CoT vs Layer Looping: How Information is Actually Passed
inductionheads · x · 2026-08-03
Developer @Grad62304977 breaks down the core architectural differences between Chain-of-Thought (CoT) and layer looping.
He points out that the distinction lies in how information is propagated: layer looping passes information entirely within the final hidden state. In contrast, CoT passes information through the KV cache of each layer (e.g., across 70 layers) and routes it through attention mechanisms rather than a residual connection.
More from Research
- Simplex Diffusion Models paper talk by EPFL/DeepMind's Justin Deschenaux on Oct 19 — ArnaudDoucet1 · 2026-10-16
- Meituan LongCat team's Data World synthesizes data environments to train data agents — meituan-longcat · 2026-10-16
- FDE-Gym benchmark shows huge gap on real AI delivery tasks: top model scores 0.563 — DeepLethe · 2026-10-16
- ForcingBooster halves computation of autoregressive video diffusion with patch-wise denoising — VAST-AI · 2026-10-16
- Baidu open-sources FlashMask: up to 1.55x faster than FlashAttention-4 for long-context training — BaiduResearch · 2026-10-16
- SemEval-2027 Task 9 opens: multimodal news framing analysis across 4 languages — preslav_nakov · 2026-10-16