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      <pubDate>Mon, 27 Feb 2023 12:46:23 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Think of this as the impossible lecture on AI. Recorded across time, but presented as one flow, a series of AI experts line up to contribute to the conversation. <a href="https://authoredby.ai">https://authoredby.ai </a></p><p>DISCLAIMER: The sound quality (and only sound quality!) from calls in this episode has been enhanced using AI. The otherwise identical unenhanced version can be found here: <a href="https://www.authoredby.ai/03unenhanced/">https://www.authoredby.ai/03unenhanced/ </a></p><p>Hosted by Stephen Follows and Eliel Camargo-Molina </p><p>Guests (in order of appearance) </p><ul><li>Mike Kanaan, Author of "T-Minus AI", Chief of Staff of the U.S. Air Force Fellow</li><li>Bob Fisher, Professor of Computer Vision at University of Edinburgh</li><li>Angelina McMillan-Major, PhD Candidate in Computational Linguistics at the University of Washington</li><li>Magnus Sahlgren, Head of research for natural language understanding at AI Sweden</li><li>Christoph Molnar, Researcher and author of "Interpretable Machine Learning"</li><li>Sameer Singh, Associate Professor of Computer Science at the University of California</li><li>Amandalynne Paullada, Researcher in Computational Linguistics at the University of Washington</li><li>Dan Rockmore, Professor of Math and Computer Science at the University of Dartmouth</li><li>Ken Stanley, AI Researcher, former Open-endedness Team Lead at OpenAI</li><li>GPT-3</li></ul><p>Edited by Eliel Camargo-Molina and Jess Yung</p><p>Music by Eliel Camargo-Molina and GPT-3</p><p>Mastering by Adanze "Lady Ze" Unaegbu</p><p>G46PUiGigCepW8Ld0R0D</p>
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