What If a Transformer Never Had to Forget? Meet the Recurrent Looped Transformer (RLT)
This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.
You ask a language model a one-line question — it processes it through 48 layers. You paste a 10,000-word document — it still processes it through 48 layers. Same depth. Same ceiling. Every single time. That's the structural limit of every decoder-only Transformer in production today. A technical r…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-09-15 18:34 · DEV Community — Machine Learning
What If a Transformer Never Had to Forget? Meet the Recurrent Looped Transformer (RLT)