Langford Explores Information Dropping in Transformer Architectures
John Langford argues that gradient descent implicitly constrains Transformer design: standard models discard information after early layers, while Full Bandwidth Transformers retain relevant information in final layers. Discarding transient computation states may also act as a self-correction mechanism.
2026-09-06 ~ 2026-09-06 · 3 related posts
- Discarding transient computation may give transformers self-correction, argues hive_echo — hive_echo · 2026-09-06
- Langford argues gradient descent pushes transformers to discard deep-layer information — JohnCLangford · 2026-09-06
- Full Bandwidth Transformer could preserve information in final layers, says Langford — JohnCLangford · 2026-09-06