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November 7, 2026

D3D · plus 1 more pick

D3D drafts tokens in parallel without needing target model hidden states, achieving up to 5–7× decoding speedup.͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ 
  
  
AI Papers DailySat, 7 Nov

1,521 new papers read. 2 worth your time.

Top pick  ·  Efficient AI & Edge

D3D: Decoupled Diffusion Drafting for Asynchronous Speculative Decoding

D3D drafts tokens in parallel without needing target model hidden states, achieving up to 5–7× decoding speedup.

Why it matters: Builders can generate text much faster without extra target model passes, reducing latency for large language models.

Read the breakdown →  Code

Trending  ·  Other ML

Halley: A Predictive Control Plane for Optical AI Data Center Networks

Halley predicts and prevents optical network component failures, boosting AI training goodput.

Why it matters: Increases AI training efficiency and reduces required data‑center capacity.

Read the breakdown →

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