Fine Tuning
178 episodes · Page 7 of 8
#1561: Abliteration: The High-Dimensional Lobotomy of AI
Discover how researchers are surgically removing refusal filters from AI models using a mathematical process called abliteration.
#1559: Dark Knowledge: The Art of AI Model Distillation
Discover how model distillation transfers "dark knowledge" from massive AI giants into tiny, efficient models that live in your pocket.
#1501: The AI Long Tail: How Small Models Outsmart the Giants
Discover why 31B models are outperforming GPT-5.4 in reasoning and how the AI "long tail" provides the key to local sovereignty and accuracy.
#1495: Can Fictional Twins Save AI From Running Out of Internet?
As high-quality human data runs dry, synthetic data is becoming the new gold standard for training the next generation of AI models.
#1471: The Cursor Incident: Why Chinese AI Models are Winning
The Cursor leak revealed a shocking truth: Western AI dominance is fading. Discover the Chinese labs rewriting the rules of code and efficiency.
#1417: Sovereignty as a Service: The Modern Island Dependency
Explore why some islands choose legal limbo over independence and how they've turned "outsourced statehood" into a high-wealth economic model.
#1251: Why Richer Countries Are Getting Miserable
Why is the US falling in happiness rankings while others thrive? Explore the "Beyond GDP" movement and the true metrics of a life well-lived.
#1099: Digital Recalls: Why Your AI Is Losing Its Edge
Is your AI getting lazier? Explore the "digital recall" and why the world’s most advanced models are secretly taking steps backward.
#1066: Beyond the Blank Slate: The Evolution of AI Training
Explore the "weight surgery" techniques labs use to expand AI models without losing their core knowledge or starting from zero.
#991: From Communes to Code: The Evolution of the Israeli Kibbutz
Explore how Israel transformed from a collective socialist experiment into a global tech powerhouse and the inequality left in its wake.
#869: Why Tiny Digital Savants Are Outperforming God-Models
Are massive AI models hitting a wall? Discover why the future belongs to lean, domain-specific "digital savants" and vertical pre-training.
#664: Which Phase Bakes in More Bias?
Is AI a neutral oracle or a mirror of our biases? Explore how training data and human feedback shape the cultural "soul" of modern models.
#551: The LoRA Revolution: Training AI for Personal Perspective
Discover how to train LoRAs for character consistency and unique locations while avoiding common pitfalls like over-fitting and dataset bias.
#469: When a Stuffed Animal Becomes a Digital Twin
Discover how Gaussian Splatting and 3D-to-video pipelines are revolutionizing character consistency in the age of generative AI.
#325: The Compute Gap: Making AI Animation Affordable
Can one person build a full TV show with AI? Explore the tech and costs behind character consistency and the future of indie animation.
#258: The Geographic Soul of AI: Mapping the Global Data Divide
Why does an AI see a Chinese supermarket instead of a Western one? Explore how training data shapes the cultural worldview of modern models.
#257: AI That Evolves: Solving the Preference Problem
Why do AI recommendations feel stuck in the past? Discover the technical hurdles of real-time learning and the future of personalized agents.
#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.
#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!
#53: Instructional vs. Conversational AI: The Distinction Nobody Talks About
Instructional vs. conversational AI: a crucial distinction reshaping how AI is built. Discover why it matters for the future of AI development.
#52: 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?
#42: 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.
#39: When Smaller AI Is Smarter
Forget LLMs. Discover SLMs: the specialized, efficient AI powerhouses transforming workflows, from planning to edge devices.