elvis(@omarsar0)

50K likes on this!? Most of what Karpthy has shared is things we have been doing for over a year. ...

7.5内容质量
50K likes on this!?

Most of what Karpthy has shared is things we have been doing for over a year. 
...

TL;DR · AI 摘要

探索AI代理与人类协作的通用接口设计,通过Notion-like页面整合LLM生成内容,但缺乏系统性技术方案。

核心要点

  • Notion-like页面可嵌入LLM生成的多模态内容提升协作效率
  • Artifacts工具已获得50K用户验证其价值
  • 当前最优方案仍需人工干预接口构建

结构提纲

按章节快速跳转。

  1. 讨论AI代理与人类协作的通用接口设计必要性

  2. 使用Notion-like页面整合LLM生成的多模态内容

  3. 动态构建接口功能仍需人工干预

  4. Artifacts工具验证了多模态协作的价值

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)
  • 通用接口探索
    • 实践工具
      • Notion-like页面
      • Artifacts
    • 技术挑战
      • 动态构建需求
      • 人工干预
    • 观察趋势
      • 多模态协作验证

金句 / Highlights

值得收藏与分享的关键句。

#AI协作#Notion#LLM#Artifacts
打开原文

elvis on X: "50K likes on this!? Most of what Karpthy has shared is things we have been doing for over a year. No surprises, as many replies are highlighting. But I still think this raises an interesting discussion. Is there a universal interface/langauge that allows more seamless communicati… / X

elvis

@omarsar0

50K likes on this!? Most of what Karpthy has shared is things we have been doing for over a year. No surprises, as many replies are highlighting. But I still think this raises an interesting discussion. Is there a universal interface/langauge that allows more seamless communication between agents and humans? I believe there is. And I think that is what

@

karpathy

is suggesting we think about. Right now, ideas are all scattered. As some of you know, I have been early on LLM Wikis, Artifacts, AI-generated visual explainers, dynamic interactives, etc. Over the past couple of months, I have been experimenting with a new universal interface for seamless human-agent collaboration. So I have a lot to share, but it's still too early, and I frankly haven't found the perfect solution. In short, my current optimal setup (see a simple snapshot attached) ties my high-level agent to highly flexible Notion-like pages that support embedding artifacts, text, videos, visual explainers, and just about anything an LLM can generate. And if it doesn't support it yet, I ask it to build it on the fly. It's crazy sometimes, the features it builds, but this is a co-evolved interface that satisfies both my agent's and my needs. The interface supports code review, note-taking, writing, research, prototyping, mock designing, and so on. In fact, I have now wired my agents to intelligently spit out these artifacts (for lack of a better word), depending on the task/instruction, instead of the default text responses, which are frankly overwhelming and hard to read at times. In other words, as I keep building this "universal interface," it feels less and less like I am chatting with an agent; I'm collaborating with it directly through the artifacts (through comments and suggestions). It allows me to move faster. I can consume and review faster. I am better organized. It feels like a language both the agent and I can speak fluently, so there is very little friction. Listen, this is all a personal experience. I don't think everyone will use interfaces like this. But it's been interesting to see Artifacts gain wide adoption, and now dots have Spaces that look a little like what I built here several months ago. More to share soon.

Andrej Karpathy

@karpathy

Oct 2

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for

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5:40 PM · Oct 4, 2026

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