M D.

📕小红书电商运营，不懂代码。
日常分享AI使用，探索AI生产力。

[M D. @Terminatorload]

用完美的态度去完成

[M D. @Terminatorload]

美国🚗能飞！

[Elon Musk @elonmusk]

Turns out the future does have flying cars

[Garry Tan @garrytan]

Boil the Oceans

You know the phrase: “don’t boil the ocean.” Everyone’s said it in some overly ambitious meeting. It’s good advice in normal times. It keeps teams focused. It prevents scope creep. But we are no longer in normal times, and I think it’s time to retire saying it.

Artificial Superintelligence means it’s time to boil the ocean. We’ll start with a few lakes first.

I was recently with a university endowment’s head of private investing who told me their engineers were terrified for their jobs after seeing what Claude Code could do. And I get it — that’s the natural first reaction. But it’s the wrong one. It’s a zero-sum reaction to a positive-sum moment.

Instead of worrying about doing the same thing we’ve been doing for cheaper, why not focus on doing the thing we never even dreamed of doing? Why can’t that endowment achieve 50% net IRR instead of 10%? Why can’t a startup deliver a service that is 100x better than the incumbent? Why can’t we have fusion energy? Why can’t we talk to every single user and have a perfect understanding of every bug in our product?

These aren’t rhetorical questions anymore. They’re engineering problems with paths to solutions.

Here is what I think is actually going on with the fear: our fear of the future is directly proportional to how small our ambitions are. If your plan is to keep doing exactly what you’re doing, then yes, a machine that can do it faster and cheaper is terrifying. But if your plan is to do something dramatically bigger, then the machine is the best news you’ve ever gotten.

If you’re a worker — someone who trades labor for a living — this is the moment to become a builder. Start a business. And if you’re already management or capital, it’s time to go 10x more hardcore on what your aspirations could be. Not eking out 5% efficiency gains. Not increasing profit margins 2% by lowering cost and firing people. Those are the old games. The new question is: what would it look like to build a product or service so good that people would happily pay 10x what they pay now?

The net result of this is more jobs, not fewer. As Ryan Petersen likes to say, the human desire for more things is absolutely limitless. We can actually fulfill that desire now — if we have the agency to prompt it for ourselves.

Buckminster Fuller coined the term “ephemeralization” in 1938: doing more and more with less and less until eventually you can do everything with nothing. His entire vision of progress was about technology enabling radical expansion of human capability through dematerialization. He traced this from stone bridges to iron trusses to steel cables — each iteration stronger, longer, lighter, cheaper. He wasn’t describing job destruction. He was describing civilization getting better at being civilization.

This is Jevons Paradox for everything. When you make a resource dramatically more efficient, you don’t use less of it — you use vastly more. Steam engines didn’t reduce coal consumption. They made coal so useful that demand exploded. The same thing is about to happen with intelligence, with labor, with every service and product we can imagine.

But Jevons Paradox doesn’t activate on its own. It requires capital and management to actually raise their ambitions — to boil lakes and oceans instead of drowning them in committee

That’s what startups have always been good at: moving fast in the face of radical uncertainty, building for the 10x future while everyone else is optimizing for the 1.05x present.

Time to start.

[M D. @Terminatorload]

@MarisZero 主要是打算把品和笔记连起来。当然选品，店铺数据一起做最好了。我现在就是分析店铺数据，根据品还有竞品去做笔记。

[M D. @Terminatorload]

不知道X上有没有做小红书电商运营的朋友，想看看大家的AI 工作流是怎么样的🤔

[M D. @Terminatorload]

之前是一直高频使用 Claude的CoWork的。被封了快七八个号🙂‍↔️之后，想用也用不了了。昨天弄了个Notion会员，试试在Notion里面用

[M D. @Terminatorload]

最近在高频使用的AI：

Grok bot

GPT 6 Astra

muse

发现Grok bot 意外的好用。充值也非常方便，没那么多幺蛾子事。额度也是量大管饱啊，最主要的是，他真的是有智能的，模型能力，个人代理能力我觉得是比muse强的。还能用他的云电脑登录小红书帮我看竞品帖子。比Grok好用多了哈哈哈

[M D. @Terminatorload]

对视频还有文字的分析，Gemini应该是现在最厉害的，尤其是视频。GPT，Claude都要耗费大量token，而Gemini非常迅速就能分析，给出的带货文案也没那么大AI味。只要稍加调整一般都能符合预期。

推荐有文字工作的朋友可以开个Gemini Pro

[M D. @Terminatorload]

@chuang340965 @mylifcc 还真是，成了。不过我点第一次不行，再点一次就可以了

[lauren @poteto]

@wasmir_ye “restate my goals in your own words”

[M D. @Terminatorload]

@tonyyao81 @chmvy6dl @xiaoduoya_ 对，全是Claude订阅🙂‍↔️

[M D. @Terminatorload]

@tonyyao81 @chmvy6dl @xiaoduoya_ 最早六七月份的时候还给退，但现在不给退了。当时直接在小文本框写理由就能退。现在联系客服也不给退

[M D. @Terminatorload]

@tonyyao81 @chmvy6dl @xiaoduoya_

[M D. @Terminatorload]

@tonyyao81 @chmvy6dl @xiaoduoya_ 最早六七月份的时候还给退，但现在不给退了。当时直接在小文本框写理由就能退。现在联系客服也不给退

[M D. @Terminatorload]

@chmvy6dl @xiaoduoya_ @tonyyao81 我就是苹果订阅，现在已经不给退款了

[M D. @Terminatorload]

@Flyfish233 @Shiyuan32819376 @ScarletKc 我已经被Claude快吞了300（9.30刚订阅的Pro不到24小时就封了）。还有我发现注册Claude不订阅不会被封，可是一旦订阅马上封😅。换苹果号真可以么，我打算再试试🤦

[M D. @Terminatorload]

值得认真看

[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.

[M D. @Terminatorload]

@Shiyuan32819376 @ScarletKc 礼品卡也封现在，我已经被封了两个号。而且苹果也不肯退款了

[M D. @Terminatorload]

@nicekate8888 确实挺好的

[하 @AiHHHAi]

انت و أول مدير وظفك بدون خبرة

[M D. @Terminatorload]

这样看真的不像是AI生成的了，太牛逼了。感觉AGI的到来越来越快了！

[Anime Girl Worshiper @TobynJacobs]

I don’t think anyone dumb for thinking it’s not real but I want to clear that I’m not deceiving people, with editing or anything. It’s just genuinely ai agents have gotten so good at like modding that like the result seems fake but it’s real.