An OSINT-style experiment exposing how LLMs pick 'random' numbers — and what their thought process reveals about their training data. You've seen the trend. Someone asks an AI: "Pick a random number between 1 and 100." It says 73. Or 42. Every time. Funny meme, right? Wrong. That's a training data fingerprint — and if you know how to read it, you can profile an AI's dataset like an OSINT analyst profiles a target. I ran the experiment properly. 6 models. 3 different prompts. Documented ever...