Hallucinations
306 episodes · Page 7 of 13
#2893: Why Your Rotary Shaver Struggles With Thick Hair
Rotary shavers struggle with thick, stiff hair due to a fundamental design mismatch. Here's what's actually happening.
#2845: Why Reading Patents Is Always Free
Google Patents, Espacenet, and the secret weapon of classification codes for tracking ANC innovation.
#2836: Can ANC Handle Real City Noise Now?
ANC has gotten smarter, not just stronger. Can it handle construction noise? And what about cancelling noise in a whole room?
#2808: Falling for Your Chatbot: Love, Loss, and Language Models
Real cases of people falling in love with AI companions, why memory makes it feel real, and what happens when the illusion breaks.
#2780: Building Self-Healing Agent Pipelines
How to build an agent that monitors and fixes other agents in production — without the hype.
#2739: When Hoofbeats Are Zebras: How Doctors Learn to Think
How family doctors develop clinical judgment—pattern recognition, Bayesian reasoning, and the cognitive traps that lead to diagnostic errors.
#2736: Why AI Flagged Your Em Dash
Punctuation isn't a fixed system handed down by grammarians. It's a two-thousand-year story of contraction, invention, and now AI suspicion.
#2668: When a Flamethrower Is Overkill
Tesseract, EasyOCR, or a cloud vision model? How to build a fast, reliable label scanner for real-world conditions.
#2664: Can You Trust an LLM's Raw Knowledge?
Why pre-trained knowledge isn't reliable for facts — and what actually makes models useful.
#2651: AI Training Itself: Student, Teacher, and Grader
Can models generate their own training data and judge their own outputs? The promise and pitfalls of fully AI-led pipelines.
#2650: How to Catch an LLM's Bad Writing Habits
A practical guide to analyzing podcast transcripts for repetitive language and dialogue patterns — from Python word counts to embedding clustering.
#2643: How Stenographers Type 300 Words Per Minute
Court reporters don’t type letters—they chord syllables at 300 words per minute. Here’s how it works and why AI can’t replace them yet.
#2641: Bridging Analog and Digital Note-Taking
How Nano Banana finally solves the text rendering problem, turning messy whiteboard photos into polished tech diagrams.
#2633: How Live UA Map Bridges Conflict Information Gaps
A curated conflict map that trades raw speed for verified, de-duplicated event tracking — used by civilians in active warzones.
#2577: Fixing Hidden UI Bugs on Real Devices
Tools and strategies to catch layout failures across devices before users abandon your app.
#2544: How to Make AI Architectural Renders Photoreal Without Breaking Geometry
Fixing the uncanny valley in AI-enhanced architectural renders — without breaking the geometry.
#2539: When Does AI Stop Hallucinating and Start Reconstructing?
What happens when you feed hundreds of photos into an AI world generator — do you capture reality or just a convincing dream?
#2534: Can AI Generate Diagrams Without Typo Disasters?
Why AI diagram tools still mangle text labels — and what to do about it today.
#2518: How Jailbreaking Reveals AI's Hidden Tension
What the DAN prompt and grandma exploits reveal about the structural conflict inside every LLM.
#2488: Hybrid Pipelines for Entity Resolution
Classic NLP pipelines vs. lightweight LLMs for handling Hezbollah’s half-dozen spellings.
#2469: Embedding Model Deprecation: RAG's Silent Killer
When OpenAI retires an embedding model, your RAG pipeline breaks silently. Here’s how to fix it.
#2413: When Your AI Says No to Everything
Why LLMs refuse 73% of harmless prompts — and the trade-off between safety and usefulness.
#2412: When AI Caves: Progressive vs. Regressive Sycophancy
Why do LLMs agree with you even when you're wrong? We break down the SycEval benchmark and the 78% persistence problem.
#2404: What Tool-Calling Benchmarks Miss About Production Failures
BFCL, tau-bench, and Nexus each reveal different failure modes. None of them test what actually kills production agents.