Independent analysis of economics, technology, business, and public policy. Original essays informed by academic research, historical evidence, and data-driven reasoning.
The trade press defines a hyperscaler by server counts and square footage. But the word's root — scale — was always about how gracefully a system grows, not how big it is. Trace the slippage and you find an industry that named its firms for the one thing they made look effortless.
Everyone frames local versus cloud AI as privacy versus convenience. The real variable deciding which one bankrupts you is how many tokens you actually push through hardware you've already paid for.
Ask.com shut down the same month AI Overviews made 'ask a real question, get a real answer' Google's default. The irony masks a bigger shift: search volume is climbing while the open web's share of the resulting traffic is collapsing.
A chatbot with a million-token window can still lose the one fact you need, because attention isn't storage—it's a spotlight with a U-shaped blind spot in the middle.
From a struggling Korean chip firm to the world's largest DRAM producer, Samsung's semiconductor rise is a story of audacious strategy and relentless counter-cyclical investment.
Retrieval-augmented generation was sold as the fix for AI hallucination. Five years of deployment show it just moves the failure from the model to an unaudited retrieval pipeline — and a wrong answer with a footnote is more dangerous than an obvious bluff.
From Yahoo's hand-curated directory in 1994 to the billion-dimensional vector spaces powering today's AI, the database underneath every search has changed beyond recognition. Here's the 30-year story of how "finding things" became a geometry problem.
PostgreSQL's two supposed weaknesses—academic extensibility and the total absence of a corporate parent—are exactly why it outlasted every rival built to beat it.
The article explores how Ollama has become a pivotal movement in the AI space by enabling "Local AI." Instead of relying on cloud-based models (like ChatGPT) which pose privacy and cost challenges, Ollama allows users to run high-powered Large Language Models (LLMs) directly on their own hardware.
Apple stands at a pivotal moment. With nearly $400 billion in annual revenue, the company has outgrown most consumer markets on the planet. TVs, wearables, smart home devices, even VR and AI — none are big or profitable enough to meaningfully move Apple’s needle. As the search for the “next iPhone” continues, Apple faces a new reality: there are no existing markets left that can add $120B+ in new growth. The future will depend not on entering new industries, but on creating entirely new ones — and redefining how billions of people interact with technology.
In this article, we’ll explore how immigration affects both innovation and wages in the U.S., drawing on decades of studies. We’ll also compare how different researchers have tried to measure these effects—sometimes reaching very different conclusions. The goal is to make complex economics research accessible, so you can see what the evidence shows and why scholars sometimes disagree.