#llm-architecture

The latest AI and developer news about #llm-architecture, with the original source and a short summary.

Recent Trends in LLM Architecture: KV Sharing, mHC, and Compressed Attention

The latest open-weight LLMs have adopted KV cache compression and attention optimization techniques for long-context efficiency

·1·2026.05.23 09:00

Long-Running Agents - What Changes When Agents Run for Days

An analysis of the architecture and key challenges required when AI agents run autonomously for days beyond a single session.

·1·2026.05.04 15:00

Direct Performance Comparison of MoE vs Dense Models

This is a research paper that directly compares and analyzes the performance and efficiency of MoE and Dense architectures.

·2026.04.28 16:00

OpenMythos: Is It a Publicly-Researched Reconstruction of the Claude Mythos Architecture Hypothesis, or Just Another AI Hype

Using OpenMythos as a case study, this piece analyzes the 'sheepwave' phenomenon where architectures overheat without technical verification, and examines the actual implementation level.

·1·2026.04.25 02:00

Key Points of MoE (Mixture of Experts)

This explains in detail how the MoE architecture works, how it is trained, and the trade-offs during inference.

·1·2023.12.11 09:00