Ethan Mollick · @emollick · X·2026-07-03 01:01·61天前
AI 导读

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。

Ethan Mollick@emollick
52AI 编辑部评分,满分 100
2026-07-03 01:01· 61天前
AI 导读

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。

Continual learning is probably the biggest barrier to explosive AI adoption (& 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.

Epoch AIIntroducing 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...