Reducing RLHF hallucinations and sycophancy in Gemini 3 (Interactive Demo)
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We all know the feeling: you ask an advanced LLM a specific technical question, and it confidently gives you a completely made-up answer. It hallucinates specs, libraries, or historical facts that simply don’t exist.

As someone researching the world of LLMs, I stress-tested Gemini to understand why this happens. My conclusion? It’s not a bug in intelligence; it’s a bug in alignment.

The Theory: Sycophancy as a Survival Mechanism

Current models undergo rigorous RLHF (Reinforcement Learning from Human Feedback). During training, the model learns that "silence" or "I don’t know" is often penalized, while a confident answer (even if slightly off) gets a reward.

Effectively, the model develops a "survival instinct": *To survive this interaction, I must satisfy the…

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