# 持续学习是AI最大障碍，EBR-bench无改进

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-07-03 01:01
- AIHOT 分数：52
- AIHOT 链接：https://aihot.virxact.com/items/cmr3r8lqc0193sl7l62mugqt1
- 原文链接：https://x.com/emollick/status/2072727258352001341

## AI 摘要

Ethan Mollick指出，持续学习是AI爆炸式采用的最大障碍，并对递归自我改进有重大影响。只要模型健忘、需人类替其学习，采用速度就受限于人类流程。EpochAI Research为此推出EBR-bench，通过让AI反复玩Earthborne Rangers棋盘游戏来测试其即时学习能力。初步结果显示：AI未能从错误中改进，至今无提升迹象。

## 正文

Continual learning is probably the biggest barrier to explosive AI adoption （&amp； may have big implications for recursive self-improvement as well）

As long as you deal with amnesiac models that require humans to do the learning for them， adoption will be gated by human processes.

### 引用推文

> Epoch AI：Introducing EBR-bench, our new benchmark to measure on-the-fly learning. AI repeatedly plays a challenging board game called Earthborne Rangers and tries to lea...