HYPNOSIS: Tammy in WWII London, 1936

Past Life Traveler

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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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summary

In this episode, Angie J. Hernandez, a certified hypnotherapist, guides her guest Tammy through a Past Life Regression session. They explore Tammy's feelings of bad luck and emotional blocks, leading to a past life in 1936 London during a tumultuous time. The session reveals insights about Tammy's current life challenges, the impact of past experiences, and the potential for healing and self-discovery through hypnosis. The conversation emphasizes the importance of positive thinking and the role of energy healing in personal growth.

takeaways

Hypnosis can assist in overcoming bad habits and emotional challenges.
Exploring past lives can provide insights into current life issues.
Feelings of bad luck may stem from unresolved past experiences.
The environment in 1936 London was polluted and unsafe due to industrialization.
Experiencing a traumatic event, like a fire, can lead to significant life changes.
Connecting with guardian angels can provide comfort during difficult times.
Healing the soul involves cleansing negative experiences from past lives.
Energy healing practices, like Reiki, can enhance personal healing abilities.
Self-discovery through hypnosis can lead to a deeper understanding of one's life path.

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