AI
Artificial intelligence, machine learning, and everything LLM
#4682: When Context Windows Grow: What Survives?
If context windows jump to 10M tokens, which AI engineering practices survive? We separate load-bearing architecture from temporary scaffolding.
#4681: Loops vs Workflows: Defining AI's New Unit of Work
What makes a Claude Code loop different from a prompt or workflow? We pin down the actual definition—and who owns the off switch.
#4680: Inside Amazon's Delivery Machine: From Robot Picking to Your Doorstep
How Amazon's fulfillment centers, 750K robots, and Prime's economics make next-day doorstep delivery feel like gravity.
#4679: Inside the Machines: Amazon vs. AliExpress Marketplaces
We break down the structural differences between Amazon's FBA logistics machine and AliExpress's cross-border escrow model.
#4672: How Magic Eraser Tools Actually Work: Segmentation + Inpainting
Two AI stages — pixel-level segmentation and generative inpainting — explain how your phone erases objects cleanly.
#4670: Why AI Weights Are Indecipherable
Can you actually read an AI model's weights like a book? We explore why the answer is mostly no — and what researchers are doing about it.
#4669: What "Distribution" Really Means in AI Models
Unpacking what "distribution" actually means under the hood — and why training data variety shapes model behavior.
#4668: Why Podcast AI Voices Sound Too Perfect
We dig into why AI podcast voices sound too clean—and how TTS is learning to stumble, overlap, and interrupt convincingly.
#4667: How Transformers Killed the Robot Voice
From espeak's robotic squawk to neural voices with added "ums" — how transformers made speech synthesis human.
#4666: Why 30 Seconds of Audio Beats 3 Minutes for Voice Cloning
Why adding more audio made Daniel's voice clones worse — and what it reveals about how voice embeddings actually work.
#4665: The Hidden Auction Where Your Data Gets Sold
How your phone's location, shopping habits, and health searches get auctioned off in milliseconds — and why paying for apps doesn't protect you.
#4664: The Trapdoor in Your CPU: How Hypervisors Actually Work
Inside the silicon trapdoor that makes virtualization possible — and why it's nothing like Docker.
#4663: Python vs TypeScript for MCP Servers: The Real Decision Rule
Both are first-class for MCP, but the real choice depends on what your server talks to. Here's the framework.
#4662: TypeScript Server Anatomy: Layers & Request Flow
Dissecting a TypeScript backend from runtime to repository — how middleware, services, and data access fit together.
#4660: When a Journalist Became the Gatekeeper for AI Geolocation
GeoSpy could locate anyone from a photo. A journalist exposed it. The founder pulled it. Who's really in charge?
#4658: Will AI Coding Kill Programming Languages?
Machines now write code better than humans. What happens to Python, TypeScript, and COBOL when no human reads the code?
#4656: Books That Outlive Frameworks: A Dev's Guide
Skip the API docs. Learn the data model, type system, and patterns that survive framework churn.
#4653: Does the Sectoral Transition Actually Create Wealth?
Is moving from farms to factories to services a law of economics — or just a pattern? And what does Israel's tech boom reveal about who actually be...
#4650: How Apache Became the Backbone of Modern Infrastructure
From a patchy web server to 320+ projects — how a volunteer non-profit became the default home for the software running the modern economy.
#4649: Why Open Source Heroes Can't Afford Rent
The code running the internet is maintained by people earning a dollar a year. Why does the market fail to reward our digital commons?