How to simulate the entire universe using a laptop?

“A new tool, Effort.jl, is revolutionizing cosmology by letting scientists analyze enormous datasets quickly and accurately on a simple laptop. (Artist’s concept). Credit: SciTechDaily.com” (ScitechDaily, Researchers Have Discovered a Way To Simulate the Universe – on a Laptop)

How to simulate the entire universe using a laptop? The answer lies in the accuracy the system employs. When we want to conduct. In a comprehensive analysis or simulation of the entire system, we must first select the scale at which we want to simulate it. If we want to make a simulation of the entire universe, we must begin with its smallest parts. In this case, we must only remember that the system's entirety is the sum of multiple subsystems. An atom, as an example, is the sum of electron shells and the nucleus. 

The nucleus of an atom is the sum of the protons and neutrons. And protons and neutrons are sums of quarks and gluons. We can make the simulation step by step. First, we can make a simulation of interactions. Between quarks and gluons. Then we can connect these simulations. Together with the proton and neutron interaction. 

And then we can make simulations. Of how electrons behave with each other and then how electron orbits interact with the atomic core. In this case, the system handles the entirety as modules. Each module handles each participant. The proton module involves the up and down quarks. Interaction with each other. This means that the system creates a mosaic where each participant of the structure is handled. Like an element. The system forms a bigger structure by connecting the smaller mosaic plates. The system makes a puzzle. Where each piece is a smaller-sized system. And together. Those smaller systems form a bigger entirety. 

If we want to calculate chemistry calculations. And to make simulations. Between molecules, we must not know quark interactions. We can choose the scale as atoms or atomic groups. To make simulations of their behaviors. In molecular-scale interactions. Those interactions happen in the farthest electron orbital. So we must not care. About the internal interactions of atoms. Removing. Unnecessary parts from the simulations. We can remove too high accuracy. 

That means we remove unnecessary parts of the system. If we want to drive from point A to point B. We want to know what route we choose. We don’t want to know what kind of houses or what kind of trees. Are in certain areas. We don’t need to know when every single person comes home. We must not know there is a free parking lot if we are on a transit journey. We need to know only which streets we select. This means the system must remove unnecessary information to make our work easier. So, the system gives only information. That we need. 

When we talk about accuracy. We can think that the system must control small points in the simulations. If we want to make a complete simulation of the universe and start from the quark-gluon levels, there are too many points that the system must handle.  We should begin those simulations from a much higher level. Like in the level of local galactic clusters. That means . We must make a model. Where the details in the entirety are lost. That allows us to handle things like galaxies as one point or entirety. 

If we want to simulate the interactions between galaxies. We must realize that there are billions of galaxies in the universe. That makes this type of simulation hard to make. There are billions of stars in each galaxy. And all giant spiral galaxies are following large groups of star clusters and dwarf galaxies. 

But it's possible to handle those systems as a whole. In that model. The system makes ball-shaped structures. There, it removes details. So the galaxies are like balls that interact with each other. But then there are still too many objects. That means we can make another crop. We can select certain galaxies whose interactions we can analyze. If we want to make a simulation. 

To determine how the Andromeda galaxy and the Milky Way will collide, we must calculate the route that those galaxies follow. There, we need to see the effect. The Magellanic Clouds affect that route. Calculating that three-body problem is possible, if we do not follow the highest accuracy. There is a possibility that Andromeda travels past the Milky Way. And then those galaxies start to orbit each other. Closing together. Then in the last stage, the supermassive black holes collide in the middle of the new galaxy. 

But if we want to make universe-scale simulations. We must use a different scale of accuracy. We must not calculate all electrons and each electron's trajectories. If we want to calculate things like how stars or interstellar nebulae behave. We must change the scale of accuracy. To make a large-scale simulation. We must understand that we can cut off atomic-scale objects. If we simulate large entireties. 

In universe-scale simulations, it's important. To determine the thing. What we want to simulate. If we want to simulate interactions between two galactic superclusters, we must not calculate the interactions of each single galaxy. We can think. That those galaxies and even local clusters are the entirety at the level of cosmic superclusters. We can think that. The superclusters are like balls. The giant entities where the local clusters form the mass centers. Or we can simply think. That they are like giant balls. That makes the simulation of the galactic superclusters' interactions easy. 

https://scitechdaily.com/researchers-have-discovered-a-way-to-simulate-the-universe-on-a-laptop/

Does the AI turn us passive?

The answer to that question is simple. The way we use AI determines whether it will make us more effective, smarter, or dumber. The thing that can turn an AI into a tool that destroys our ability to search for information. Write our essays, and make things. Is the way. To use AI. The AI can be like a mother, who always gives answers when the kid asks something. That thing can be effective. The problem is that the mother will not always stand next to the kids. And give answers to their questions. 

But the thing. That teaches a critical way to think and search for information is to give the encyclopedia to the kid, and then order them to search for the answer by themselves. 

The best way to destroy our productivity, thinking, and other things. It is to use the AI as a mother. In that case, we use AI like a child uses their parents. We can ask everything from the AI, and that makes us lazy. If we just ask things. From the AI. like “Write an essay for me, and mention things X,Y,and Z.” 

That thing can make this way of working effective. But it doesn’t make the essay-writing thing. That advances our way of thinking. In this case, we can compile the AI into a mother who writes essays to their kids. Those things might be impressive. If a 40-year-old person writes an essay. That a 10-year-old kid introduces as their own product. That essay can collect many prizes in a 10-year series, but that doesn’t advance the 10-year-old kid’s thinking. 

The thing that can destroy our ability to search for information is the need for effectiveness. When we write our essays, like this kind of text, we make them for ourselves. And of course, they are made for the audience. But those things require time. Time is money. And of course, we must write our essays in our free time. Companies pay for work. They pay for effectiveness. And that means we can turn the AI into a mother, who we can ask to make things like write essays and reports for our boss. 

We can use the AI as a mother who always gives answers to us. If we ask something. Or we can turn that tool into the melody mother, who always pleases the user, and tells things that the user wants to hear. We can give the AI the ability to think. But should we follow the instructions that the AI gives? Or should we just push the red button when the AI says that: “Press the red button”?

We say that we can use the AI as a mother. We can ask everything. From the AI. And that makes us effective. But that kind of mother. Kills our ability to search for information. Or, is it the AI’s fault if our boss gives an order to use the AI assistant in every situation? When we use the AI as some kind of mother. Who always gives answers all the time. When we ask something, we make a decision. We are people who use AI. We give orders to the algorithm. 

The algorithm is the system that searches, sorts, and outputs information. The decision on how to use AI is made by humans. If we give AI the authority to give orders to us, and we follow those orders, that decision is made by a human. We decide if we want to take orders from the AI. And if we don’t even check who owns some newspapers or TV channels, the decision is ours. 

But same way. Humans own the AI companies. They also make decisions about what the AI should tell and what it should not tell. Those people decide what they allow people to get, and what they are not allowed to get. 

The biggest failure that the user can make with the AI is not to use AI as some kind of mother, who tells everything that we want. We can turn the AI into a melody mother, who tells us what we want to hear. The problem with commercial AI is that it must be user-friendly. In some cases, the user-friendly can mean that the AI’s purpose is to please the user. That thing can tell. What the user wants to hear.  But, in this case. The people who make products. Have responsibility for their product. The AI tells only things. That it’s allowed to tell. The person who makes the algorithms determines those rules.