Note: I had stopped writing posts in 2017. Started again in late-2024, mostly for AI.
I first heard Ethan Mollick on The Ezra Klein Show in April 2024 (“How Should I Be Using A.I. Right Now?”). He offered sensible, practical ways to use AI without the hype. Shortly after, I read Co-Intelligence and have followed his writing and talks since. In a recent interview with Sana Labs founder and CEO Joel Hellermark, Mollick argued that the traditional apprenticeship path is shifting in...
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 There is no doubt this has been a real productivity boost. It does not feel like the old dictation tools because the AI cleans up...
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 solution. The result? A fragile but functional AI-native assistant I called Munshi (Hindi for secretary, pronounced moon-she). You can...
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. If you’ve ever wondered how to tackle a complicated subject and organize a large body of information, read on—I think you’ll find...
The first 10 minutes of this Stanford CS224N lecture explained NLU, NLG and the tasks within and it was helpful. Natural Language Understanding (NLU) is a subset of NLP (processing), which uses syntactic and semantic analysis of text and speech to determine the meaning of a sentence. Natural Language Generation (NLG) is another subset of NLP focusing on the process of producing a human language...
I recently heard Jeff Bezos briefly talk about his views on LLMs here. Less than a minute into the conversation, he said something that struck a chord with me: LLMs in their current form are not inventions, they are discoveries. He followed that up with "we are constantly surprised by their capabilities and they are not really engineered objects". That quote resonated because that we-don't-know...