Surya Prakash Jayanti

The Power of Now: A Guide to Spiritual Enlightenment.  Reading this book gives you insights into how to achieve inner peace. Here are some quotes that hit me. Buddha's simple definition of enlightenment is "The end of suffering" It is not so much that you use your mind wrongly - you usually don't use it at all. It uses you. This is the disease. Can you be free of your mind whenever you want to? Have you found the "off" button? Compulsive thinking is actually an addiction. The present moment holds the key to liberation. But you cannot find the present moment as long as you are in your mind. Emotion: The body's reaction to your mind. Make it a habit to ask yourself: What's going on inside me at this moment? Am I at ease at this moment? is a good question to ask yourself frequently.  There are two levels to your pain: the pain that you create now, and the pain from the past that still lives on in your mind and body. Ceasing to create pain in the present

Five tribes: Domingo divides the field into five contemporary machine-learning paradigms- Evolutionary algorithms, connectionism and neural networks, symbolism, Bayes networks, and analogical reasoning- which he imagines being unified in one future "master algorithm" capable of learning nearly anything. Here are a few quotes that hit me. Computers are useless, they can only give you answers. If what you tell them to do is be creative, you get machine learning. Homo Sapiens is the species that adapts the world to itself instead of adapting itself to the world. Machine learning is the newest chapter in this million-year saga: with it, the world senses what you want and changes accordingly, without you having to lift a finger. Finding correlation is to machine learning no more than bricks are to houses, and people don't live in bricks. If every algorithm suddenly stopped working, it would be the end of the world as we know it. Michelangelo said that all he did was see the st

In the digital age, algorithms reign supreme, shaping our lives in ways we often fail to comprehend fully. Catherine O'Neil's eye-opening book, "Weapons of Math Destruction," dissects the underbelly of mathematical models, revealing their pervasive influence and unintended consequences on society. Mathematical models were once shrouded in mystery, accessible only to a select few deemed worthy of deciphering their complexities. O'Neil aptly describes them as opaque constructs, where the workings remain invisible to all but the highest priests in their domain. This lack of transparency lays the groundwork for a troubling reality: without feedback, these statistical engines perpetuate faulty and damaging analyses, never learning from their mistakes. Central to the discussion is the concept of model creation, where choices about what factors to include are made. Herein lies the crux of the issue; a model's blind spots reflect the judgments and priorities of its cr

I didn't know much about this author, picked up the book, and then went back and watched some of his debates on TV, very strong orator, argumentative, and most of all excellent hard worker. He does a lot of background work before every important interview.  This book is better suited as an audiobook than an ebook or handbook, as the author curated live interview audio snippets for his examples. Here are some of the interesting quotes from his book It's better to debate and settle than settle and debate.   You have to grab attention in the first 8 seconds. Make the most important point first, Leave the knowledge gap/curiosity, and start with insightful questions or jokes.   Know your audience, quote folks with whom they resonate, and what they are seeking. Like Ronald Regan's quote about immigration to the audience, if you are debating about immigration in front of a conservative audience. These are the three most important things in an argument Ethos: Credibility, establish

Exploring the Provocative Insights of "Humans Need Not Apply" In the landscape of technological advancement, few books have captured the imagination and provoked introspection like "Humans Need Not Apply." Authored by Jerry Kaplan, this thought-provoking work delves deep into the implications of automation, artificial intelligence, and the evolving nature of work in a rapidly changing world. Among the myriad concepts introduced in the book, one that stands out is the notion of the PBI, or Personal Benefit Index. In a world increasingly driven by automation and efficiency, the PBI serves as a metric for individuals to assess their own value and relevance in the face of technological disruption. Kaplan challenges conventional wisdom by suggesting that the age-old dichotomy between labor and management, famously expounded upon by Karl Marx, is evolving. Instead of pitting workers against their supervisors, the real threat lies in the inexorable march of capital replaci

In the realm of artificial intelligence, where algorithms reign and decisions seem abstracted from the human touch, Joy Buolamwini emerges as a guiding light, illuminating the shadows where bias and inequality often lurk. Her book, "Unmasking AI", offers a compelling narrative that challenges the status quo of technological development, urging us to confront the ethical and societal implications of our digital creations. Buolamwini's work extends far beyond the confines of academia or industry; it embodies a crusade for justice and inclusivity in the digital age. Her website, ajl.org , stands as a testament to her vision: a platform dedicated to accountability, advocacy, and empowerment in the face of ubiquitous facial recognition technology. Here are some compelling quotes from the book that resonated deeply with me: 1. "The moral outsourcing of hard decisions to machines does not solve the underlying social dilemmas." Buolamwini cuts through the veneer of tech