Understanding the Elegant Math Behind Modern Machine Learning

Episode notes

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?

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

• Less about Models; More about ArchitecturePractical AI · on Neural networks85 / 100
• Jack Hidary, CEO of Sandbox AQ | The Third Quantum RevolutionThe BreakLine Arena · on Neural networks83 / 100
• 321 | How to Build an AI App Without Coding: From Idea to App Store with Replit & Claude by Bryce Rattner KeithleyLeveraging AI · on Artificial intelligence80 / 100
• Rapid Response: OpenAI’s Critterz blowback - Director Nik Kleverov on year zero for HollywoodPioneers of AI · on Artificial intelligence76 / 100
• He Made It To The NFL. Now He Wants To Prove Himself All Over Again.Catalyst by Camber Creek · on Venture capital74 / 100
• Edward Robson - Capital Allocation in TechnologyCloud Returns · on Venture capital68 / 100

• The Race to Build the Next Trillion-Dollar AI Chip Company90 / 100
• The Moving Bottleneck: Networking, Power, Memory, and the Race to Win AI87 / 100
• Battle for the AI Data Center: Deep Dive on the Semiconductor Supercycle84 / 100
• In-Orbit Manufacturing, AI Data Centers, and the New Space Economy with MIT’s Ariel Ekblaw77 / 100
• The U.S. - China Deep Tech Arms Race79 / 100