America’s reactionary moment

The Gray Area with Sean Illing

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1:14:43

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 math that powers 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…

πριν περίπου ένα χρόνο 1:18:03

What just happened?

It’s been almost two weeks since the presidential election, and many Americans are still grappling with the result. The political reckoning will probably last for months, if not years, and we may never know exactly why voters made the choices they did. But one thing is clear: the roughly 75 million people who voted for Trump were saying “No” to something. So what were they rejecting?

Today’s guest is Zack Beauchamp, Vox senior correspondent and author of The Reactionary Spirit: How America's Most Insidious Political Tradition Swept the World. It’s a book about democracy and the contradictions and conflicts at the heart of it.

Beauchamp speaks with host Sean Illing about America’s growing reactionary movement and what it could mean for the country’s political future.

Host: Sean Illing (@SeanIlling), host, The Gray Area

Guest: Zack Beauchamp, Vox senior correspondent and author of The Reactionary Spirit: How America's Most Insidious Political Tradition Swept the World.

Learn more about your ad choices. Visit podcastchoices.com/adchoices

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#Society #Philosophy #Vox Media Podcast Network #Im On #News Talk #Progressive #News #Politics

America’s reactionary moment

The Gray Area with Sean Illing

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published πριν περίπου ένα χρόνο

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MP3•Αρχική οθόνη επεισοδίου

What just happened?

Beauchamp speaks with host Sean Illing about America’s growing reactionary movement and what it could mean for the country’s political future.

Host: Sean Illing (@SeanIlling), host, The Gray Area

Guest: Zack Beauchamp, Vox senior correspondent and author of The Reactionary Spirit: How America's Most Insidious Political Tradition Swept the World.

Learn more about your ad choices. Visit podcastchoices.com/adchoices

699 επεισόδια

#Society #Philosophy #Vox Media Podcast Network #Im On #News Talk #Progressive #News #Politics

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