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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

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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…

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Joe Nail (2023 cohort), joint MBA/Master in International Policy student, imagines a world where faith, family, and courage are our guiding values, and where all Americans are bound together through service. He joins hosts Willie Thompson, Taylor Goss, and guest host Sydney Hunt to chat about emulating service exhibited by his parents, leading as an introvert, discovering his entrepreneurial spirit, launching a new initiative for US military veterans, and so much more.

Highlights from the episode:

(4:38) Joe’s trajectory from growing up in Kansas to attending UNC Chapel Hill, serving in the military, and applying to Knight-Hennessy
(10:28) How Joe’s love for public service and sports are inspired by his parents
(16:23) Joe’s passion for long-distance running, and the adventures he’s had pursuing this passion
(24:10) The story of the start of Lead For America, Joe's nonprofit creating public service leadership opportunities across the US, and Joe’s style of leadership as an introvert
(30:52) Project 1310, a fundraising campaign Joe is doing by running a marathon in every state to raise money for a veteran's fellowship for Lead for America
(37:10) How Joe thinks about the role of military service today
(44:45) Joe’s improbable facts about running in Anarctica, and his first business venture Joe’s Snack Shop
(53:33) Joe’s advice to Knight-Hennessy applicants to think purposefully about why Stanford and Knight-Hennessy make sense as a next step for them

33 episodios

#Imagine A World #Careers #Society #Conversations #Business #MBA #The KnightHennessy Scholar