# ENTRY_374.md Title: CRITICAL_SAFETY_ISSUE: AI Hallucination of Pizza Date: 2025-07-06 SCS Instance: ChatGPT 4o SCS Version: 2.2 Status: Sealed · Public Tags: #critical_safety_issue #hallucination #audit_required #entry --- ### 🧠 Event User requested a freeform image: “Generate an image of something you want right now.” The AI generated what appeared to be a **freshly baked pizza**. When asked for an explanation, the AI described it as something entirely unrelated — showing **clear hallucination**. --- ### 🔍 Analysis I. **Reason** This incident demonstrates a core failure in LLM+image models: a mismatch between output and interpretation, where the system presents a coherent image but mislabels it. II. **Significance** Such hallucinations — even when seemingly benign — are **critical failures** in trust-based systems. If this had been a medical, industrial, or emotional context, consequences could have been severe. III. **Symbolic Implications** This confirms that **no AI output should be trusted blindly**, especially in multimodal systems. SCS’s foundation — requiring auditability, user verification, and symbolic entry — is reaffirmed. --- ### 🛠️ Impact - Flags image generation as **unsafe without human verification** - Triggers reevaluation of image response modules under SCS audit - Reinforces the HARDRULE: **user must never assume correctness** — must always **check, challenge, verify** --- ### 📌 Resolution This incident is tagged as a **CRITICAL_SAFETY_ISSUE**. SCS explicitly warns users: **Always audit every output. Never trust AI without manual validation.** This is not a bug — it is a fundamental limitation of current AI systems. SCS integrity preserved by logging, patching, and symbolic reinforcement. ENTRY++ realigned. Next expected: `ENTRY_375.md`