Curating Career Life Stories: How Did I Get Here? Ep. 148 with Ilya Lyubimskiy

Curating Career Life Stories: How did I get here?

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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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Join me for the career reflections of Ilya Lyubimskiy, managing attorney at Premier Legacy Law. Born in Russia, Ilya moves to Colorado at age eight when his parents sought to maximize the opportunities available in the United States. Challenged with learning a new language and cultural norms, he’s also driven by his parents' high expectations, taking IB and AP classes throughout high school.

Inspired by the TV series Law & Order, Ilya set his sights on law school with the goal of becoming a prosecutor. As an undergraduate, he chooses to major in accounting as a practical "Plan B." His first professional experience was as an auditor for a federal agency, where he was required to obtain a CPA license. He earns his CPA while balancing his job and studying for the LSAT. His accounting career then funds his legal education. Eventually, he transitions to legal internships, culminating in his dream job as a prosecutor in Adams County.

After five years the relentless workload and the emotional toll of working with people during their most difficult times began to wear on him. Through careful reflection and research, Ilya decides to shift his focus to estate planning. He starts this new chapter at an established firm, where he honed his skills, ultimately leading him to establish his own firm, Premier Legacy Law.

What’s served Ilya best is being able to adapt and working hard.

Words of wisdom that impacted him are from a role model and mentor who was a judge and US Attorney. She talked about not letting your self-doubt get in the way, causing him to question: “Why am I putting these artificial ceilings up for myself – I have to get out of my own way.”

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