Skip to content
IFAI

GLM-5

Product2 stories

  1. Open sourceReach 48

    Harness²: Boost AI agent skills without touching model weights

    Google Research just open-sourced Harness², a framework that recursively tunes eight agent harness components—such as prompts, tools, and subagents—without altering model weights. In benchmark tests, a single step improved models like Gemini 3.5 Flash and GLM-5 by up to 11.5 points.

  2. AI modelsReach 48

    Z.ai launches GLM-5 to turn Vibe Coding into agentic engineering

    Z.ai just launched GLM-5, scaling to 744B parameters (40B active) on a 28.5T-token corpus for complex systems engineering and long-horizon tasks. It incorporates DeepSeek Sparse Attention to cut serving costs and introduces an asynchronous RL framework called slime. The goal is to move beyond superficial vibe coding into persistent agentic workflows.