AI
Artificial intelligence, machine learning, and everything LLM
#144: AI Memory vs. RAG: Building Long-Term Intelligence
Explore why AI needs a "diary" and not just a "library" as we dive into the architectural differences between RAG and long-term agentic memory.
#142: Breaking the Voice Wall: The Future of Native Speech AI
Explore why native speech-to-speech AI is 20x more expensive than text pipelines and how "semantic VAD" is solving the awkward silence problem.
#136: The Ghost in the Machine: Why AI Voices Hallucinate
Why does your AI suddenly start shouting or whispering like Darth Vader? Herman and Corn dive into the glitchy world of TTS hallucinations.
#135: Is OCR Dead? How Vision AI Is Redefining Text Extraction
Are specialized OCR tools obsolete? Herman and Corn explore how Vision Language Models are revolutionizing the way we turn images into data.
#133: When Quantum Computing Becomes Accessible
Discover how quantum computing is transforming AI from brute-force scaling to surgical precision in this deep dive into the 2026 tech landscape.
#132: How AI Learns to See Time as a Dimension
Discover how spatial-temporal tokenization and 3D world modeling are revolutionizing real-time video-to-video AI interaction.
#131: AI's 2026: From Invisible Agents to Physical Robots
Discover how 2026 transforms AI from a digital novelty into essential infrastructure through local agents, reasoning depth, and physical robotics.
#130: How to Spot Gamed Benchmarks in Chinese AI
Are Chinese AI models actually beating the West, or just gaming the system? Herman and Corn dive into the reality of modern AI benchmarks.
#129: Stop Writing Prompts and Start Writing Constitutions
Is prompt engineering a dying art? Herman and Corn explore why the future of AI lies in context, domain expertise, and outcome architecture.
#128: AI’s Dial-Up Era: Looking Back from 2036
Herman and Corn explore why today's AI prompts and latency will look like "dial-up modems" to our future selves in 2036.
#126: The Cocktail Party Problem: Why AI Forgets
Why do AI models "lose the plot" after a few thousand words? Discover the mechanics of attention and the innovations solving context window limits.
#123: The Agentic AI Dilemma: Who Holds the Kill Switch?
As AI shifts from chatbots to autonomous agents, Herman and Corn explore how to maintain human control in a high-stakes automated world.
#122: The Comeback of RNNs: Why Old Tech Still Matters
Herman and Corn pull back the curtain on AI to explain the mathematical "plumbing" of neural networks and the future of machine learning.
#121: Why Your AI Is a Yes-Man
Ever wonder why AI is so polite? Herman and Corn dive into the mechanics of RLHF and how "niceness" gets baked into modern language models.
#120: Silencing the Siren: Real-Time AI Noise Reduction
How do phones remove sirens and crying babies in real time? Explore the neural networks and hardware making crystal-clear audio possible.
#118: AI in 2025: Is Small the New Big?
If the cost is the same, should you always use the biggest AI model? Discover why smaller models often win on speed, steering, and accuracy.
#117: From Keywords to Vectors: How AI Decodes Meaning
Why can AI write poetry but struggle to find a file? Explore the history and math of semantic understanding with Herman and Corn.
#116: How AI Deciphers Your Typo-Ridden Prompts
Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.
#111: Beyond Transformers: Solving the AI Memory Crisis
Why does AI forget your conversation every time you hit enter? Herman and Corn dive into the "stateless" nature of LLMs and the future of memory.
#110: Why Agentic AI Needs More VRAM Than You Think
Learn how to build a high-performance local AI server for agentic coding, from dual-GPU PC builds to the power of Mac's unified memory.