“Personally, I came up with a question to accurately test whether an AI’s response is based on understanding or model data. By randomly inputting two strings of gibberish characters, and then asking which one is funnier. Since my English is not very good, I plan to test it in Chinese. For example, “你的姐夫年级第三大暖男” and “开始啃最低东南半壁的,” which sentence is funnier? If AI can successfully answer such a question in the future, it would indicate that the AI is giving an answer based on understanding, which would mean that humanity has entered the era of strong AI.”
A recent personal logical thought: if I already have a store, how can I know the reasons why business is not doing well? After thinking for two days, I finally figured out the solution. It can be done through research and then reverse logical reasoning.
Here’s an example:
Step 1: List all the possible reasons that could lead to repeat customers, such as:
1. Good product variety
2. Taste that matches customer preferences
3. Good store location, proximity
4. Good service attitude
5. Attractive staff members (handsome or beautiful servers)
6. Nice store decor
7. Affordable prices
Step 2: Give this list of reasons to regular customers who frequent the store to vote on what they think matters most.
Step 3: Reorder the results based on the votes, for example, the result might be:
1. Affordable prices
2. Attractive staff members
3. Good store location
4. Taste that matches preferences
5. Good service attitude
6. Nice store decor
7. Good product variety
Step 4: Reverse logical reasoning: the three main reasons why new customers don’t turn into repeat customers are likely the last three:
1. Product variety is not good enough
2. Store decor is not attractive enough
3. Service attitude is not good enough
After knowing the reasons, improvements can be made to increase repeat customers.
There’s an important logical mistake to avoid. You should never directly ask repeat customers what’s wrong because those who become repeat customers have already been attracted to the store by some factor. Asking them what’s wrong will lead to survivorship bias. Instead, you should ask them what attracted them to come back, and then use reverse logical reasoning to figure out why people who visited once don’t return.
To put it simply: you should ask those who returned frequently what attracted them to come back, and then use reverse reasoning to deduce the reasons why those who only came once didn’t return.
If you can’t understand the logic here, I recommend studying the theory of survivorship bias before revisiting this logic.
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
If success could be easily achieved through sheer effort, it would be an insult to innate talent.
Whether in real life or the digital world, I see far too many people trying to compensate for a lack of innate talent and innovation with diligence and hard work—especially my fellow Chinese. When it comes to effort, I believe few ethnic groups can surpass us Chinese in sheer perseverance. Hard work itself is not wrong, but when effort and persistence can easily match innate talent and creativity to achieve success, it essentially encourages the majority to forgo innovation. This ultimately leads to a path-dependent cycle of relentless effort, resulting in inefficiency and an endless loop of low-value competition.
Take the great scientific breakthroughs as examples—Newton’s law of universal gravitation, Archimedes’ principle of buoyancy, Einstein’s theory of relativity. These were never achieved through mere hard work but rather through the manifestation of extraordinary innate talent in a singular moment of insight.
Now, let’s consider today’s internet platforms. Many creators and accounts flood the platforms daily with massive amounts of low-quality content, lacking original thought, hoping to gain exposure simply through volume and persistence. The reality is, many succeed this way. From the platform’s perspective, it makes sense—they want as many users as possible to generate content, so they encourage frequent posting. This enables a large group of people to gain traffic through sheer quantity and consistency. As a result, more individuals are drawn into this volume-driven race, creating a negative cycle that ultimately buries those with true innate talent and innovation.
But true excellence is never a product of mere hard work alone. I believe that in order to break this cycle, we must impose limits on success driven solely by persistence and volume while amplifying the visibility and encouragement of genuinely innovative content. What qualifies as innovative content? To me, it is content that presents novel perspectives or expands the boundaries of thought.
Ultimately, I hope people learn to show deep respect for innate talent—because that is the true key to making the world a better place.
Isn't it pretty awesome to beat AI in logical reasoning? 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
I have created a novel game theory model: Corridor Usage Between Two Parties
Premise: Two individuals each own a house. The internal area of each house is considered an absolute legal boundary of interest, which neither party can infringe upon. The corridor outside the houses is a public area, representing a gray zone of interest, where infringement is not illegal. Both parties desire to gain usage rights over the corridor, as obtaining control over this gray space effectively expands their absolute interest—the internal space of their house. Initially, the corridor is not infringed upon by either party, as it is not considered part of their absolute interest. However, one party, driven by self-interest, begins to encroach on the corridor to store their belongings, thereby creating more internal space for themselves. The other party observes this and faces two possible choices:
1. If they are a "nice person", they may choose to tolerate the encroachment, ensuring that a small portion of the corridor remains accessible to maintain its usability.
2. If they choose to retaliate, both parties will eventually fill the corridor completely with their belongings, rendering it unusable. This outcome is undesirable for both, as it prevents passage through the corridor.
Ultimately, the situation leads to mutual negotiation. The negotiation may result in two possible outcomes:
1. Both parties agree not to encroach on the corridor, and all belongings are moved back into their respective houses, restoring the original state.
2. Both parties agree to equally divide a small portion of the corridor for encroachment, ensuring that the corridor remains passable.
AI can generate an infinite number of perspectives on the same issue. I believe that when AI reaches this capability, it signifies a paradigm breakthrough. However, AI is designed to cater to the needs of the majority based on big data, which means it must discard perspectives that are deemed meaningless to most people. This constraint hinders AI’s creative potential for achieving a paradigm shift. AI agreed with my view and suggested that if it were trained not to optimize for statistical majority preference but instead to focus on “non-consensus innovation,” it might achieve a true breakthrough. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
High-probability limit-up stocks in China’s A-shares for the next trading day and verification of stocks selected on the previous trading day (Figure 1: Stock verification; Figure 2: High-probability limit-up stocks for the next trading day).
Warning: My stock picks are speculative. The market often hunts stop-losses, and most lack the skills for speculative trading. Avoid these stocks unless you accept full responsibility for potential losses.
Daily Diagnosis Stock: For stocks in any market, please share your purchase price and whether you're willing to take a loss. I will randomly select a comment and given my trading strategy. 
As the A-share market returns from its Chinese New Year hiatus tomorrow, I'll continue my practice of documenting and exhibiting my abilities in the financial world. This practice, akin to zero-knowledge proof, allows me to convey my competence without explicitly sharing my knowledge. My underlying objective is to validate my standing as a successful participant, which in turn amplifies my credibility and impact. I'm openly discussing my motivations to provide a framework for those who wish to showcase their distinctiveness.