大模型后训练面临环境数据短缺，业界呼吁共建开源任务公地

1. 23:21
   Buzzing HN · 中文精选Selected

   Why LLM Post-Training Lacks Ready-Made Data Commons

   Because LLM post-training consumes structured tasks paired with executable environments rather than static documents, it cannot directly leverage the internet's existing knowledge commons, leading to a severe data shortage. Taking software engineering as an example, even when building verifiable SWE-bench-style tasks from open-source code repositories, the qualification and execution rates remain extremely low—and turning real-world workflows from other industries into executable tasks is even harder. The author calls on the open-source community to systematically build public post-training environments and task commons to prevent frontier agent training capabilities from being monopolized by a handful of closed-source tech giants.

Current heat 8·Comparable peak 10（Nov 5 00:00）·Comparable change, last 24 hours–

Trends compare only the same parties observed continuously, so the scope can be narrower than current heat counts. Move the pointer or tap the chart to see hourly heat; use the left and right arrow keys on a keyboard.