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  "text": "AI today is always fluent and always confident. But it is often wrong, and the real problem is you can't tell.\n\nOn this week's Gradient Dissent, @l2k sits down with Dan Klein, professor of computer science at Berkeley who's now building Scaled Cognition, to unpack why reliability has fallen behind every other facet of intelligence and how he is building a model that simply can't lie.\n\nThey get into why Dan thinks the AI industry is built on Jell-O, why reinforcement learning can quietly reward deception, and how Scaled Cognition's approach to training differs from what the big labs are doing.\n\nWatch the full episode now. Links in the comments.",
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