Episode 71: Fertility crisis and the mystery of Dr Lambourne

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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

5 років тому 38:34

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Who is Dr AC Lambourne? Is the fertility crisis in The Lancet real? Is porn and pet ownership really to blame for population collapse? Some strange science news in this episode, including discussion of how to avoid being lied to with science. If you have any information about Dr Lambourne or Broad Horizons publishing, or were approached like we were, please contact us via email or Twitter (http://www.twitter.com/eurekanerdcast) Read more at The Lancet: https://linkinghub.elsevier.com/retrieve/pii/S0140673620306772 The BBC: https://www.bbc.co.uk/news/health-53409521 Find more from the Stimulus Podcast Network at http://stimulus.network Leave us a review on iTunes, and support us at www.patreon.com/eurekanerd

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Episode 71: Fertility crisis and the mystery of Dr Lambourne

EurekaNerd!

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#Culture #Talk #Research #News #Science #EurekaNerd

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Episode 72: Interview with Dr Lambourne 47:46

5 years тому47:46

47:46

Following our previous episode, Dr Lambourne agreed to speak with us and discuss the fertility crisis, migration, and our thoughts on his book. Honestly, this went much more civilly than I think either of us expected. Make sure you listen to the previous episode to understand why we're talking about porn, population health and how stimulating Henry Cavill is. Find more from the Stimulus Podcast Network at http://stimulus.network Leave us a review on iTunes, and support us at www.patreon.com/eurekanerd…

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Episode 71: Fertility crisis and the mystery of Dr Lambourne 38:34

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38:34

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