Is there a disparity between people in terms of how "smart" they are?The so-called "smart people" are because they are born with good brains?Or is it because there is so much knowledge to learn?
I once wrote an article about how our brains work, kind of like smartphones.
The brain is like a smartphone, loading the app of life, and it is stuck when you use it.
This article continues to discuss how people think differently and what makes it "smart".
Memories are like hard drives. The knowledge we have learned, the things we have gone through, and the experience we have learned are all stored in the hard drive. As mentioned in the previous article, various apps and apps are also installed on the hard drive. When you need to think, rememberMemorizing useful information is equivalent to opening a file and loading the information from the hard drive into memory. Then, through rational analysis, a conclusion is reached.
If it takes too long, or if the hard drive is corrupted, the files on the hard drive will not be readable, or there will be errorsIn the same way, people forget and make mistakes.
People think to achieve their goals. In other words, people think about what they need to do to achieve their goals.
The goals are both long-term and short-term. I have analyzed it in a previous article.
Shaking your head and reading "University" – it's important to have a clear and consistent goal.
Annual salary millions?Or is it admired by thousands of people?Our goal is as simple as that.
If there are no urgent tasks at this stage, and the progress of long-term goals is under control, then we can take a break and put our brains into standby mode, or in leisure mode. For example, we swipe our phones, or go out on a trip and relax for a few days.
Stress and anxiety arise when we have urgent, short-term goals that are not yet achievable, or if long-term goals are not progressing and we are unable to think of solutions.
In the process of thinking, we need to call the respective information in the memory drive, and then synthesize this information and analyze it to get the best solution.
If the memory is large enough, you can analyze a variety of information in a comprehensive manner. Otherwise, only a small amount can be analyzed. The more information that can be analyzed comprehensively, the more accurate the results will be.
The Mean - How to "know 500 years before, 500 years later".
Let's give you a few examples.
Sitting in class and listening to the lecture, some students can fully understand the content of the teacher, which means that these students have entered the content of the class into the memory, analyzed and processed it through the CPU, and stored the information in the memory drive.
And some of the classmates may be becauseThe memory access rate is insufficient, unable to receive information quickly;orCPU power is insufficient, unable to quickly process in-memory knowledge;orThe memory is too small, unable to load the knowledge just received and the previous related knowledge into the brain at the same time;Or orMemory hard drives are prone to data loss, I can't always remember. By the time these underconfigured students finished dealing with what the teacher had just said, the teacher had already finished five more sentences. That's the difference in learning efficiency.
Someone tells a joke that we don't understand, which means that we don't have the knowledge needed to parse the joke on our memory drives.
I'll tell you a stalk, do you dare to understand?
Or it takes a long time to react, which means that it took a long time for our CPU to process the joke.
Sometimes certain events, news, etc. contain too much information, and we need to load more content into memory at the same time to think. For example, because of a disaster in a certain place, the price of raw materials has risen, which has affected the production of a certain product, and then affected a certain industry, resulting in some ** fluctuations. To figure this out, you need to load a lot of content in memory, such as geography, meteorology, chemistry, economics, finance, governance, and so on. If we have a small memory, we can't load these things at the same time, and we need to analyze them one by one;If the hard disk and memory read rate is slow, it will take half a day to know.
I'm also not sure if the configuration of our brains is innate, or if it can be improved by training. However, we can increase the speed of thinking with a pre-loading approach.
The simplest example is preview. Load the knowledge that the teacher is going to teach into memory in advance, so that the CPU only needs to deal with things that we didn't know before, and there is no need to recall the files on the hard drive. In this way, the efficiency of thinking will be greatly improved.
Similarly, preparing a speech before a meeting, learning more about the customer before meeting with the customer, and learning more about the engineering drawings before construction are all pre-loaded practices that can greatly improve efficiency.
In order to make up for the lack of memory, when we think, we will write our ideas on paper or blackboard first, so that when we see the words on the paper, we will directly process the results of the previous calculation, which is equivalent to virtual memory.
In film and television works, we often see the scene of putting information on the wall, as long as we work in this office, it is equivalent to automatically loading relevant information.
There is also a situation where we are more familiar with the knowledge we use frequently and load it faster. If we drive every day, we will not think about it every time we get in the car: seat belt, release the handbrake, step on it, hang it on the accelerator twice, and lift the clutch slowly to fuel ......
As with driving, when we have enough experience to encounter something, we will load the previous information and how to deal with the incident like a conditioned reflex. This is called the subconscious. At this time, the information we call is almost not loaded into memory, but directly loaded into the CPU's adjustment cache, which will greatly improve the efficiency.
The simplest example is playing ball, playing games. After a long run-in, when the team sees that our teammates have a chance, they can make coordinated actions in a very short time. More complicated, such as the general's judgment of the complex situation on the battlefield, the CEO's judgment of the business situation. WhileThese judgments are basically based on intuition.
This process of relying on intuition to reach quick conclusions is very empirical and dependent. Just like the legendary "neural network algorithm", it requires a large amount of data to train the model.
A person with sufficient intuition is generally called wise.
Just as there are limits to the hard disk, memory, and CPU capabilities of a computer, there is also a limit to everyone's brain power, and it is impossible to understand the knowledge of various specialties at the same time, nor can it load too much information to think at the same time.
At this time, on the computer side, we use the cluster method to connect multiple computers to form a server cluster, so as to increase storage and computing power.
On the human side, we bring together multiple people with different knowledge and abilities to share their knowledge and thinking and discuss them.
Human clusters are different from computer clusters, and this kind of committee-like human groups can aggregate everyone's information together to calculate, but in the end, there must be a good summary algorithm, otherwise, everyone's opinions are not unanimous, but it will have the opposite effect.
The concept of field pointers is probably only understood by programmers in the C department.
I often read books before going to bed, but my memory was so low that I couldn't analyze a sentence when I read it, and then I fell asleep, which was not bad. At this point, I still have some variables in my memory that have not been released, and it is possible that these pointers are pointing to different locations. So, when we dream, we dream about a lot of things that are completely unrelated. I think that's also interesting.
There is also the problem, which I also mentioned in previous articles, that if there are too many memory files in the human brain, then it is inevitable that there will be some indexes. There is a saying that why do the elderly respond slowly?It's because they have too much of the past, and when they encounter something, they think of too many other things, which slows down the reaction. In other words, when we see one thing, we may automatically index to other things that we have encountered before, so we load too many memories, and the CPU does not have time to process so many memories, so the response is slow.
Then again, my input peripherals don't seem to work very well, and I should go get new glasses.