$67B in AI Hallucinations — It's Not the Model
Summary
Sixty-seven billion dollars lost to AI hallucinations last year. Everyone's upgrading the model — but 60% of RAG accuracy comes from retrieval, not inference.
About this video
Sixty-seven billion dollars lost to AI hallucinations last year. Everyone's upgrading the model — but 60% of RAG accuracy comes from retrieval, not inference. Here's what a real retrieval pipeline looks like: 1. Start with 1,000 candidate documents 2. Attribute filters remove wrong categories 3. Feature search narrows to semantic matches 4. Cross-encoder reranker scores what's left 5. LLM sees only 10 verified, relevant documents Five stages: filter, sort, rerank, enrich, reduce. Stop upgrading the chef. Fix the groceries. Full pipeline docs → mixpeek.com/retrievers #AIHallucinations #RAG #Retrieval #LLM #MachineLearning #AI #VectorSearch #Mixpeek