Asking For A Friend With Jon Lee Brody podcast

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

6 giorni fa1:14:43

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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…

Asking For a Friend with Jon Lee Brody explicit

Pagina principale della serie•Feed

Determined to get answers to all of life's questions...on behalf of my friends.

3 episodi

#Comedy #Season 1 #Asking For a Friend with Jon Lee Brody

Asking For a Friend with Jon Lee Brody

Asking For a Friend with Jon Lee Brody explicit

updated 6 anni fa

Pagina principale della serie•Feed

Determined to get answers to all of life's questions...on behalf of my friends.

3 episodi

#Comedy #Season 1 #Asking For a Friend with Jon Lee Brody

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Season 2, Episode 8 Grace Expectations on Floating 28:04

6 anni fa28:04

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28:04

Time for a new Grace Expectations. On todays episode Grace talks about her experience with floating in a sensory deprivation tank. The float was provided courtesy of Just Float in Pasadena, CA. What did Grace think of the experience? Listen and find out!

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Season 2, Episode 7 Asking for Cody Walker 1:16:00

6 anni fa1:16:00

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1:16:00

Cody Walker joins us this week! He talks about growing up in California while witnessing his brother Paul rising to super stardom, meeting his wife Felicia and saving a life the same day he proposed, continuing his brother Paul's charitable mission with Reach Out Worldwide, working with Nicolas Cage and a lot more. I've known Cody a long time, he's like family. But this was fun getting to know him even more. Enjoy as we ask for a friend....to Cody Walker.…

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