Why AI Stopped Reading and Started Seeing Everything

Logosofia no Dia a Dia · Mar 25, 2026 · 22m

Before 2017, artificial intelligence struggled with a "memory" problem, processing information one slow step at a time through a narrow straw. This episode explores the monumental shift triggered by the "Attention Is All You Need" paper, which introduced the Transformer architecture and retired an entire generation of models overnight. We break down the mechanics of self-attention, the transition from Recurrent Neural Networks to parallel processing, and why this specific technology became the universal engine for everything from ChatGPT to protein folding. Whether you are a casual listener…