Before transformers, RNNs read text sequentially, word by word. A word at the start of a long sentence barely influenced the end — the signal faded. Attention changed this: each token looks at all other tokens in parallel and decides how important each one is. Parallel, not sequential. That is what let transformers scale to billions of parameters.