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