What a stubborn training log taught me about measuring before tuning I learned this one the slow way: most “stuck” models were never moving in the first place. I spent days staring at a training log that refused to budge. Validation loss bouncing in a narrow band, accuracy wobbling literally around the same values, epoch […]
we love buzzwords in cybersecurity. every few months the industry discovers a new shiny acronym, slaps it on the same old product, and suddenly we’re all supposed to believe the world has changed. now the magic word is “AI.” everything is “AI-powered,” “AI-enhanced,” “AI-driven.” but when you look under the hood, most of these so‑called […]
Closing This Chapter As of now, almost end of 2025, I’m wrapping up this sequence‑modeling project. Not because it failed but because it achieved exactly what it was meant to: deep technical understanding. This was never intended for production. It was designed as a laboratory for learning the lowest layers of ML architecture. And it […]
Having conducted research in computer security since 1989, I have organically learned what research truly is and what I expect from it. To start with, perhaps it’s easier to say what is not considered research. These days, when people talk about research, they’re simply referring to Googling, or better yet, ChatGPT output. Neither is research. […]
Where Curiosity Meets Chaos These days my machine learning experimental project is deep in the trenches. I’m no longer chasing novelty, I’m chasing stability. Every run, every epoch, every tensor feels like a conversation with the machine that refuses to answer clearly. The RNN repeats itself. The dropout layers don’t help. The learning rate oscillates […]
Why I’m Beginning This Project Right now, in October 2024, I’m launching a research project built around a simple but provocative question: Can network behavior be modeled the same way we model language? Not as static events. Not as signatures. But as sequences with structure, grammar, and predictability. Network traffic has patterns. It has transitions. […]
First of all, I need to clarify something. Like many people, I use the term AI all the time. But what I’m really referring to is machine learning. Machines that learn. And the more I think about it, the more I believe machine learning belongs in the same category as operating systems, web browsers, and […]
Multiple reputable security solutions in the market that calls itself AI, including some I have personally used, is not even close to what I would consider an AI system. So I started asking a simple question: is there anyone actually checking these claims? The answer is not very encouraging. The term AI has become another […]