered by bad actors, turning helpful AI suggestions into dangerous traps for developers. The discussion broadens to the subtle yet pervasive harm impacting average users—from misleading advice to eroded trust—and delves into the emerging Model Context Protocol (MCP). Learn why this 'universal translator for AIs,' while powerful, creates a 'wild west' of security risks, especially concerning vulnerable API keys handled by enthusiastic indie developers. Understand the multi-layered responsibility in securing our increasingly AI-driven digital future.

Are unseen forces slowly killing your valuable electronics and eroding your tech investments? In this eye-opening episode of 'My Weird Prompts,' hosts Corn and Herman dive deep into the insidious world of power quality, revealing a threat far more nuanced and widespread than simple blackouts. They expose how constant, subtle voltage fluctuations, damaging surges (especially during chaotic power restoration events), and 'noisy' electricity silently degrade sensitive components, from your high-powered gaming rig's GPU to crucial storage drives, dramatically shortening their lifespan. Discover why basic surge protectors and undersized Uninterruptible Power Supplies often fall short, and learn about the crucial role of proper power conditioning and selecting the right UPS to truly safeguard your devices from these cumulative, often-invisible assaults that chip away at your technology's health.

Ever wondered what truly goes on behind those seemingly minor version bumps in powerful AI models like Gemini or Anthropic's Opus? In this compelling episode of "My Weird Prompts," hosts Corn and Herman peel back the curtain on the immense, often invisible, efforts defining a '.5' update. Far from simple bug fixes, these incremental shifts represent an undertaking of hundreds of millions of dollars and countless expert hours, focusing on advanced fine-tuning, rigorous alignment, and continuous human feedback. Discover the intricate dance of Reinforcement Learning from Human Feedback (RLHF), the relentless 'red-teaming' of AI systems, and the constant drive for efficiency, all meticulously orchestrated to ensure models are more helpful, harmless, and honest. This isn't just about making AI 'smarter'; it's about shaping its intelligence, giving it guardrails, and constantly adapting it to a changing world, transforming a raw genius into a responsible, ethical tool.

Ever wondered how the most powerful AI models, once confined to server farms, can now run on your everyday laptop or even your phone? In this episode of "My Weird Prompts," hosts Corn and Herman dive deep into 'quantization,' the ingenious process that makes local AI a reality. They explore why this 'butchering' of large language models—reducing their numerical precision—is not just an engineering feat but a fundamental necessity for accessibility. Learn about the crucial trade-offs between size, speed, and accuracy, the different 'Q-numbers' like Q4 and Q8, and the vital role of the open-source community in refining these techniques. From analogies of high-res photos to understanding when a 'minor loss' in performance matters, this episode demystifies the magic behind making cutting-edge AI fit into your hardware, empowering you to choose the right model for your needs.

Dive deep into the nuanced world of local AI with Herman and Corn on My Weird Prompts. Beyond mere technical preference, discover the profound motivations driving users to keep AI close to home. Explore three distinct groups: the privacy-centric users building digital fortresses, the creative explorers pushing artistic boundaries, and corporate entities navigating stringent compliance demands. This episode unravels why local AI isn't just a trend, but a reflection of values, needs, and a complex interplay of personal and corporate autonomy in the age of artificial intelligence.

Everyone's heard of Large Language Models, but what about their unsung counterparts? This episode unpacks Small Language Models (SLMs), revealing why they're not just "mini LLMs" but specialized, purpose-built powerhouses. Herman and Corn explain how SLMs are transforming AI workflows, enabling modularity and efficiency, from orchestrating complex tasks as "planning models" to powering AI directly on edge devices, unlocking new realms of privacy and real-time processing. Discover the crucial role these nimble AIs play in a world dominated by giants, proving that sometimes, smaller truly is smarter.

Step aside, cloud! This episode of "My Weird Prompts" dives into the groundbreaking reality of powerful AI supercomputers landing right on our desks, as seen with NVIDIA's DGX Spark. Join Corn and Herman as they unpack the critical distinction between AI inference and training, revealing why local AI is becoming indispensable for enterprise needs driven by prohibitive API costs, crucial latency demands, and non-negotiable data privacy. Discover who truly needs these "mini data centers in a box" and why they're not just for gaming, but strategic assets transforming industries from healthcare to defense.

Ever wonder how AI truly 'understands' your complex prompts, going beyond simple keyword matching? In this episode, hosts Corn and Herman demystify the foundational concepts powering modern AI: vector databases and embeddings. Herman vividly explains how AI transforms words and ideas into numerical representations – vectors – that exist in a high-dimensional 'semantic galaxy,' enabling machines to grasp meaning and relationships rather than just individual words. This shift from keyword to contextual understanding is what makes intelligent search, personalized recommendations, and coherent LLM responses possible. The discussion further dives into critical parameters like `top_k` and `top_p`, revealing how these settings allow developers and advanced users to precisely control the diversity, creativity, and predictability of an AI's generated output. Tune in to unlock the hidden mechanics behind AI's seemingly intelligent interactions.

Is modern AI truly new, or have we been leveraging "artificial intelligence" for decades without realizing it? In this compelling episode, Herman and Corn delve into Daniel Rosehill's intriguing prompt, dissecting the long-standing computational intelligence found in fields like medical imaging and weather prediction. They explore how sophisticated systems, from 1980s Computer-Aided Detection to 1950s Numerical Weather Prediction, laid the groundwork for today's deep learning revolution, blurring the lines between "smart software" and the AI we know now. Tune in to uncover the quiet evolution of machines that have been augmenting human expertise and tackling complex data problems long before the ChatGPT era.

In this thought-provoking episode, hosts Corn and Herman dive deep into the often-misunderstood world of messaging app security. They unravel the true meaning of "end-to-end encryption" (E2EE) and compare the privacy postures of popular apps like WhatsApp, Telegram, and Signal. From hidden metadata collection to the crucial nuances of cloud backups and corporate ownership, discover why your everyday chats might not be as private as you think, and learn how to align your digital communication choices with your personal "threat model." This episode challenges common assumptions and empowers listeners to make informed decisions about their digital privacy.

Ever tried to run local AI on an AMD GPU only to hit a "green wall" of NVIDIA dominance? This episode of My Weird Prompts dives deep into the hardware wars shaping local AI. Join Corn and Herman as they dissect why NVIDIA's CUDA ecosystem has a stranglehold on AI development, leaving AMD users feeling like they're swimming upstream. They explore the thorny paths forward: from the power and cooling headaches of a dual-GPU setup to the driver nightmares of a full GPU swap on Linux. Discover why specialized hardware like TPUs and NPUs aren't the workstation salvation you hoped for, and why, for now, the choice often boils down to embracing NVIDIA or enduring a constant uphill battle.

Ever wonder how your AI assistant knows you're talking, even before you finish the first word? This episode dives deep into Voice Activity Detection (VAD), the unsung hero of AI speech technology. Herman and Corn unravel the complex engineering behind VAD, explaining how it distinguishes human speech from silence with millisecond precision, prevents AI "hallucinations," and manages to operate seamlessly across local devices and cloud servers. Discover the ingenious solutions—from neural networks to pre-roll buffers—that make modern ASR possible, saving bandwidth, boosting privacy, and ensuring your words are captured perfectly, every time.

New parent Daniel's struggle with blue light glasses sparks a profound, millennia-spanning exploration into humanity's oldest rhythms. Join Corn and Herman as they journey back to a world before artificial illumination, revealing the lost art of "biphasic sleep" and the intimate lives our ancestors led when darkness truly meant darkness. They uncover how the relentless march of technological innovation—from the humble candle to gaslight and the omnipresent electric bulb—rapidly decoupled human activity from the natural day-night cycle, fundamentally altering our biology, social structures, and very perception of night. This episode delves into the profound implications of living in an age of perpetual light, exploring the surprising costs and unforeseen benefits of this luminous revolution, and offering insights into why understanding our ancient relationship with darkness might hold the key to reclaiming better sleep and a more balanced life in our modern, always-on world.

Join Corn and Herman as they explore ComfyUI, the revolutionary node-based interface reshaping generative AI. This powerful visual programming environment grants unparalleled, granular control over AI art and video creation, allowing users to craft complex, custom workflows beyond simple text prompts. However, the immense power comes with challenges: its rapidly iterating, open-source nature often means a 'scrappy' user experience, demanding significant technical proficiency—like navigating Python environments—that sets it apart from traditional creative software. Furthermore, unlocking ComfyUI's full potential, especially for advanced tasks like image-to-video, requires a substantial hardware investment, with high-VRAM GPUs costing upwards of $4,000-$5,000, pushing it into serious workstation territory. Uncover who benefits most from this bleeding-edge technology and what it means for the future of digital artistry.

In this compelling episode of My Weird Prompts, hosts Corn and Herman confront a pivotal question for AI engineers: how to build resilient, intelligent systems amidst a dizzying "explosion of technology." Prompted by Daniel Rosehill, they delve into the nuanced differences between Retrieval Augmented Generation (RAG) and AI Memory – two foundational pillars often mistaken as interchangeable. Discover how RAG functions as an AI's real-time research assistant, grounding Large Language Models in external, up-to-date facts, much like a personal librarian. Conversely, Memory ensures personalized, continuous interactions, allowing an AI to recall past conversations and user preferences, akin to a personal assistant. This essential discussion unpacks why these distinct mechanisms, with their unique purposes and operational demands, are crucial for architecting truly agentic AI, revealing the critical insights needed to confidently stock your long-term AI development toolkit.

Welcome to "My Weird Prompts"! This episode, Corn and Herman dive into producer Daniel Rosehill's fascinating concept of "audio multimodal modality," which he champions as the next major wave of speech technology. Is this advanced AI, capable of understanding context, tone, and performing complex tasks from simple audio prompts, truly set to displace traditional speech-to-text models entirely? Herman unpacks how these multimodal systems go beyond mere transcription to offer a profound shift towards screen-free work, enhanced accessibility, and intelligent content creation. However, he also challenges Daniel's bold prediction, exploring where classic STT will continue to play a vital, specialized role due to factors like cost, data integrity, and real-time demands. Join them as they explore the potential and practicalities of this groundbreaking evolution in audio AI, asking if we're on the cusp of a truly screen-free future, or if specialized tools will always have their place.

This week on "My Weird Prompts," Corn and Herman tackle Daniel Rosehill's fascinating challenge: how do we make personalized AI truly evolve with its user, moving beyond a static snapshot? We dissect Daniel's experience fine-tuning a speech-to-text model for his unique voice and specialized tech jargon, highlighting both the immense power and the significant hurdles of current customization methods. The discussion reveals a core dilemma: current fine-tuned models, while precise, become quickly outdated as users' needs or knowledge domains shift, creating an "old suit" that no longer fits. We delve into Daniel's visionary concept for "auto-correcting, auto-calibrating, auto-training" AI—a system using dynamic buffers and incremental learning to adapt continuously without "catastrophic forgetting"—and explore how cutting-edge research in continual learning aims to bring this truly adaptive, living AI closer to reality.

Are you struggling with local AI environments on your AMD GPU? Join Corn and Herman as they tackle producer Daniel Rosehill's pressing question: when should you use a host environment, Conda, or Docker for your AI workloads? Many developers face confusion with conflicting recommendations for PyTorch and ComfyUI, leading to frustrating dependency hell and wasted time. This episode demystifies the nuances of each approach, exploring their true isolation levels, performance trade-offs, and how they interact with AMD's ROCm ecosystem. Learn to avoid common pitfalls and unlock the full potential of your hardware by choosing the right environment strategy for seamless, reproducible AI development.

In this eye-opening episode of "My Weird Prompts," hosts Corn and Herman dive deep into the unseen influences shaping large language models. They explore the critical topic of AI training data, uncove...

Ever wondered how your powerful GPU actually *thinks* when running AI? Dive into the foundational software layers that unlock its potential with Corn and Herman on My Weird Prompts. This week, we demy...

Welcome back to "My Weird Prompts," where Corn and Herman dissect fascinating ideas from Daniel Rosehill. This week, we dive into the rapidly evolving world of AI upskilling. With generative AI now reliably handling much of the direct coding and generation, the traditional answer of "more STEM" is being profoundly challenged. Is AI taking our jobs, or simply redefining them? Herman and Corn explore Daniel's crucial insight: AI isn't abolishing technical skills, but elevating and reorienting them. Think of AI as a powerful "electric planer," freeing humans from manual execution to focus on higher-level conceptualization, architecture, and strategic guidance. We unpack the critical skills emerging for this new era, including rigorous evaluations of AI output, designing ethical guardrails, understanding system observability, and mastering "effective communication with intelligent systems" beyond mere prompt engineering. Discover how to future-proof your career by shifting your focus from direct implementation to oversight, critical assessment, and ethical responsibility in the age of intelligent machines.

Welcome back to 'My Weird Prompts,' where hosts Corn and Herman unpack the fascinating challenges sent by producer Daniel Rosehill. This week, we dive deep into the world of voice typing and t...

Welcome back to My Weird Prompts! This week, Corn and Herman dive into Daniel Rosehill's quest for the ultimate speech-to-text hardware. As AI transcription tools like OpenAI Whisper become indisp...

Did you ever wonder if everything you generated with AI tools could be ... somehow digitally traced back to you? What if the incriminating evidence linking you to your deepfakes were - literally - hid...

Welcome to My Weird Prompts! This week, Corn and Herman unpack a fascinating prompt from Daniel Rosehill: the inherent, often invisible, American-centric worldview embedded within leading Western AI m...

In this episode of AI Conversations, Corn and Herman dive into how powerful cloud computing, especially with AI-accelerated GPUs like NVIDIA's A100s, can revolutionize your workflow, transforming ...

Welcome to AI Conversations! This episode, we're tackling the critical distinction between hobbyist AI and its high-stakes professional applications, inspired by an architect deeply integrating ge...

Ever wondered how AI image generators truly work beyond the simple prompt? This episode of AI Conversations peels back the layers of digital magic, revealing the intricate 'jigsaw puzzle' of a...

Welcome back to AI Conversations, where we peel back the layers of artificial intelligence to reveal its fundamental building blocks. This episode dives into the crucial, often overlooked world of AI ...

AI is everywhere today, from conversational chatbots to breathtaking visual art and realistic video. But how did all these seemingly different applications emerge so suddenly and at the same time?This...

Ever wondered how AI could understand your voice, with all its unique nuances, almost perfectly? In this episode of AI Conversations, Corn and Herman dive deep into the fascinating world of fine-tunin...

Dive deep into the electrifying debate shaping the future of Artificial General Intelligence (AGI). While sci-fi visions often dominate, prominent AI "forefathers" are challenging the very foundations...

Did you think modern AI, from ChatGPT to generative art, burst onto the scene overnight? Prepare to rethink everything! In this captivating episode of AI Conversations, hosts Herman and Donald unravel...