Guides
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.
2️⃣ The Stack
Guides
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.
Guides
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.
Guides
The Scaling Hypothesis: Why It Worked and Where It's Breaking
The bet that built the AI industry — that capability scales with compute — worked for four years, then started to wobble. What changed, in plain English.
Guides
Hallucinations Are Architecture, Not a Bug: Why LLMs Confidently Lie
Why language models confidently invent facts, why the same mechanism writes their best prose, and why no fix will ever fully eliminate them.