Hybrid Architecture

IBM Granite

IBM Granite 4: Efficient Hybrid Mamba-2 Architecture to Reduce AI Costs

IBM Granite 4.0: Hyper-Efficient, High-Performance Small Language Models IBM recently announced the Granite 4.0 family, a lineup of small language models designed for: * Faster performance * Significantly lower operational costs * Competitive accuracy compared to larger models A key innovation is Granite’s hybrid Mamba/Transformer architecture, which dramatically reduces

MCP

Code Execution with MCP: Building More Efficient AI Agents

Code Execution with MCP: Building More Efficient Agents Original article by Anthropic (via X) When I wrote about Claude Skills, I mentioned that I no longer rely on MCP for coding agents. Instead, I prefer CLI utilities and libraries like Playwright Python for more flexible, effective workflows. Anthropic’s new

linear attention

Linear Attention Regression! Kimi's New Model Explodes, While MiniMax Quietly Switches Back to Traditional Architecture

2025‑11‑01 23:49 — Jiangsu --- Overview In the LLM (Large Language Model) domain, linear attention mechanisms are making a notable comeback. This resurgence is largely led by domestic models, driven not only by limited computational resources, but also by a long‑term target—making AI agents more reliable