Guides
Superintelligence: Myth, Probability, and the Timeline Question
A guide to thinking about machines smarter than us — without picking a tribe. The arguments for, the arguments against, and how to update.
Guides
Guides
Augmented Humans: Carbon + Silicon, and Where This Actually Leads
What augmentation already exists, what's coming in the next decade, and what stays science fiction. A serious look at the human-machine continuum.
Guides
AI Agents: Real Autonomy, or Just Chained API Calls in a Loop?
What separates a real AI agent from a clever wrapper. Why Devin and Cursor work, why your fully-autonomous-worker dream doesn't — yet.
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Open vs Closed Source AI: When Each Wins, with Examples
A clean decision framework for when open weights beat closed APIs, when they don't, and the convergence trend reshaping the choice for builders.
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The Data Flywheel Decoded: Real Compounding vs. Pitch Theatre
Every AI deck mentions a data flywheel. Most don't have one. How to tell when the loop is real — and the single test that settles it.
Guides
What's Actually a Moat in AI — and What Just Looks Like a Moat
Most "AI moats" are marketing. A short field guide for builders, investors, and readers who want to tell defensible from disposable in 2026.
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Future AI Use Cases: What's Coming vs Still Science Fiction
An honest 3, 5, and 10-year forecast for AI — separating the deployments that will quietly land from the press-release science fiction.
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Current AI Use Cases That Actually Work — A 2026 Field Guide
A field guide to what AI genuinely does in production today — the jobs it has quietly taken, the ones it has not, with named companies and receipts.
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The Economic Risks of AI: Productivity, Inequality, Power
AI's economic impact, without the hype or the doom. Productivity gains, wage compression, capital concentration, and the quiet risk of model collapse.
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RAG vs Fine-Tuning vs Long Context: When Each Actually Wins
Three ways to make a model know your stuff. They are not interchangeable. A clear, opinionated guide to picking the right one — once.
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Embeddings: The Coordinate System Quietly Running Modern AI
How one mathematical trick — turning meaning into coordinates — became the hidden engine behind search, recommendations, RAG, and most useful AI today.
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The Chip Wars: NVIDIA, TSMC, and China's Parallel Stack
Why a single fab in Taiwan decides who builds the future of AI, why China is quietly assembling its own, and what both mean for you.
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AI vs Machine Learning vs Deep Learning: The Real Family Tree
Three terms used interchangeably, three different things. A clean mental hierarchy from Dartmouth 1956 to today's LLMs — once and for all.
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What Is a Transformer? The 2017 Architecture Behind Every LLM
How an eight-author Google paper from 2017 quietly became the architecture under every modern LLM — and why attention, not size, was the trick.
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What Is an LLM? The Plain-English Guide With No Math, No Hype
Inside the prediction machine: what large language models actually do, how they learn, and why they sometimes lie with total confidence.
Guides
Will AI Conquer Us? The i,Robot Scenario, Honestly Examined
The case for and against AI extinction risk, without the hype or the eye-rolls. What Bostrom got right, what gets ignored, and what to actually worry about.
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The Alignment Problem in 2000 Words: Why AI Doesn't Do What We Mean
Why aligning AI with human values is the hardest unsolved problem in machine learning — and why frontier labs ship products anyway.
Guides
AI in 10 Years: Three Plausible Scenarios With Named Drivers
Nobody knows where AI lands by 2036. Three internally-consistent scenarios — plateau, takeoff, bifurcation — beat any single point forecast you'll read.
Guides
Will AI Replace Your Job? The Answer Is About Tasks, Not Jobs
AI doesn't replace jobs — it replaces tasks. Which ones are vulnerable, which ones are safe, and what the next ten years actually look like.
Guides
Build vs Buy: A Practical Decision Tree for AI Products in 2026
A defensible framework for the build-versus-buy call every product lead is making right now. Four layers, one decisive question, zero hype.