Google Just Dropped Transformer 2.0: Meet "Nested Learning"

Google's new "Nested Learning" approach treats AI architecture and learning processes as unified optimization loops running at different speeds, similar to how the human brain updates memories at multiple timescales. Their experimental "Hope" model uses this framework to create self-modifying AI that can learn continuously without forgetting previous knowledge, significantly outperforming traditional transformers on complex reasoning tasks.