047 What is the Benefit?

Superpowered Mind with Clare Dimond

TechSurge: Deep Tech VC Podcast

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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 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…

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Last week, we looked at one horrible question to ask ourselves in the midst of resentment: What is my equivalent? This week we're looking at an even more horrible question: What is the benefit?

It is a horrible question because on the surface, it has the potential to be really dangerous. We need to understand its full power when we are in situations where there’s resentment towards someone or something. Is it possible that we might be benefiting directly from that situation? So in this episode, we’re going to explore why exactly this is a dangerous question, and how we can start using it as a tool for liberating our superpowered mind.

What is Covered:

-The surface level and the deeper level of benefiting from resentment

-Why resentment is an ego stabilising space

-The possible hidden benefits of staying in situations of resentment

-How to acknowledge choices that are being made in our present situation

-Transitioning from hidden choices and unachievable wants to conscious and achievable ones

-Why we should pose the question “What is the benefit?” only to ourselves

Resources:

-Learn more about me and my work at https://claredimond.simplero.com/

-Find me on Facebook https://www.facebook.com/claredimondreal

-Let’s connect on LinkedIn https://www.linkedin.com/in/clare-dimond-b533007/

-Follow me on Instagram https://www.instagram.com/clare_v_dimond/

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