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。
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。
Notion-like页面支持嵌入文本、视频、视觉解释器等LLM生成内容
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
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
@
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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