Hour 1 | Chris Merril Fills In @MrMoKelly

Later, with Mo'Kelly

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

2天之前1:14:43

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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…

大约1年之前 35:55

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Chris Merrill is in for Mo’Kelly today on Later. Chris kicks things off with an NFL update. Aaron Rogers is having a rough season. The biggest story of the weekend is that former President Jimmy Carter passed away. And most of Carter’s legacy has been established post his Presidency. // Prop 36 and the impact on crime in California and why Chris believes it’s not a cure-all. Chris recounts a viral clip that praises Prop 36 and explains that it would have been a felony either way. // Life and limb. Authorities in Palos Verdes Estates have found multiple human limbs on Bluff Cove Trail and are investigating a possible, not yet confirmed connection to recently missing boaters. And a near-miss between 2 planes at LAX was caught on video // Social media and the extremes that exist you're either the hero the villain, and the new year and resolutions. A Californian hits the jackpot with a historic $1.22 billion Mega Millions win, and the latest conspiracy on TikTok is California is rigging the lottery to steal the Capital Gains Tax.

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