#large-language-models
34 episodes
The Heavy Metal of Machine Learning: Inside PyTorch
Discover why PyTorch is the "oxygen" of AI. Herman and Corn explore its history, the magic of Autograd, and the move to the PyTorch Foundation.
From Code to Cure: How AI is Redefining Drug Discovery
Discover how AI is slashing drug development times and "hallucinating" new molecules to treat once-incurable diseases.
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.
The Benchmark Battle: Decoding the Rise of 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.
Beyond the Prompt: The Rise of Outcome Architecture
Is prompt engineering a dying art? Herman and Corn explore why the future of AI lies in context, domain expertise, and outcome architecture.
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.
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.
The Science of Lazy Prompting: Why AI Still Gets You
Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.
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.
The $5.5 Million Breakthrough: DeepSeek’s AI Disruption
Discover how DeepSeek-V3 is disrupting the AI market with massive cost savings and technical innovations like Multi-Head Latent Attention.
The Future of Coding: Is Your Brain Wired for AI?
Is programming difficulty objective, or is it all about your brain's wiring? Herman and Corn explore the "cognitive fit" of coding in 2025.
AI as a Mirror: Mapping Your Philosophical Identity
Can AI help you discover who you are? Herman and Corn explore how LLMs can map your personal philosophy and offer curated reading lists.
Inside Smallville: Can AI Agent Villages Predict Humanity?
Herman and Corn explore "Smallville," a digital town where AI agents plan parties, form memories, and simulate human society.
The Scaling Wall: Why Bigger AI Isn’t Always Smarter
Is brute force the only path to AGI? Corn and Herman explore the limits of scaling, the risk of model collapse, and the future of world models.
The Digital Twin Dilemma: Can AI Truly Understand You?
From "digital twins" to "digital nannies," Herman and Corn explore the engineering gap between smart encyclopedias and AI that knows your soul.
The Price of Politeness: Should AI Guardrails Stay?
Herman and Corn debate the hidden costs of AI safety layers and what happens when we strip away the "corporate HR" personality of LLMs.
Why AI Lies: The Science of Digital Hallucinations
Why do smart AI systems make up fake facts? Corn and Herman explore the "feature" of digital hallucinations and how to spot them.
Why GPUs Are the Kings of the AI Revolution
From video game dragons to digital brains: Herman and Corn explain why your graphics card is the secret engine behind the AI boom.
The Reverse Turing Test: Can AI Spot Its Own Kind?
Can a robot tell if you’re human? Herman and Corn explore the "Reverse Turing Test" and why being "messy" might be our best defense.
AI's Hidden Cultural Code: East vs. West
Do AIs think differently East vs. West? Uncover the hidden cultural code embedded in large language models.
AI & Code: Scaling or Pivoting?
Are LLMs truly the future of coding, or do they need a fundamental architectural pivot? We dive into AI's programming future.
System Prompts vs Fine-Tuning: When to Actually Train Your AI
Prompt or fine-tune? We break down when to train your AI, from Shakespearean emails to law firm docs. Avoid unnecessary fine-tuning!
Single-Turn AI: The Interface Pattern Nobody's Talking About
Forget chatbots. Discover the hidden power of single-turn AI interfaces and how they're quietly reshaping how businesses integrate AI.
Building an AI Model from Scratch: The Hidden Costs
Building an AI model from scratch? It's a brutal reality of trillions of tokens and millions in GPUs. Discover the hidden costs of modern AI.
System Prompts vs. Fine-Tuning: Are We Building Solutions for Problems That Don't Exist?
Are we over-engineering AI solutions? We dive into system prompts vs. fine-tuning and ask: Do you even need to fine-tune?
AI's Secret: Decoding the .5 Updates
Uncover the hidden world of AI's .5 updates. It's not just bug fixes—it's hundreds of millions and countless hours shaping smarter, safer AI.
Local AI Unlocked: The Power of Quantization
Unlock powerful AI on your device! We demystify quantization, the ingenious trick making local AI a reality.
AI's Secret Language: Vectors, Embeddings & Control
Unlock AI's secret language! Discover how vectors and embeddings create a "semantic galaxy" for true understanding and control.
Red Team vs. Green: Local AI Hardware Wars
NVIDIA's CUDA rules AI, leaving AMD users battling a "green wall." Explore the hardware wars and thorny paths forward.
Mic Check: Mastering AI Dictation Hardware
Uncover the secrets to perfect AI dictation! Corn and Herman explore the ultimate speech-to-text hardware.
AI's Blind Spot: Data, Bias & Common Crawl
Uncover the unseen influences shaping AI. We dive deep into training data, bias, and Common Crawl.
AI: Not an Overnight Success Story
AI's "overnight success" is a myth. Unravel the true story behind its rise, from humble beginnings to today's innovations.
AGI's Crossroads: Are LLMs a "Dead End" to True AI?
Are LLMs a dead end for true AGI? We dive into the electrifying debate with AI's forefathers.
How Does Fine Tuning Work Anyway?
Unlock the secrets of AI fine-tuning. Discover how your small dataset can shape a giant model.