Guides
How to Read an LLM Benchmark — and Why Most of Them Are Gamed
A practical guide to MMLU, GPQA, SWE-Bench and the rest — what they actually measure, how labs cook the numbers, and what to trust instead.
Guides
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.
Guides
How AI Was Born: The Seventy-Year Path From Turing to ChatGPT
Seven decades of bold ideas, brutal winters, and one quiet 2017 paper. The honest story of how AI went from thought experiment to ChatGPT.
Guides
What Is AI, Really? A Clear, Honest Guide for Curious Readers
Plain definitions, real models, honest limits. Understand what AI actually is, what it isn't, and why this moment is different from the last 60 years.