2025
All notes from this year
DecDecember
वीर भोग्य वसुन्धरा
संसार में अधिकार जन्म या भाग्य से नहीं, बल्कि कर्म, साहस और निरंतर प्रयास से मिलता है। जो आगे बढ़ते हैं, वही पृथ्वी के फल प्राप्त करते हैं।
The Turin Horse: A Philosophical Anecdote at the Intersection of Thought and Life
Anecdote of Nietzsche embracing the Horse suffering while carrying Load and the Master of the Horse goes on beating the Horse!
The Mind’s Search for Meaning in an Ambiguous World
Human brain has a deep-seated need to explain events, the drive to connect causes, effects, and meanings even where none exist. Our compulsion to find reasons both empowers and deceives us. What it might mean to meet reality without interpretation?
How Language Engineers Reality
An exploration of Alfred Korzybski's general semantics and its modern implications, revealing how words function as instruments of perception control. From corporate euphemisms to media framing, this piece exposes the Stimulus-Symbol-Response Loop that governs human behavior through linguistic manipulation.
The Data Bottleneck: How Modern ML Systems Fail and How to Build Ones That Dont
Data science has shifted from a compute-centric discipline to a data-intensive, systems-oriented one. It explains why traditional modeling skills are no longer enough and why production success depends on understanding data pipelines, reliability engineering, scalability constraints, distributed systems behavior, maintainability, and real-world fault tolerance. It reframes the role of the data scientist as a builder of resilient sociotechnical systems with an emphasis on operability, latency, robustness, and long-term evolution.
Auto-Scaling: The Hidden Engine Behind Modern Platforms and Real-Time Machine Learning
A deep dive into why auto-scaling is essential for platforms like Zomato, Swiggy, Uber, and Netflix to survive radical demand uncertainty. Explores how dynamic infrastructure enables reliability, cost-efficiency, and cutting-edge machine learning at massive scale.
The Electromagnetic Spectrum: A Universe in a Single Number
All electromagnetic phenomena from the hum of electrical circuits in your walls to the light you see, from radio waves to cosmic rays are the same thing, distinguished only by one number: frequency of oscillation.
I am Dim and Confused while the People are Clever and Wise!
The certainty with which a system holds its maps inversely correlates with its contact with the territory. The more fixed your categories (good/evil, yes/no, fear/safety), the more energy you expend maintaining the fiction, and the less bandwidth remains for perceiving what is actually occurring.
The Limits of Language and What Cannot Be Said
The limits of your Language are the limits of your Reality!
The Picture Theory of Meaning
Most confusion in thinking comes from category errors, using factual language for non-factual domains, or vice versa. Stop seeking foundations where none exist. Philosophy's job isn't to build grand theories about the nature of reality, mind, or truth. It's to untangle confusions, to show you where you've mistaken grammar for metaphysics.
The Expanding Frontier of Ignorance
Every piece of knowledge is merely an approximation to complete truth. All things must be learned only to be unlearned again, or corrected. The test of all knowledge is experiment, yet the source of knowledge requires imagination to guess at patterns, then experiment again to check the guess. Even a very small effect sometimes requires profound changes in our ideas.
Why Humans Blush, Laugh, Kiss, and Perform “Irrational” Acts?
Human involuntary behaviors like blushing, laughter, kissing, and even taboo acts are evolutionary truth-leak mechanisms designed to stabilize cooperation in a highly intelligent, deceptive species. They function as biological transparency systems that enforce honesty, synchronize groups, and maintain social cohesion across all levels of human interaction.
Statistics as the Art of Transformation
Statistics is not merely the science devoted to organizing, summarizing, and ultimately making sense of such information. Statistics is the discipline that turns raw experience into structured understanding. Statistics answers the question: How do we convert the overwhelming chaos of the world into patterns we can understand, trust, and act upon?
Markov's Revenge: Chains of Consequence
What if the most powerful technologies in human history: atomic bombs, search engines, artificial intelligence were all accidents? What if they emerged not from grand visions, but from a Russian mathematician's fury at a religious rival? How Markov chains, invented in 1906 to refute a proof of God's existence, became the computational foundation of modernity. It's a story about intellectual warfare, unintended consequences, and the terrifying realization that we live inside abstractions we never chose and cannot escape.
The Art of Asking the Right Questions in Data Science
Data only answers the questions it’s capable of answering. Good analysis depends on asking clear, assumption-based questions that directly solve the real problem, otherwise even perfect models produce useless or misleading results.
NovNovember
Fundamental Physics behind Artificial Intelligence
Structural links between Artificial Intelligence and fundamental Physics
Logic vs Probability: The Dual Worlds of Software and Data Science
Philosophical difference between Data Scientist and Software Engineer
Entropy, Surprise, and Coding Limits in Machine Learning
Shannon entropy as average surprise and minimum lossless code length, using dice and coding examples to link uncertainty, compressibility, and optimal coding. Covers uniform vs nonuniform distributions, Shannon’s noiseless coding theorem, maximum-entropy derivation via Lagrange multipliers, and connections to cross-entropy, KL divergence, decision trees, and data compression.
Cambridge Analytica Scandal
A concise account of how Cambridge Analytica harvested Facebook data from 87 million users, built psychological profiles, and used precision-targeted political messaging during the 2016 U.S. elections, revealing the power of data-driven behavioral manipulation and Facebook’s role in enabling it.
Epistemic Warfare in Elections
A deep narrative excavation of Shivam Shankar Singh’s account of data-driven campaigning in How to Win an Indian Election.
Han Feizi’s Law of Strategic Mismatch
Analysis of Han Feizi’s principle that destruction is inevitable when you attack order with chaos, legitimacy with deviance, or flexibility with rigidity.
The Primacy of Simple Models
Start with a simple Model first, if it fails, you know you are in the wrong direction without going too far. So you can change the direction and route.
Information Theory: The Architecture of Uncertainty and Human Power
A detailed introduction to Information Theory with its application in almost whole of the Universe.
The OKCupid Experiment: When Data Met Desire
How Chris McKinlay used Web Scraping and got Lucky.
Generative and Discriminative Models
How Generative and Discriminative Models work.
Data-Centric, Not Data-Driven
Why Data-Centric is more appropriate term compared to Data-Driven.
The Symphony of Human Change
An exploration of human emotional volatility and the unconditional acceptance that makes love possible.
Exploration - Exploitation Curve in Reinforcement Learning
An examination of the fundamental tension in reinforcement learning between exploring new possibilities and exploiting known rewards.
Pattern Recognition and Machine Learning
A concise exploration of pattern recognition as the computational evolution of humanity's timeless quest to find order in data and generalize from examples.