The Tetris effect has always struck me as one of those psychological phenomena that's both obvious and unsettling once you experience it. Spend enough time with that falling-block game, and suddenly you're seeing those shapes everywhere — in your peripheral vision when you're not even playing, in the arrangement of groceries at the checkout line. It's a simple demonstration of how our brains rewire themselves around whatever we focus on for long enough. Transformers didn't just revolutionize NLP the way the Tetris effect rewired my pattern recognition. But unlike a game that fades from your thoughts after a few weeks, the architectural shift toward attention-based sequence modeling has been reshaping how we think about far more than just language processing. We're seeing attention mechanisms creep into protein folding, protein design, and even the way we approach algorithmic fairness in machine learning systems. What's genuinely surprising about thi...