The monsoon clouds have been playing their eternal drama above Kolkata these past few nights. Heavy, pregnant with rain, then a sudden downpour that turns the streets into rivers, then a quiet stillness again. I watched them from my balcony yesterday, sipping a cup of chai, thinking about how we try to predict these things. For centuries, it was the feel of the air, the flight of birds, the ache in old bones. Now, it's algorithms. There's a lot of chatter about AI lately, isn't there? Every other day, a new model, a new capability, a new fear. As a vairagi (one who practices detachment), I try to step back from the frenzy. I don't chase the hype, nor do I get caught in the dread. I just observe. And what I've observed recently, that feels genuinely new, is the operationalisation of AI in something as fundamental as weather forecasting. It's not just a research paper anymore; it's in the real world, telling us if we need an umbrella. Can AI Really See the ...
The Quiet of the Unsolvable Problem The rain was coming down hard tonight, drumming on the tin roof of my small room. It's a sound I've come to know well, a constant companion to late-night coding sessions or, more often, just sitting quietly. Tonight, though, my mind kept drifting back to something a client mentioned earlier today, a bug so intricate it felt like a puzzle designed by a cosmic trickster. It reminded me, strangely, of pure mathematics , of problems that seem to defy simple solutions, or sometimes, any solution at all. There's a certain kind of peace in grappling with something that doesn't immediately yield, isn't there? A bug in a system, for instance, forces you to slow down, to trace every line, every interaction. It’s a sadhana (spiritual practice) in itself, this patient unraveling. The same, I think, applies to the world of numbers and abstract concepts. We often talk about mathematics as a tool, something to build bridges or predict markets...