AnalysisOpinion / analysisLarge Language Models · Efficiency & Inference1 source · Oct 10, 2026

I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)[P]

ALHR- Adaptive learnable Hierarchical Routing is a static binary tree based system that uses learnable functions to REDUCE the amount of keys used.

Proof1 community thread

Key points

  • It takes less memory and SCALES much better VRAM with tokens

Sources (1)

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 10, 2026Is anyone running Qwen3.8 Flash Next with a 1M context?
  2. Oct 9, 2026Microsoft's Decision-1 model enters the fast-growing AI decision model race
  3. Oct 8, 2026[AINews] not much happened today
  4. Oct 8, 2026REMORY: Learning Residual Memory for Context Compaction
  5. Oct 7, 2026Dual-QK: Sharp Queries and Flat Keys for Prunable 2-bit KV Caches
  6. Oct 7, 2026Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context Pollution

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