AI is impressive. Until you ask it about something you actually know. That's whe
By Mansour Norouzi · April 16, 2026 · Curated by George's Blog
AI is impressive. Until you ask it about something you actually know.
That's when you catch it. The confident answer that sounds right but isn't. Not wrong enough to be obvious. Just wrong enough that you'd never follow it.
The problem isn't the AI. It's the context. Without your knowledge, it gives you the internet's average answer. If you're an expert, that's not good enough.
Andrej Karpathy talked about this. If you don't know the name, he co-founded OpenAI, built Tesla's Autopilot AI, and is one of the most respected voices in AI right now. He described building a personal wiki where the LLM organizes your raw sources, cross-links everything, and maintains it. Every query makes the base smarter.
So I built one.
Everything I know about Amazon advertising, PPC, AMC, brand operations. Course material. Presentations. Conference talks. Team sessions. Years of content. All in one place.
Now when I prep slides for a seminar, I don't start from scratch. I ask the wiki. It pulls from everything I've ever taught or written. The output sounds like me because it is me.
When a client account has a problem, I feed the data in and ask it to analyze against the full wiki. Every framework. Every diagnostic. Every root cause I've documented. It finds connections I'd miss on my own.
The AI didn't get smarter. It got my context.
If you're deep in any subject, build yours. The answers change when the knowledge behind them is real.