Description
Most teams have no idea how often their AI is actually wrong. Dan Klein explains why hallucinations are like an iceberg — the ones you catch are a fraction of the real rate — why an enterprise's true hallucination rate is often 5x what they believe, and how to actually measure and monitor it before and after you ship.
Dan Klein is the CTO and co-founder of Scaled Cognition and a professor of computer science at UC Berkeley, where he leads the Berkeley NLP Group. He previously co-founded Semantic Machines (acquired by Microsoft in 2018) and built APT, a model designed from the ground up for reliable agentic AI.
🎧 Watch the full episode of DataFramed: https://www.youtube.com/watch?v=nPRn1o0VK58
Connect with Dan Klein: https://www.linkedin.com/in/dan-klein/ Scaled Cognition: https://www.scaledcognition.com/ Berkeley NLP Group: https://nlp.cs.berkeley.edu/
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