The All-American podcast

#Sports #Nicole Auerbach #The Americans

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…

The All-American

Home de séries•Feed

The All-American's Nicole Auerbach, Chantel Jennings and Max Olson break down college football's most important storylines. Their written work can be found at theathletic.com/all-american.

5 episódios

The All-American

updated há 7 anos

Home de séries•Feed

The All-American's Nicole Auerbach, Chantel Jennings and Max Olson break down college football's most important storylines. Their written work can be found at theathletic.com/all-american.

5 episódios

#Sports #Nicole Auerbach #The Americans

Todos os episódios

1
12/3: Playoff special 19:15

há 7 years19:15

19:15

All-American college football reporters Nicole Auerbach, Chantel Jennings and Max Olson react to the playoff announcement, discuss hypotheticals regarding snubbed Ohio State and pick their most-anticipated non-playoff bowl game.

1
11/29: A conference championship weekend preview and the latest coaching hiring/firing news 50:46

há 7 years50:46

50:46

All-American college football reporters Nicole Auerbach and Max Olson break down the College Football Playoff’s penultimate rankings and what they mean for championship games while also discussing jobs available in the SEC and Pac-12 and, of course, the Jersey Shore reboot.

1
11/22: Coaching changes, playoff rankings and Baker Mayfield 36:14

há 7 years36:14

36:14

The All-American’s Nicole Auerbach, Chantel Jennings and Max Olson discuss the new College Football Playoff rankings, Baker Mayfield’s punishment, where Chip Kelly should go and a Thanksgiving pie bracket.

1
11/15: Debating Clemson-Miami, loving the turnover chain and becoming a CFP spoiler 27:56

há 7 years27:56

27:56

All-American college football reporters Nicole Auerbach and Chantel Jennings break down the third College Football Playoff rankings as well as both the ACC and SEC races — and they also answer an existential question about the ranking system.

1
11/8: Taking stock of the second playoff rankings 28:16

há 7 years28:16