Maggie Appleton 写设计、人类学和智能体界面时，习惯先画清楚隐喻，再谈工具。把「DeepSeek」整理成可阅读的中文笔记：问题在哪、界面默认会把人带去哪、落地时该改什么。原站导航、评论回响和广告已去掉。

问题怎么被看见

If you’re not distressingly embedded in the torrent of AI news on Twixxer like I reluctantly am, you might not know what DeepSeek is yet. Bless you.

You can use Ollama to run R1 on your own machine, but standard personal laptops won’t be able to handle the larger, more capable versions of the model (32B+). You’ll have to run the smaller 8B or 14B version, which will be slightly less capable. I have the 14B version running just fine on a Macbook Pro with an Apple M1 chip. Here’s a Reddit guide on getting it running locally. DeepSeek claims it only cost $5.5 million to train the model, compared to an est

默认界面在强化什么

🚀 DeepSeek-R1 is here! ⚡ Performance on par with OpenAI-o1 📖 Fully open-source model & technical report 🏆 MIT licensed: Distill & commercialize freely! 🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today! 🐋 1/n pic.twitter.com/7BlpWAPu6y

TLDR high-quality reasoning models are getting significantly cheaper and more open-source. This means companies like Google, OpenAI, and Anthropic won’t be able to maintain a monopoly on access to fast, cheap, good quality reasoning. This is net good for everyone.

可以怎么改

先写出默认交互会鼓励什么行为，再决定要不要用聊天框当万能入口。没有对照的界面改动，很容易只是换皮。

落到产品里的动作

先写出默认交互会鼓励什么行为，再决定要不要用聊天框当万能入口。没有对照的界面改动，很容易只是换皮。

值得单独记下的观察

• On January 20th, a Chinese company named DeepSeek released a new reasoning model called R1.
• R1 reaches equal or better performance on a number of major benchmarks compared to OpenAI’s o1 (our current state-of-the-art reasoning model) and Anthropic’s Claude Sonnet 3.5 but is significantly cheaper to use.
• DeepSeek R1 is open-source , meaning you can download it and run it on your own machine.
• You can use R1 online through the DeepSeek chat interface . You can turn on both reasoning and web search to inform your answers. Reasoning mode shows you the model “thinking out loud” before returning the final answer.
• DeepSeek claims it only cost $5.5 million to train the model, compared to an estimated $41-78 million for GPT-4. If true, building state-of-the-art models is no longer just a billionaires game.
• The thoughtbois of Twixxer are winding themselves into knots trying to theorise what this means for the U.S.-China AI arms race. A few people have referred to this as a “ sputnik moment .”

落地时建议先做的 5 件事

1. 先写清这个工具在强化思考还是在替人思考。
2. 默认交互不要只会谄媚：该追问、该给反例、该要求证据。
3. 智能体界面要露出推理步骤，而不是只给一个光滑答案。
4. 知识发布用可生长的笔记，而不是一次性营销长文。
5. 改产品前先画隐喻：用户以为自己在做什么，系统实际在做什么。

和智能体产品怎么接

龙虾PRO做 OpenClaw 落地时，最该从这类笔记里拿走的是「别把聊天框当唯一界面」。数字员工要能追问、能验证、能把过程摊开，而不是只负责说好话。

本文侧重全链路风控方法论。落地时请用自身业务单据做回放验证，不要把示例阈值直接当生产策略。 相关：风控体检 · 方案资源