LLM

🎯 The Trap No One Warns You About You’ve been there. You ask an LLM a question, get a detailed response, and submit it with confidence. Days later, you discover the output was fundamentally flawed—not because the LLM was wrong, but because your question was framed from a position of ignorance. The uncomfortable truth: LLMs amplify your current state. They don’t fix it. ⚡ The Amplification Problem What “Amplification” Really Means Your knowledge state → LLM → Amplified output If you know 30% → LLM gives you an impressive-sounding 30% If you know 80% → LLM gives you an impressive-sounding 80% The danger: When you don’t know what you don’t know, the LLM output feels complete. It’s confident, detailed, and authoritative. But it’s authoritative within the frame you set—and that frame might be completely wrong. ...