Editor’s Brief
A provocative critique of the modern professional landscape, arguing that as AI tools like OpenClaw automate the majority of white-collar tasks, the true competitive advantage has shifted from labor output to cognitive sovereignty. The author posits that "internal friction" is a physiological result of decision fatigue, and that reclaiming one's attention from algorithms and "student-mindset" dependencies is the only way to survive the current technological shift.
Key Takeaways
- The "OpenClaw" benchmark proves that 80% of standard white-collar tasks—coding, design, and data processing—can now be done faster and cheaper by automation than by humans.
- Modern exhaustion is often "decision fatigue" caused by micro-interactions with digital noise, which physically wears down the prefrontal cortex and destroys the capacity for deep work.
- The "student mindset" is a dangerous trap where individuals cede their decision-making power to bosses, influencers, or algorithms, leading to a cycle of passive consumption.
- High-priced "AI masterclasses" are frequently just repackaged versions of free official documentation; the willingness to pay for them is often an attempt to buy the "feeling" of progress without the effort of primary-source learning.
- In an era of infinite synthetic content, the only non-replicable value is the human "flow state"—the deep, focused immersion in a task that AI can mimic in output but never experience.
Introduction
Faced with the reality of OpenClaw topping GitHub, Jackywine’s tweet has shattered the facade of professionalism among office workers. As AI can now perform 80% of white-collar tasks at a low cost, the human pride in “stability” is becoming increasingly hollow. This article not only discusses the career crisis but also delves into how information overload depletes the prefrontal cortex through minor decisions, leading modern individuals to fall into a logic of “ineffective self-exhaustion.”
Key Takeaways
- AI tools have already demonstrated superior efficiency in areas such as coding and design, surpassing that of average white-collar workers. Office professionals need to reassess the remaining 20% core value that cannot be replaced.
- The fatigue experienced by modern individuals often stems from “decision fatigue.” Countless minor clicks and choices are burning out the prefrontal cortex, causing the scarce resource of attention to be wasted unnecessarily.
- The essence of a “student mindset” is the delegation of decision-making power. Whether relying on bosses or algorithms, this habit of “waiting to be fed” can gradually erode one’s ability to make independent judgments.
Editor’s Note
Don’t mistake this for a sensational piece that stokes anxiety. The author’s physiological explanation of “self-exhaustion” is intriguing, reminding us that in the era of algorithmic feeding, protecting our attention is more important than acquiring information. If you are still looking for a “standard answer” or a “hand-holding tutorial,” it is itself a sign of cognitive regression. At this juncture, clarity is more valuable than diligence.
Editor’s Comment
The article titled “X Import: Jackywine – Your Attention is the Most Valuable Thing in This Era” comes from the X social platform, authored by Jackywine. From a content completeness perspective, the original text provides a high density of key information, particularly strong in its core conclusions and actionable recommendations. This week, I posted a tweet saying that crayfish have secured the top spot for the most stars on GitHub. Then I added: when you look at the daily 9-to-5 office work of white-collar employees who clock in at tech parks, it seems even more absurd. The comments section exploded. Some said I was spreading anxiety, others said someone finally spoke their mind, and some asked me: what should I do? I didn’t reply to this question in the comments because the answer is too long for a tweet. Today, I’ll try to explain it clearly.
Ninety-nine point nine percent of people don’t perform as well as crayfish… For readers, the most direct value of this article isn’t just “learning a new perspective,” but being able to quickly see the conditions, boundaries, and potential costs behind that perspective. If we break down the content into verifiable statements, it includes at least the following points: This week, I posted a tweet saying that crayfish have secured the top spot for the most stars on GitHub; then I added: when you look at the daily 9-to-5 office work of white-collar employees who clock in at tech parks, it seems even more absurd. Among these statements, the conclusions are often the easiest to spread, but what truly determines their practicality is whether the underlying assumptions hold, if the sample size is sufficient, and if the time frame matches.
We recommend that readers verify data sources, publication dates, and any platform-specific differences when referencing such information, to avoid mistaking “contextual experience” for “universal rules.” From an industry impact perspective, this type of content often has a short-term guiding effect on product strategies, operational rhythms, and resource allocation, especially in themes like AI, development tools, growth, and monetization. As editors, we are more concerned with whether it can withstand subsequent factual tests: 1) Can the results be replicated? 2) Is the method transferable? 3) Are the costs bearable?
The source is x.com, and we suggest readers use this as one of several inputs for decision-making, not the sole basis. Finally, here’s a practical suggestion: if you plan to act on this, start with a small-scale test and gradually increase your investment based on feedback. If the original text involves gains, policies, compliance, or platform rules, refer to the latest official announcements and have a rollback plan in place. The purpose of re-posting is to improve information circulation efficiency, but the true value of content lies in secondary judgment and localized practice. Based on this principle, our accompanying editorial comments will continuously emphasize verifiability, boundary awareness, and risk control, helping you transform “information seen” into “actionable knowledge.”
This week, I posted a tweet saying that the little crayfish has secured the top spot for the most stars on GitHub.
Then I added: “The more you look at the daily 9-to-5 routine of white-collar workers who clock in and out of office parks, the more absurd it seems.”
The comments section exploded.
Some said I was spreading anxiety, others said they were glad someone finally spoke up, and still others asked me: “What should I do?”
I didn’t reply to that question in the comments because the answer is too long for a single tweet. Today, I’ll try to explain it clearly.
Ninety-nine point nine percent of people can’t perform as well as a crayfish.
First, let’s state a fact:
The crayfish—also known as OpenClaw—what can it do now? Write code, design, run data analysis, generate documents, handle customer service tickets… Basically, any white-collar job you can think of, it can do, and it does so quickly, cheaply, and without the need for social insurance.
At the time, I asked a question on Twitter: What is the meaning of human work? What is the meaning of human work? What is the meaning of human work?
I repeated it three times.
Is it to make money? If you can’t earn enough, you’re not performing as well as a crayfish.
Is it for a sense of purpose? Honestly, most people’s jobs don’t offer much in terms of purpose; they only provide a precarious promise.
Humans are complex creatures. For the sake of some illusory stability, we are willing to dedicate over 70% of our lives to something called “work.”
But this thing called work doesn’t make any promises to you.
I’m not saying these things to make you anxious.
I just want you to seriously consider one question: If AI can replace 80% of your job, what is the remaining 20%?
### Your Brain Is Gradually Being Burned Out
This week, I also shared an image about “internal consumption.”
Many people think internal consumption is a psychological issue, that it’s just overthinking or a lack of resilience.
Wrong.
The essence of internal consumption is damage to the prefrontal cortex—because you make too many decisions every day.
Think about your daily life: In the morning, you check your phone and see dozens of notifications. Should you open them? What should you have for lunch? Should you modify that requirement in the afternoon? Should you buy an AI course you saw online at night? Before bed, you come across another “mind-blowing” article on a public account…
Every “should I” is a decision.
—
This translation aims to maintain the original meaning and tone while ensuring it reads naturally in English.
Every decision you make consumes your prefrontal cortex.
You think you’re “learning,” but in reality, you’re burning CPU.
This is why many people end up exhausted at the end of the day despite getting nothing done—your brain has been worn down by countless tiny decisions.
In the age of information overload, the most scarce resource is never information.
It’s your attention.
### Ten Typical Student Mindsets
This week, I posted a chart titled “Ten Typical Student Mindsets,” and it went viral.
Why did it go viral? Because it resonated with so many people.
What is at the core of student mindsets? It’s “waiting to be fed.”
Waiting for teachers to tell you what to learn, waiting for companies to tell you what to do, waiting for influencers to tell you which courses to buy, and waiting for recommendation algorithms to tell you what to watch.
Have you noticed that this is essentially the same as the “internal depletion” mentioned earlier?
You’re handing over your decision-making power to others—teachers, bosses, algorithms, and influencers.
On the surface, it seems like you’re saving effort, but in reality, you’re losing something crucial: the ability to make independent judgments.
This leads you into a vicious cycle:
Because you can’t judge, you rely on others’ judgments.
Because you rely on others’ judgments, you receive a lot of junk information.
Because you receive a lot of junk information, your prefrontal cortex is continuously overloaded.
Because your prefrontal cortex is continuously overloaded, you become even less capable of making judgments.
…
This cycle is the true internal depletion.
### A 2980 RMB AI Course Is Not as Good as Official Documentation
This week, Jiemeng 2.0 was released, and like many others, I waited in line for six hours.
While waiting, I did one thing—read the official documentation.
Everything about camera movements, gameplay, and capabilities is written there—for free, publicly available, and more detailed than any 2980 RMB AI comic course on the market.
I posted a tweet about this, and it went viral again.
Why? Because too many people spent money on courses only to find out that the content was just a translation of the official documentation, often less accurate than the original.
This made me think about a deeper issue:
Why do people prefer to spend 2980 RMB on second-hand information rather than 30 minutes on first-hand information?
Because of student mindsets.
Because “waiting to be fed” is much more comfortable than “finding your own food.”
You spent 2,980 to buy an illusion of “I am learning” — your prefrontal cortex no longer has to make the decision of what to watch because the course outline has done it for you. Your anxiety is temporarily relieved because you feel like you are taking action.
But your pocket is still empty.
# There Are No Shortcuts to Aesthetics
0:06
This week, I shared some websites that genuinely improve aesthetic sense, and they received a lot of attention.
Interestingly, these websites are all free, public, and accessible at any time. But most people didn’t know about them before.
Why? Because recommendation algorithms don’t push these to you. Instead, they push short videos, sensational content, or “generate 50 PPTs in one second.” These things keep you engaged, make you click, and give you the illusion of learning.
What truly improves your aesthetic sense is often quiet, slow, and requires active seeking.
@kepano
It’s like my document on Mac usage tips — a decade of experience accumulated bit by bit, with no shortcuts and no “one-click solutions.”
I said on Twitter: I generally don’t recommend others to buy a MacBook.
But once they do, I give them this document.
Why? Because the tool itself isn’t as important as how you use it. A MacBook Pro in different hands can have vastly different outcomes — some use it to write industry-changing code, while others watch three years of iQiyi on it.
What’s the difference? It lies in whether you’ve spent time truly understanding the tools at your disposal.
The same principle applies to AI.
Where your attention flows, there your life will go.
Putting all of this together —
– If a tool can replace 80% of your work → You need to find that irreplaceable 20%
– Your prefrontal cortex is being overwhelmed by information → You need to reduce ineffective decisions
– Student mentality makes you “wait to be fed” → You need to reclaim the power of judgment
– A 2,980 course isn’t better than free official documents → You need to learn how to find primary sources
– There are no shortcuts to aesthetics → You need to actively invest time
All of these point to one conclusion —
Your
Attention is the most valuable commodity in this era.
More valuable than AI, more valuable than computing power, and more valuable than any course.
This is because attention is non-renewable—spend 2 hours scrolling through junk information today, and those 2 hours are gone forever. Spend 2 hours reading official documentation, studying an open-source project, or writing a serious article, and those 2 hours become an irreplaceable part of you.
AI is getting stronger, information is proliferating, and noise is increasing.
In such an environment, the person who can protect their attention is the winner.
This has nothing to do with intelligence—their prefrontal cortex is still intact.
To wrap up:
This week, I deleted over 10 notes from when I was learning Blender.
The crazy car, the donut… those classic tutorial creations.
Now, AI can generate videos that are 100 times cooler than mine with just a few words.
But when I made the crazy car, it felt really great. The process of adjusting parameters frame by frame and connecting materials node by node gave me a sense of satisfaction that AI cannot provide.
That satisfaction comes from fully immersing yourself in something.
It’s not about the fleeting pleasure of scrolling through information or the illusion of “learning something new”—it’s about genuine, immersive, time-forgetting flow.
AI can replace your output, but it can’t replace your flow.
So, instead of worrying whether AI will replace you, ask yourself a simpler question—
When was the last time you entered a state of flow?
If you can’t remember, that’s truly something to be anxious about.
That said, since you’ve made it this far… give a like, share, and retweet. See you in the next one.
Let’s start creating.
Source
Author: Jackywine
Publish Date: March 6, 2026, 10:25 AM
Source: Original Post
Editorial Comment
There is a specific kind of discomfort that comes from looking at a GitHub trending list and realizing that a repository is doing your job better than you did it last Tuesday. Jackywine’s recent commentary on the "OpenClaw" phenomenon isn't just another "AI is coming for your job" post; it’s a diagnostic report on the total collapse of the traditional white-collar value proposition. When a tool can handle the bulk of design, coding, and admin for the cost of a few API credits, the "nine-to-five" office routine starts to look less like a career and more like a high-overhead reenactment of the past.
The most striking part of this argument isn't the technological displacement, but the biological cost of trying to keep up. We talk about "burnout" as if it’s a purely emotional state, but the author correctly identifies it as a physiological tax on the prefrontal cortex. Every "should I click this?" and "what should I eat?" and "which AI tool is best?" is a micro-decision that drains the battery. By the time most professionals sit down to do "real" work, their cognitive reserves are already depleted by the sheer friction of navigating a high-noise digital environment. We aren't just tired; we are functionally impaired by a thousand tiny choices that don't actually matter.
This leads to what I call the "Premium Mediocrity Trap." Because people are too exhausted to think for themselves, they fall back into the "student mindset"—the desire to be fed a syllabus. This explains the booming market for expensive, mid-tier AI courses. People will pay thousands for a "curated" PDF because it saves them the cognitive effort of reading the official documentation for free. It’s a form of "learning theater." You buy the course to quiet the anxiety of being left behind, but because you haven't exercised the muscle of independent discovery, you remain just as vulnerable as you were before. You’ve outsourced your judgment to a creator who is likely just one step ahead of you in the manual.
As an editor, I see this play out constantly in how information is consumed. The "save for later" culture is a symptom of a broken attention span. We collect bookmarks like talismans, hoping that the mere act of "collecting" knowledge will translate into "having" knowledge. But as Jackywine points out, the algorithm is designed to keep you in this loop. It rewards the "炸裂" (explosive) headline and the "one-click" solution because those things don't require you to use your prefrontal cortex. They are low-friction, high-dopamine, and ultimately zero-value.
The pivot we have to make is toward "high-friction" activities. Reading the dry, technical documentation of a new software release is hard. It’s boring. It requires focus. But that is exactly why it’s valuable. It’s a primary source. When you bypass the middleman and go straight to the source, you aren't just getting better information; you are reclaiming your attention. You are making a conscious decision about what enters your brain, rather than letting a recommendation engine decide for you.
Ultimately, the goal isn't to work harder than the AI—that’s a losing battle. The goal is to protect the only thing the AI doesn't have: intentionality. Whether it’s building a "crazy car" in Blender or writing a complex piece of code, the value isn't just in the final file. It’s in the "flow state" achieved during the process. That state of deep immersion is the only place where true innovation happens. If you can’t remember the last time you were so focused on a task that you forgot to check your phone, you aren't just losing your job to automation—you’re losing your edge as a sentient professional. In this era, the person who can sit in a room for two hours and focus on one difficult problem is the most powerful person in the room. Everything else is just noise.