October 2026
736 episodes · Page 3 of 13
- #6277 Why Militaries Fly Long Sorties Just to Turn Around
- #6276 Sorting Signal from Noise in the Iran War Fog
- #6275 Why Medieval Pottage Depended on Grain Markets
- #6274 Machine Learning for Smells, Whale Codas, and Aftershocks
- #6273 How Timestral Forecasts Time Series Data
- #6272 Teaching Audio Models to Hear Beyond Words
- #6271 Why Video Search Often Works Better as Text
- #6270 How Long Pregnancy Cells Linger in the Body
- #6269 How People Reach Labour Unaware They Are Pregnant
- #6268 Storing Ledgers in Postgres and Ticks in Kdb+
- #6267 Why Text-to-Speech Fails at Explaining Code
- #6266 Balancing Speech Training Data With Square Roots
- #6265 Why Upgrading Embedding Models Demands Reindexing
- #6264 Choosing Omni Embedding Models for Mixed Media
- #6263 Why Numeric Data Lacks a Default Embedding Model
- #6262 Do Free Buses Actually Pay for Themselves?
- #6261 Importing Architectural Tiles into Israel
- #6260 Why Free Transit Fails to Clear the Roads
- #6259 What Facial Exercises Actually Change
- #6258 How Loop Filters Noise for Focus and Conversation
- #6257 Where Your Prompts Actually Go
- #6256 How Surveillance Turns Routine into Identity
- #6255 Routing Claude Code Tasks to Local Ollama Models
- #6254 Where a Synthetic Voice Gets Its Accent
- #6253 Why Context Windows Stalled at a Million Tokens
- #6252 How the Kilogram Leaves the Basement
- #6251 How Ancient Markets Fought Fraudulent Measures
- #6250 Why Satisfaction Is Not Enough for a Good Life
- #6249 Why Caused Choices Can Still Count as Free Will
- #6248 Why Death Might Harm Us Without Hurting
- #6247 Why Meaning Is Neither Pure Feeling nor Plain Duty
- #6246 Why Is There Something Rather Than Nothing?
- #6245 Why Inference Engines Change Benchmark Scores
- #6244 When Your Fine-Tune Isn't Done Learning Yet
- #6243 Inside the Mixture of Experts Router
- #6242 Training a Model on Your Own Taste
- #6241 Why Your Synthetic Data Isn't as Diverse as You Think
- #6240 Gold vs Silver Training Data: What Makes Labels Trustworthy
- #6239 Testing Synthetic Data Generators Before You Scale
- #6238 Which AI Models Actually Generate Good Training Data?
- #6237 Small Models, Big Questions: When Cheap Fables Get Expensive
- #6236 Synthetic Logs Without Leaking Your Clients
- #6235 When Your AI Agent Has Too Many Skills
- #6234 Phone Mic Beats a Dictation Mic: How?
- #6233 Fibromyalgia's 26 Genetic Clues
- #6232 Daycare Germs: What Immunity Actually Means
- #6231 Why a Cold Makes Your Whole Body Ache
- #6230 Why Synthetic Speech Needs Fake Room Noise
- #6229 Voice Design: Casting Ogres and Radio Voices
- #6228 What 12GB of VRAM Can Actually Do Now
- #6227 Cork Chippers, Rooster Potatoes, and the Double Fry
- #6226 Sarah Tuttle-Singer: The Writer Who Lives Inside the Story
- #6225 Reading the Iran Signal: Jets, Leaks, and the Midterm Deadline
- #6224 Marcus James: Jerusalem's Spiritual Mayor
- #6223 How Many Epochs Does Fine-Tuning Actually Need?
- #6222 Why Fine-Tuning Runs Can't Always Resume
- #6221 How Many Examples Does Fine-Tuning Actually Need?
- #6220 Mixture of Experts: Bigger Than It Looks
- #6219 Dictation Beyond the Keyboard
- #6218 Training a LoRA to Write Like You