What is this blog about
🌐 中文What is this blog about?
We don’t lack answers; we’ve forgotten how to think.
With the advancement of technology—whether through search engines or Large Language Models—answers are delivered at lightning speed. Why is the stock market falling? Why did a certain phenomenon occur? What’s wrong with my health? Information is abundant, and explanations and perspectives are everywhere. But if we pause for a moment, we notice something unsettling: we can no longer discern the accuracy of these answers. More often than not, the answer appears before the problem is even understood.
Moving beyond point-based thinking toward structured inquiry
We excel at getting replies, but struggle with structuring thought and abstraction.
Getting the wrong answer isn’t usually due to a lack of data or analytical skill. It happens at a deeper level: before responding, we rarely ask whether the problem has been clearly defined or whether our thinking has any structure.
We tend to see a phenomenon and immediately hunt for a cause, or see a result and rush to link it to a specific issue. This is the habit of “point-based thinking.” This approach is natural and efficient, but it ignores the reality that the world rarely operates at a single point.
Events happen simultaneously. Change occurs in layers. The cause is often not at the point of observation, but within a broader structure. Without abstraction and structural thinking, we don’t just get the wrong answers—we ask the wrong questions.
When engaging in abstract discussions, we might even think: “I’m here to solve practical problems, not conduct research. Does this abstract thinking actually help?”
Yet, history tells a different story. Without this kind of abstraction, there would be no Deep Learning, no Language Models, no Scientific Revolution, no Age of Reason, and no escape from the intellectual stagnation of the Middle Ages.
I think, therefore the blog is.
When we jump directly from a point-based observation to an explanation, we skip the process of “aligning” those observations. This blog isn’t here to provide answers. It’s an attempt to document how thinking should be structured before answering why.
Before asking “why,” our thinking needs structure in order to identify the problem.
You won’t find many definitive answers here. Instead, problems will be broken down, and multiple possibilities will remain open. Premature certainty often masks what truly needs to be seen.
I invite you to observe what a problem looks like before it is oversimplified, and to see how thought itself can be organized before explanations emerge. This process is inherently fascinating.
I intend to document the “thinking before the solution” and the process of defining problems. Learning to deconstruct a problem is like acquiring a master key—one that unlocks many doors, rather than just performing mental gymnastics.
This doesn’t mean I favor thought over action. It’s just that today, solutions are abundant and quick. Once a problem is clearly defined, the right remedy tends to follow. This is likely why people are so interested in “prompt engineering” nowadays.
I hope you enjoy the reading—and the thinking.