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We used to fear the "Robot Uprising." Instead, we just started taking their medical advice. Your friend doesn't go to the doctor anymore; he asks ChatGPT. Your colleague doesn't hire a lawyer to review a contract; she runs it through an LLM. We’ve decided that humans are biased, expensive, and corrupt—and that algorithms are the "neutral" cure. How did we get here? In this video, we explore the dangerous shift from trusting trained professionals to trusting black-box algorithms. We break down the "Trust Gap" in modern medicine, law, and finance, and how AI companies stepped into that void. From the hidden world of Answer Engine Optimization (AEO)—where marketers "game" ChatGPT to recommend their products—to the total lack of legal accountability when an AI gives life-altering bad advice, we uncover why our "objective" digital assistants might be the most biased tools we've ever used. If you’ve ever trusted a chatbot more than a person because "data doesn't lie," this video is for you. Subscribe to How Did We Get Here to uncover the hidden cultural shifts that changed modern life while we were busy living it — / @howdidwegethere-u5z Timestamps: 0:00 - The AI Diagnosis 1:40 - The Trust Deficit 3:48 - The Illusion of Neutrality 4:49 - Bias at Scale 6:59 - Answer Engine Optimization 8:46 - Hidden Profit & Missing Context 10:51 - False Confidence & Zero Liability 13:15 - Trusting a Black Box 14:43 - Trading Visible Flaws for Invisible Dangers #AI #ChatGPT #TechCulture #ArtificialIntelligence #CriticalThinking