Note: I had stopped writing posts in 2017. Started again in late-2024, mostly for AI.
AI voice dictation is having a moment. These tools do more than transcribe—they read context, add punctuation, and learn your style. Many creators say they work two to three times faster. Two weeks ago I started using Wispr Flow Pro. Here is what I found. The Good...
Dharmesh's post made me realize there’s a name for something I’ve been doing implicitly for a while—using AI to help me write better prompts. Strictly speaking, that’s AI-assisted prompt refinement. There’s a closely related idea called metaprompting—writing prompts...
It happens to most of us multiple times a week: someone emails asking for a good time to meet, and before you know it, you're stuck in a back-and-forth scheduling spiral. It's a mundane friction that adds up. Four weekends ago, I decided to vibe-code my way to a...
When I first learned about Gradient Descent about two years ago, I pictured it in the most obvious 3D way - where one imagines two input variables (as x and y axis in a 2D plane) and the loss being the third (z) axis. In terms of 'local minima' I imagined it as the...
I first wrapped my head around diffusion models in 2023, thanks to MIT 6.S191 Lecture on 'Deep Learning New Frontiers'. The idea of reverse-denoising just clicked for me—it reminded me of how our brains pick out shapes and objects in clouds or random mosaics....
This weekend I finally finished reading Why Machines Learn: The Elegant Math Behind AI (by Anil Ananthaswamy). It took me seven months—an unusually long time for a 500-page book. But the detour was worth it: the book kept sending me down side paths, like brushing up...
Earlier this year, I began researching mitral valve surgery (specifically, valve repair vs. replacement) to help someone close to me. This experience introduced me to Retrieval-Augmented Generation (RAG) tools, which made navigating such a complex topic much easier....
Alright, OpenAI o1 is out. If you are anything like me, you first chuckled at the description that it was "designed to spend more time thinking before they respond". But once I delved deeper, it quickly became mind-blowing. (By the way, Ethan Mollick offers an...
It's easy to feel the immense transformational capacity of Generative AI as a solution. And healthcare has no shortage of problems to solve. The real insight is in figuring out viable application areas and use cases. Things are becoming a bit clearer in that aspect...
Large Language Models (LLMs) like ChatGPT can handle two aspects of communication very well: plausibility and fluency. Given an input context they determine what are the most probable sequence of words and string them in a way that is superbly eloquent. That makes the...