Karpathy谈AI时代人类新工作

Karpathy 久违发帖：AI 替你干活之后，你的新工作是"读懂"它 LLM 承担的执行工作越来越多，人的工作会转向监督和理解。这样一来，瓶颈不再是"产出"，是"人能不能高效地读懂产出"。Karp...

Karpathy 久违发帖：AI 替你干活之后，你的新工作是"读懂"它 LLM 承担的执行工作越来越多，人的工作会转向监督和理解。这样一来，瓶颈不再是"产出"，是"人能不能高效地读懂产出"。Karpathy 的建议是：主动指定输出形式，让模型把内容做成最容易理解的样子。 他给出了四级递进的输出形式 每升一级，信息密度和理解效率都更高，生成成本也更高： 1. 受控语言写作（ASD-STE100） 解决：文字冗长、含糊 2. 图示 解决：线性文字难以表达结构与关系 3. HTML 网页 解决：静态内容无法交互、探索 4. 定制讲解视频 解决：复杂概念需要时间维度上的引导，也是 Karpathy 最看好的形式 这也带来了两个思考： 1. 人的角色上移。 执行交给模型，人负责监督、判断和理解。所以"理解效率"会成为新的关键能力，值得专门优化。 2. 一次性软件的经济性。 智能和代码变得充裕，生成成本趋近于零。过去为一个问题专门做网页或视频不划算，现在可以按需生成、用完即弃。这改变了"什么值得做"的成本判断。 Andrej Karpathy @karpathy 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 aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised. 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 39 ⚡