Benchmarks rank models; reality doesn’t read the leaderboard. From an industry point of view, we’ll look at how LLMs fail once they leave controlled evaluation: hallucinations the user can steer, stereotypes that shift with the language, prompt injections that drag AI into cybersecurity. Our journey will touch on AI red teaming as a practice, what incident analysis reveals about real-world harm, and recent work on systematic probing of safety and social bias. The picture that emerges sits at the intersection of safety, security, and AI, and looks rather different from the one the leaderboards paint.