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In today’s episode, we ventured deep into the cybernetic heart of William Gibson's "Neuromancer," a journey that illuminated the fascinating intersections between fiction and the tangible advancements in artificial intelligence. As we explored the philosophical underpinnings and ethical dilemmas presented by AI constructs like Wintermute and Neuromancer, we delved into how these fictional entities mirror the complexities and challenges of real-world AI development. Through the lens of "Neuromancer," we examined the evolving concepts of consciousness, autonomy, and the future implications of AI on society. This episode serves as a bridge between Gibson's visionary cyberpunk world and our current technological landscape, offering insights into the potential futures shaped by artificial intelligence.

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Want to get in contact? Write me an email: dietmar@argo.berlin

This podcast was generated with the help of ChatGPT and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads

In this episode of "A Beginner's Guide to AI," we delve into the profound question at the heart of both artificial intelligence and human curiosity: What is intelligence? Exploring the nuanced differences between mere calculation, information retrieval, and the true essence of intelligence, we challenge listeners to rethink their preconceptions. Is a calculator intelligent, or does intelligence require something more, something inherently human or beyond? Through a detailed examination of AI's capabilities, from AlphaGo's historic victory to the potential of artificial general intelligence, we uncover the layers of what it means for a system to be truly intelligent.

This thought-provoking journey is not just about understanding AI's current state but also about imagining its future and the ethical considerations that accompany advancements in technology. As we explore the benchmarks that distinguish intelligent from non-intelligent systems, we invite listeners to join us in contemplating the future of intelligence itself, both artificial and natural.

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This podcast was generated with the help of ChatGPT and Claude 2. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads

In this episode of "A Beginner's Guide to AI," we embark on a captivating journey exploring the intersection of science fiction and reality, focusing on the 1982 film Tron. We delve into how Tron's portrayal of a digital universe and sentient programs foreshadowed the advancements in artificial intelligence and virtual worlds. From the film's visionary impact to the real-world triumph of AI in AlphaGo, we unravel the evolution of AI and its profound implications on our lives. Join us as we trace the path from Tron's digital dreams to the tangible achievements of AI, examining the ethical considerations and future potential of this transformative technology.

This podcast was generated with the help of ChatGPT and Claude 2. We do fact-check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.

The researchers who create and study tech like ChatGPT don’t understand exactly how it’s doing what it does. This is the first episode of “The Black Box,” a two-part series from Unexplainable. This episode was reported and produced by Noam Hassenfeld, edited by Brian Resnick and Katherine Wells with help from Byrd Pinkerton and Meradith Hoddinott, and fact-checked by Serena Solin, Tien Nguyen, and Mandy Nguyen. It was mixed and sound designed by Cristian Ayala with music by Noam Hassenfeld. Transcript at vox.com/todayexplained Support Today, Explained by making a financial contribution to Vox! bit.ly/givepodcasts Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI has the potential to impact our society in dramatic ways, but researchers can’t explain precisely how it works or how it might evolve. Will they ever understand it? This is the first episode of our new two-part series, The Black Box. For more, go to http://vox.com/unexplainable It’s a great place to view show transcripts and read more about the topics on our show. Also, email us! unexplainable@vox.com We read every email. Support Unexplainable by making a financial contribution to Vox! bit.ly/givepodcasts Learn more about your ad choices. Visit podcastchoices.com/adchoices

David Silver leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar, and MuZero and lot of important work in reinforcement learning. Support this podcast by signing up with these sponsors: - MasterClass: https://masterclass.com/lex - Cash App - use code "LexPodcast" and download: - Cash App (App Store): https://apple.co/2sPrUHe - Cash App (Google Play): https://bit.ly/2MlvP5w EPISODE LINKS: Reinforcement learning (book): https://amzn.to/2Jwp5zG This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 - Introduction 04:09 - First program 11:11 - AlphaGo 21:42 - Rule of the game of Go 25:37 - Reinforcement learning: personal journey 30:15 - What is reinforcement learning? 43:51 - AlphaGo (continued) 53:40 - Supervised learning and self play in AlphaGo 1:06:12 - Lee Sedol retirement from Go play 1:08:57 - Garry Kasparov 1:14:10 - Alpha Zero and self play 1:31:29 - Creativity in AlphaZero 1:35:21 - AlphaZero applications 1:37:59 - Reward functions 1:40:51 - Meaning of life