Language Model "Shape" Most AI agents force the harness around a decoder-only Transformer. But what if we change the model’s input/output shape to fit the agent? This blog by @a1zhang suggests using recurrent memory for old history while dense attention handles recent context, reducing the need for manual compaction. Read more about it: https://alexzhang13.github.io/blog/2026/…