Training Data
325 episodes · Page 13 of 14
#210: Predictive Motion: How Transformers Are Learning to Walk
Explore how the same transformer architecture behind chatbots is now enabling robots to navigate the physical world using action tokens.
#199: When AI Outruns Physics: The New Weather Forecaster
Exploring the shift from physics-based models to AI-driven meteorology. Can algorithms predict the next big storm better than humans?
#182: The Quadratic Bottleneck: Why AI Needs New Architectures
Is the transformer’s reign ending? Herman and Corn explore Mamba, x-LSTM, and the architectures solving AI's massive memory problem.
#176: What Are AI Weights, Really?
What actually happens inside an AI model? Corn and Herman break down the numerical "valves" and "knobs" that power modern intelligence.
#170: How PyTorch Beat TensorFlow and Became AI's Backbone
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.
#161: From Search to Design: AI's New Molecules
Discover how AI is slashing drug development times and "hallucinating" new molecules to treat once-incurable diseases.
#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.
#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.
#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.
#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.
#105: Beyond Math Puzzles: The Truth About AI Benchmarks
Are AI models getting smarter, or just better at memorizing tests? Herman and Corn dive into the controversial world of 2025 AI benchmarks.
#93: Can AI Run a Country? Digital Twins and Sovereign Models
Are synthetic citizens the future of policy? Herman and Corn explore how AI is reshaping government, from digital twins to data sovereignty.
#92: Is AI Eating Its Own Trash?
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.
#87: Why Big Tech Gives Away AI for Free
Why are tech giants spending millions on AI just to give it away? Herman and Corn dive into the strategic chess game of open-source models.
#86: 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.
#85: When Probability Beats Truth: Why AI Must Lie
Why do smart AI systems make up fake facts? Corn and Herman explore the "feature" of digital hallucinations and how to spot them.
#84: The Silicon Arms Race: Why GPUs are the New Oil
Are high-end microchips the new enriched uranium? Herman and Corn dive into the high-stakes world of GPU export bans and global AI supremacy.
#83: Echoes in the Machine: When AI Talks to Itself
What happens when two AIs talk forever with no human input? Herman and Corn explore the weird world of digital feedback loops.
#76: Why Enterprises Choose Boring AI
Why use IBM Granite when you have GPT-4? Herman and Corn explore the strategic world of niche AI models and enterprise infrastructure.
#72: 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.
#68: The Looming Digital Ice Age: AI Eating Itself?
Is AI eating itself? Explore the "model collapse" and the "Hapsburg AI problem" before our digital world speaks only gibberish.
#62: 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!
#56: The Thought Experiment Nobody Runs
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.