Bradbury 100 - Episode 61 - Ray Bradbury and Radio's SUSPENSE!

Bradbury 100 - Celebrating the Life and Work of American Writer Ray Bradbury

Bradbury 100 - Celebrating the Life and Work of American Writer Ray Bradbury

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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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Here's another new episode of my Bradbury 100 podcast. This time, I look at the early years of Ray Bradbury's professional career, which saw him not only mastering the craft of short story writing and putting together his first book, but branching out into media - in particular, getting his stories and scripts onto national radio shows such as CBS's SUSPENSE. Over a span of a dozen years, Suspense produced no fewer than eleven shows based on Bradbury stories, with some of the stories being produced multiple times. I argue that this early media presence - which included a number of stories previously unpublished - helped cement Bradbury's growing popularity and reputation. I have a playlist of full versions of all of Bradbury's SUSPENSE episodes in the shownotes on my website at https://bradburymedia.blogspot.com/2025/01/ray-bradbury-on-radio-suspense.html

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Bradbury 100 - Celebrating the Life and Work of American Writer Ray Bradbury