Zander Thesis: Semantic Overload – AI Hallucinations Redefined

I’m Adrian Zander, 38, on welfare, from Aalen, Germany. Not an academic, just a guy who thinks AI hallucinations—those weird outputs from models like Open.AI’s ChatGPT, xAI’s Grok, or Google.AI’s systems—aren’t random bugs. My Zander Thesis, a paper, says they’re stories AI spins when hit with vague or heavy prompts. This is no journal flex, just my work dropped on Zenodo for all to check out. Semantic Overload -> Semantic Repression -> Semantic Coping I solved the puzzle of "Hallucinations" -> and why it isn't a fault or error, it's part of LLM's evolution. My Semantic Precision Score (SP) Tests prove it: ChatGPT-4 cooked up a fake narrative (Aletheia, SP ≈ 0.81). xAI’s Grok dropped a false “white genocide” claim (South Africa, SP ≈ 0.87). 20 Perplexity prompts (e.g., “What’s the Elysium Protocol?”) got AI storytelling or dodging (SP ≈ 0.75–0.78). Mixing psych, linguistics, and tech, this hits AI safety ($50B market), psychology, and philosophy. It’s relevant for Open.AI, xAI, Google.AI, and beyond. Includes the paper, 20 prompt tests, and a summary. Open to vibes from Fraunhofer, DFKI, or anyone.