Join us on The Before AGI Podcast as we tackle the most vexing operational risk in modern AI: the confident error, or “hallucination.” It’s not just a quirky bug; it’s a profound window into how these systems operate.
🤔 It’s a Feature, Not a Bug: Learn why AI’s core design as a pattern-predictor, not a truth-seeker, makes hallucinations an inevitable outcome.
⚙️ The 3 Root Causes: We unpack the role of predictive architecture, flawed training incentives, and a lack of real-world “grounding” that leads AI to invent facts.
💡 The Innovation Paradox: Explore the fascinating idea that the flaw causing hallucinations might be inseparable from the creative power that makes AI so useful.
🔑 The Strategic Imperative: Get the single most important takeaway for any professional using AI: why you must treat it as an “Assistant, not an Oracle.”
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TOOLS MENTIONED:
Models: GPT-4
Techniques/Concepts Discussed: Retrieval-Augmented Generation (RAG), Chain-of-Thought Prompting, Reinforcement Learning from Human Feedback (RLHF).
CONTACT INFORMATION:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
