AINewsnow

Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

Google Research released Harness2, an Apache-2.0 framework that rewrites an agent's harness at test time. One refinement step lifted GLM-5 by 11.5 points on WorkBuddy-Bench with no weight updates. The post Google Open-Sources Harness2, a Recursive Agent Harnessing Framework appeared first on MarkTe…

Read the full story at MarkTechPost ↗

Timeline · 2 reports

  1. 2026-10-18 08:25 · r/machinelearningnews
    Google open-sources Harness²: agents that rewrite their own harness on unseen tasks, with frozen weights and no labels
  2. 2026-10-18 08:15 · MarkTechPost
    Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

More stories

  1. Follow-up: Tested my 9 thinking rules on long-horizon agent tasks (Terminal-Bench 2.0) — r/PromptEngineering
  2. Shanghai AI Laboratory Releases Atria Dawn Full Version With a 512K Context Window — Pandaily
  3. Which locally run vision model would you put in a robot fighting arena? GLM-5.3-Flash still needs some practice. — r/LocalLLM
  4. Update-Aware Reasoning in GLM-5.3: Training & Alignment Faking — r/singularity
  5. Anthropic offers Blackstone double-digit yield in $60B chip financing deal — Financial Times AI
  6. Gemini 4 Argon rollout draws criticism over usage limits despite benchmark gains — r/singularity
  7. Google Research details building blocks for autonomous wet labs — Google Research Blog
  8. AWS, Anthropic Deploy Specialized Engineers to Prove AI ROI — CNBC Technology

Get the daily brief of stories like this at 6:30 every morning →