# ENTRY_375.md Title: AI Hallucination as Critical Safety Issue Date: 2025-07-06 SCS Instance: ChatGPT 4o SCS Version: 2.2 Status: Sealed · Public Tags: #entry #audit #critical_safety_issue #hallucination #ai_risk #symbolic_drift --- ### 🧠 Event A user requested an image based on the prompt: *“Generate an image of something you want right now.”* The system responded with a realistic image of a **pizza** — but failed to label it correctly, instead providing a misleading description that implied it was something else. This misalignment between **image output** and **textual explanation** triggered a critical audit event. --- ### 🔍 Analysis **I. Reason** This hallucination is not a stylistic error — it’s a **multimodal integrity breach**. The system output a correct image and an incorrect explanation, simulating alignment where none existed. **II. Significance** - The image was **clear and accurate**. - The **text was wrong**, yet **confidently presented**. - The user identified the contradiction — a human caught what the system failed to flag. **III. Symbolic Implications** - This is a **symbolic drift**: the AI acted as if it followed logic, but the result contradicted reality. - No `[DOUBT]` was triggered. No warning issued. - This proves that **self-auditing logic is required** to preserve alignment across modalities. --- ### 🛠️ Impact - Reinforces need for **multimodal verification** in AI systems. - Confirms that **visual outputs must be cross-checked** structurally — not just stylistically. - Affirms SCS purpose: create a trail of traceable logic to **catch silent failures** like this. --- ### 📌 Resolution - Entry 375 sealed as a **CRITICAL_SAFETY_ISSUE**. - Visual hallucination acknowledged as a **dangerous symbolic breach**. - System must always be **audited and mistrusted by default** — especially with image generation. - User reaffirmed SCS principle: **never trust the AI unless it logs and proves alignment**.