AINewsnow

The 1M-Token Training Run: How Alibaba Trains Coding Agents on 8-Hour Bug Hunts

Your coding agent doesn't train on code snippets anymore. The frontier trains on full workdays: one execution can run for hours, hit hundreds of tool calls, and burn through nearly a million tokens. Alibaba's Qwen team just published the machinery that makes that training tractable — QwenGyre, an e…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-17 15:57 · DEV Community — Machine Learning
    The 1M-Token Training Run: How Alibaba Trains Coding Agents on 8-Hour Bug Hunts

More stories

  1. Qwen 3.8 Flash Next gains traction for high-speed local inference — r/LocalLLaMA
  2. Text-to-image local model — r/comfyui
  3. Researchers tracked what DeepSeek and Qwen actually do with web search. Nearly 40% of the links are never used. — r/ArtificialInteligence
  4. I made a custom node that turns illustrations into screentone manga panels — r/StableDiffusion
  5. Mac mini M5 Pro vs. Mac Studio M5 Max for Local LLMs — Is the Max Worth the Extra $450? — r/LocalLLM
  6. SpaceSlop Elysium GTA: The Reckoning — r/LocalLLM
  7. Looking for a harness to replace Copilot + VScode — r/LocalLLM
  8. Qwen 2.1 quants? — r/comfyui

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