Forgive me if I am using this term AI as excessively as everyone else. I have said this before and I am going to repeat it here: most of the AI stuff that people and the industry are talking about is nothing more than a machine learning model, nothing more than a machine, a computer, […]
6000 years ago, in the shadow of Egypt’s pyramids, a overseer with a whip ensured laborers toiled under the sun. Today, the whip has been replaced by KPIs, bonuses, and performance reviews. Yet the logic remains unchanged: management, as we know it, is less about guiding teams and more about transmitting threat. The overseer of […]
When we talk about artificial intelligence, what are we really trying to accomplish? Do we want another tool for convenience or a means to address some of humanity’s most pressing problems? Injustice, disease, hunger, lack of clean energy, lack of access to proper healthcare… These are the problems that matter, AI should be serving as […]
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 […]
There is a Persian proverb that fits here perfectly: “Every walnut is round, but not every round thing is a walnut.” «هر گردویی گرد است، اما هر گردی گردو نیست» Two things can look the same from the outside and be completely different inside. Job titles work exactly like that. Someone’s title does not define […]