Latent.Space(@latentspacepod)
[AINews] Loopcraft: The Art of Stacking Loops @RichardSSutton has his “Bitter Lesson” for models. W...
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@RichardSSutton has his “Bitter Lesson” for models. W...](/api/img-proxy?url=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHKlx7NOawAAwEqI.jpg)
TL;DR · AI 摘要
文章强调了在设计智能代理系统时，应避免直接干预，转而构建可扩展的系统架构。
核心要点
- 设计智能代理系统时应避免直接干预，转而构建可扩展的系统架构。
- 应关注基于目标的系统设计，而非单个代理的修复。
- 代理系统应通过循环机制进行协作，而非依赖单一代理解决问题。
结构提纲
按章节快速跳转。
- §引言
文章提出在设计智能代理系统时，应避免直接干预，转而构建可扩展的系统架构。
Richard Sutton 提出模型设计应避免过度干预，转而关注系统层面的扩展性。
代理系统应通过目标驱动和循环机制进行协作，而非依赖单个代理解决问题。
文章建议通过设计可扩展的系统架构，提升代理系统的协作效率和可维护性。
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- Loopcraft: The Art of Stacking Loops
- Bitter Lesson for Models
- Avoid direct intervention in model design
- Focus on system scalability
- Salty Lesson for Agents
- Avoid fixing problems individually
- Design systems with goals and loops
金句 / Highlights
值得收藏与分享的关键句。
Don’t fix things yourself, as you have done historically. Instead focus on systems that scale with more agents, like goals and
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.
We now have the Salty Lesson for agents: Don’t fix things yourself, as you have done historically.
#AI#系统设计#代理#架构
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@latentspacepod
[AINews] Loopcraft: The Art of Stacking Loops
@
RichardSSutton
has his “Bitter Lesson” for models. We now have the Salty Lesson for agents: Don’t fix things yourself, as you have done historically. Instead focus on systems that scale with more agents, like goals and
today's op-ed:
latent.space/p/ainews-loopc…
@steipete
Jun 7
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.
5:36 AM · Jun 12, 2026
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