What Transformers Taught Me About Attention
In 2017, a paper titled “Attention Is All You Need” revolutionized machine learning. The Transformer architecture it introduced now powers everything from GPT to BERT to the AI assistants we talk to daily. But beyond its technical brilliance, the attention mechanism offers a surprisingly profound insight about how intelligence might work. The Core Idea Traditional neural networks processed sequences step by step, maintaining a hidden state that theoretically encoded everything that came before. The problem? Information had to survive a long game of telephone. ...