# 面壁智能推出 StudyBench 自进化基准

- 来源：OpenBMB (@OpenBMB)
- 发布时间：2026-09-11 23:01
- AIHOT 分数：33
- AIHOT 链接：https://aihot.news/items/cmtx3bkjg05y1roedjdz7xvc2
- 原文链接：https://x.com/OpenBMB/status/2098426628930191788

## AI 摘要

面壁智能联合清华 THUNLP 发布 StudyBench，一个受控物理基准，用于衡量自进化方法将固定教材语料转化为能力的效率，并区分方法"吸收了什么"与"能迁移什么"。该基准把自进化从开放追逐变成可测量目标，追问瓶颈究竟在数据、算力还是循环本身。论文与代码已公开。

## 正文

What if the ceiling on self-evolution is not the data or the compute, but the loop itself?

Introducing StudyBench: a controlled physics benchmark that measures how efficiently self-evolution converts a fixed corpus of textbooks into capability. It separates what a method absorbs from what it can transfer, turning an open chase into a measurable target — is the bottleneck the data, the compute, or the loop?
✨ Paper: https://arxiv.org/abs/2609.00787
💻 GitHub: https://github.com/thunlp/StudyBench