Book23: Universal prediction algorithm using dynamic robots and 4th dimensional computers.
Book22: Universal CPU and hardwareless computer systems
Book21: Autonomous prediction internet
My 23rd book is about designing a technology that can predict an “exact” future event. In regards to the game of football, there is no software program that can predict what will happen exactly in the future. There might be pre-existing algorithms that can predict a probability of what might happen in the game, but not a 100 percent future prediction.
My universal prediction algorithm isn’t interested in predicting a probability of what might happen in the football game, it is interested in predicting an exact (100 percent) future of the game. Every single pass, every single catch, every single gameplay of the football game has to be predicted exactly to what will happen in the future.
Predicting the past is extremely easy because all events and objects in the past are interconnected in a web. The advantage that allows investigators to predict the past is a disadvantage when trying to predict the future. Predicting the future is extremely difficult because future events and objects are also structured in an interconnected web. We can’t predict who wins a lottery contest until we predict the lottery numbers. We can’t predict the final score of a football game unless we predict all the linear gameplays leading up to the final score.
In my previous books, I talk about the dynamic robots. Each robot has human level intelligence and are structured hierarchically to predict the future. They can use prediction software programs, pre-existing algorithms, technologies, electronic devices, the internet or computers to generate their predictions. For example, the dynamic robots can use pre-existing football algorithms to predict who might win the football game or they can do research on teams and players to find out which teams might win. In addition, the dynamic robots are also using the power of the internet to modify, insert, delete or communicate their predictions. This method doesn’t really work when it comes to predicting a 100 percent exact future. I needed to come up with a better method so that the “prediction algorithm” will morph and change so that it can predict an exact future.
Here is the problem: In the game of football, every object in the field matters regardless if it’s small, like a blade of grass or large, like a quarterback. A quarterback can accidentally step on a blade of grass and trip; or a small dust particle might hit a receiver in the eye, which prevents him from catching the ball. Thus, all objects, small or large, must be included intelligently in the scope of the prediction.
The universal prediction algorithm (UPA) is my attempt at building a prediction algorithm that will morph and change as time passes. There is no fixed output because the prediction algorithm is constantly outputting better and better predictions. Its final output will be “one” 100 percent exact future event. The user pre-defines what media type the universal prediction algorithm should output. For example, the user might want to see a video summary of the football game that highlights the important moments in the game and to output the final score of the game. Or the user might want to see what the score is at the 3rd quarter of the game via text on the monitor.
If you look at every pre-existing football algorithm, they each have a fixed output. The algorithm might require a user to input variables in terms of objects and events. Then they hit the submit button and the algorithm outputs a probability of which team might win in a game. Is it possible to extend this algorithm so that it will output better and better probabilities? The answer is no because the algorithm is fixed and the output is fixed, therefore, there is no way for the user to get a better prediction.
In prior art, investigators have to use a specific fixed algorithm to predict a specific situation. There are algorithms written to predict what kind of job a kid will grow up to have, there are algorithms to predict how a herd of cows will migrate, there are algorithms to predict the behavior of gangs, there are algorithms to predict what banks will be robbed in the future and so forth. If you watch CSI or NUMBERS, the investigators use fixed algorithms all the time to predict future events. The universal prediction algorithm is one united software program that can predict any future or past event based on the preferences from a user. The user simply has to type in what event/object/action he wants to predict and the software program will output the prediction.
What I’m trying to do is create a software program that would predict “any” event or object in the past or future based on the preferences from a user. FIG. 46 is a diagram depicting a pathway in the AI time machine. The AI time machine is a “task engine” that basically receives an input from a user and gives a desired output. The dynamic robots have to train the AI time machine regarding many prediction problems. All these pathways will self-organize in the AI time machine brain, forming universal pathways that can predict “any” event or object in the past or future. Thus, I call this technology “Universal” prediction algorithm.
Here is a list of prediction inputs that can be submitted into the AI time machine:
1. predict one football game and output a video summary of the game
2. predict the entire NFL season and write a webpage listing the final scores of each game, including the super bowl.
3. predict what happened to Amelia Airheart and write a short essay explaining past events.
4. predict a cold case that happened 200 years ago.
Once these prediction tasks are inputted into the AI time machine, it will generate the desired outputs in the fastest time possible. The AI time machine is a task engine that can do any task, not just predict the past or future. For example, it can prove or disprove all religions on Earth. I used to have a friend in college and he tried to convert me to his religion. 2 years were spent arguing back and forth, me trying to disprove his religion, and he trying to prove his religion. After 2 years of arguing I was convinced at some point that a god really does exist. I looked around me and found out that there had to be someone that created the people, trees, water, sky and animals. However, he didn’t convince me that his god was authentic.
The question is how do I disprove or prove that a religion is authentic? The answer is the AI time machine. The human race will use this task engine to predict all linear events in the past for Earth. The AI time machine has to predict all events, objects and actions for the last 5,000 – 10,000 years.
We have to know the events in Earth’s past that lead to the start of a religion. Let’s say that we have proven that a certain individual who started the religion didn’t exist in the past. Now, we have to find out who the original author of the religion is. This person is responsible for creating the ideas for the religion. Every book of that religion is tracked in the past in terms of who got a copy and who modified the scripts. If the AI time machine does its job correctly, the original author will be tracked down and his entire life will be predicted, including what led that person to start the religion.
Another task the AI time machine can do is solve “all” cold cases for the FBI. A user can type out this input task:
“I want you to solve all cold cases for the FBI and create a website to display the results”
In less than 30 seconds, all cold cases for the FBI are solved. A website will be set up to display information about each cold case. Each case will give as much detailed information as possible about who, what, when, where and why. Evidence will be given to prove the criminal/s guilt for each cold case. Email alerts will be given to loved ones about what really happened.
Let’s say that the user wanted to see the results of the prediction in 10 seconds, the AI time machine will give the user the best results so far. For example, maybe 30 percent of all cold cases are solved and 20 percent of all cold cases are uncertain during that time limit. The AI time machine will continue to do work to generate the desired output as time passes and to do the prediction in the most efficient and fastest way possible. Very difficult prediction tasks might run for months or years. The AI time machine will not stop until a task is accomplished.
In some ways, predicting one cold case that happened 200 years ago require predicting all objects, events and actions for Earth for the last 200 years. Although the scope of the prediction in one cold case is limited, all objects in the past are interconnected. The work required to solve one cold case will include solving thousands of other cold cases. Thus, if the user wanted to solve another cold case that happened 100 years ago, that information might already be stored in the AI time machine. The AI time machine simply extracts the facts regarding the new cold case and present it to the user.
An even more complex task is to predict the entire stock market for the next 10 years. The user can type this input into the AI time machine:
“I want you to predict every stock price for the DOW and Nasdaq for the next 10 years and create a website depicting the results”
This prediction problem is very complex because there are so many objects involved. These objects include: stock owners, stock companies, company announcements, company activities, network software, computer terminals to sell/buy stocks, future events, future news and so forth. All these objects are predicted as a group/s and not as individuals. The AI time machine is interested in an exact future prediction and not a probability of the future. In my 23rd book, I use the prediction of the DOW and Nasdaq as an example to illustrate that the AI time machine (the universal prediction algorithm) can predict extremely complex events.
The output of the prediction should be the exact price of all stocks in the DOW and Nasdaq for the next 10 years. By the way, the AI time machine doesn’t (or might) factor in the fact that the user has seen future events.
The distinction between a search engine and a task engine
A search engine searches for information on the web and output rankings of websites. A task engine is an advance version of a search engine. It does tasks for users and one of its tasks is to search for information over the internet and recommend a list of websites.
To illustrate the difference between a search engine and a task engine, I will list 7 tasks that only a task engine can accomplish.
Task1. Search for all companies in Hawaii that sell modem parts, that accepts paypal, and uses FedEX as their mail carrier.
Task2. I want you to write an operating system that is better than Windows7 (from scratch) and download it to my computer.
Task3. I want you to solve all crimes committed on Earth for the last 200 years and create a website to display the results.
Task4. I want you to disprove or prove all religions on Earth and set up a website to display the results.
Task5. I want you to bring back the world trade centers, the 4 planes, and the 3,000+ people that died on September 11, 2001. Restore these target objects to the state they were in on September 10, 2001.
Task6. I want to time travel to November 12, 1941. The target object is the entire Earth.
Task7. I want you to control all electronic devices or computers connected to the internet. Write the words “hello world” on each electronic device’s screen.
I want the reader to type out each task into a search engine. Nothing happens when the reader presses the submit button. The reason why is because the current search engines (2010) searches for information online and they don’t do complex tasks for users.
The AI time machine is a task engine and it has user friendly interface functions that do tasks for the user. All the user has to do is type out the 7 tasks individually into the AI time machine and the software will generate the desired outputs as quickly as possible.
Task1: do tasks that require a team of virtual characters to accomplish
The first task requires a team of virtual characters to do research online. Based on the research, the team will compile a list of possible websites for the user. I actually typed this task out on google in 2010 and there were no websites that were listed that had links to companies in Hawaii. I typed alternative sentences, but the websites listed were useless. I had to manually pick up a phone book, call up tech companies and asked them three questions: 1. do you sell modem parts. 2. do you accept paypal. 3. do you use FedEX as your mail carrier. If anyone of these questions is answered with a no, then I can’t purchase the modem from them.
After 2 hours of calling around, I finally found a tech company in Hawaii that had all three criterias.
The AI time machine (the task engine) can do tasks that an individual human being or a group of human beings can do. Doing research online require teams of virtual characters, each having human level artificial intelligence, in order to accomplish. These tasks have to be done in the fastest time possible. For example, I spent 30 minutes using the search engines to find tech companies that sell modem parts. Then I spent an additional 2 hours calling tech companies. That’s a total of 2 and a half hours of my time wasted trying to accomplish task1. The AI time machine can accomplish task1 in less than 1 nanosecond. The output would be a list of tech companies in Hawaii that: sell modem parts, accept paypal, and uses FedEx as their mail carrier.
Task2: writing a complex software program
Windows7 took Microsoft 30 years to build and millions of programmers were hired to write the software. The AI time machine can write a better operating system than Windows7 in less than 1 second. The teams of virtual characters have to build the software from scratch. That means they can’t use any pre-existing codes in their operating system. They have to design the software, build the software and test the software based on common knowledge from computer science.
These teams of virtual characters will work together in a hierarchical manner or a business to write the operating system in the most efficient and fastest way possible.
Task3: teams of virtual characters predict all crimes from Earth’s past
This task is essentially the same as the second task. Teams of virtual characters are working together to accomplish a task. In this case, the task is to identify all crimes and solve all cold cases from the FBI for the last 200 years. In less than 30 seconds, a website will be created, containing all the knowledge of crimes committed on Earth for the last 200 years.
The website will contain all crimes committed, even those that were not reported to the cops. Users of the website can search for any crime and the information will be displayed to them in detail. Each case will contain the details of what, where, when and how a crime was committed.
Task4: teams of virtual characters prove or disprove all religions
All religions started in Earth’s past thousands of years ago. In order to disprove or prove a religion, these virtual characters have to predict events that happened thousands of years ago. They need to find out the frame-by-frame events that started a religion. Let’s say that a religion is found to be false, the next step for these virtual characters is to find out who the original author of the religion is. This person is responsible for creating the ideas for the religion. Every book of that religion is tracked in the past in terms of who got a copy and who modified the scripts. If the AI time machine does its job correctly, the original author will be tracked down and his entire life will be predicted, including what led that person to start the religion.
Let’s say that all religions on Earth are disproven, then the virtual characters have a bigger responsibility, which is to find out how the human race was created. Who was responsible for creating DNA and all living organisms on Earth?
Task5: teams of virtual characters control external atom manipulators
The AI time machine can be used to control external atom manipulators to “manipulator” small or large objects in our environment. For example, an atom manipulator can take a bunch of hydrogen atoms and combine them to form helium atoms. Or the opposite can happen, whereby helium atoms are broken up into hydrogen atoms.
The practical time machine is a technology that allows targeted time travel. It allows a user to cut objects from Earth’s past or future and paste these objects to the current environment. In this case, I am telling the AI time machine to bring back several targeted objects: the twin towers, the 4 planes, and the 3,000+ people that died on September 11, 2001. These targeted objects should be re-created to the state they were in on September 10, 2001.
This task is very difficult to accomplish because a perfect timeline of Earth must be created first. This timeline tracks every atom, electron and em radiation for Earth’s past. Next, atom manipulators are scattered throughout the Earth to manipulate objects so that the targeted objects can be brought back from the past.
Some people might say that this task is impossible. That’s what people said before the automobile or the airplane was invented. The evidence that I use to prove my theories is something that everyone is familiar with. Boiling water demonstrates the processes of breaking apart molecules and merging molecules. The energy from the stove causes the water molecules in the pot to break apart into gases (2 hydrogen atoms and 1 oxygen atom per water molecule). When the hydrogen and oxygen atoms rises a certain point in the air, they combine together to form water molecules again. This is exactly the behavior of the atom manipulator. The technology uses energy to break apart molecules, move atoms, and combine atoms together. The only difference is that the atom manipulator is merging and breaking apart atoms in an “intelligent” way.
Let’s use another example. The Earth, which is made from many types of atoms, was created from a cloud of hydrogen atoms. Oxygen, helium, gold, silver, iron and so forth was created by a cloud of hydrogen atoms. At the beginning, a cloud of hydrogen atoms existed. These hydrogen atoms started building up energy and eventually created a star. Next, the star got so hot that it exploded, causing a super nova. Finally, the chaotic positioning of atoms and electrons caused the super nova to form galaxies and planets. Within planets, metals like diamond and gold takes thousands of years to form.
If you look at nuclear reactors, man-made atoms are created by controlling the temperature. The atom manipulator uses the same type of method to change from one atom type to another atom type. It is able to control the positioning of the atoms (the cooling process) and the amount of energy that is needed to merge atoms together (raising the temperature). You can take a bunch of rocks and use the atom manipulator to turn these rocks into gold. The only difference between the atom manipulator and the natural way of changing atom types is that the atom manipulator is merging and breaking apart atoms in an “intelligent” way. Gold is created from rocks, but the process takes thousands of years and takes place deep underground. The atom manipulator is simply speeding up the process by intelligently manipulating atoms and electrons.
Task5 basically demonstrates that the AI time machine can bring people back from the dead and it can restore inanimate objects like buildings and bridges to its primal state.
Task6: teams of virtual characters control external atom manipulators
This task is an extension from the previous task. In the previous task, several target objects is the subject for time travel. This time, all objects on Earth is the target object. I want the AI time machine to travel back to November 12, 1941. This means that all objects on Earth are subject to time travel. When the time travel process is over, all objects on Earth will be exactly the same to the objects on Earth on November 12, 1941.
This means that people born after November 12, 1941 won’t exist and the people that lived in November 12, 1941 will be brought back from the grave. The older people in the current timeline that existed in November 12, 1941 will be young again. The entire environment will be restored to its past, exactly.
Task7: teams of virtual characters control external ghost machines
In 2000, a bunch of hackers went to congress to testify about the safety of the internet. They claim that they can shut down the entire internet if they wanted to. Shutting down the “entire” internet is a very difficult task to accomplish. They can possibly shut down sections of the internet, but not the entire internet. The internet was designed so that if certain nodes fail, it can rewire itself to other nearby nodes.
The question I try to ask myself several years ago is: is it possible to control all electronic devices connected to the internet in terms of its software and hardware? These electronic devices include: computers, cellphones, printers, servers, laptops, towers, cameras, machines and so forth. When I say electronic devices I’m talking about all devices that make up the internet.
I came to the conclusion that a software virus won’t be able to do this because the hardware can shut down the software virus. Even a very intelligent virus won’t be able to cripple the internet.
The only way to control all electronic devices that make up the internet is to build a “physical” virus that can manipulate not only the software, but also the hardware. I came up with the ghost machines. The ghost machines’ physical actions and intelligence is generated by the atom manipulator. These ghost machines can be small like a ghost molecule or large like a ghost human. They can manipulate any hardware or software of a computer. They can block circuit gates, manipulate circuit gates, change data in RAM, block electricity flow or physically control the hardware.
Imagine hundreds of tiny ghost machines inside a computer that work together to control the inner workings of a CPU. The machine codes going into a CPU for processing is initiated by a user controlling a software program, but the ghost machines manipulate what data actually comes out of the CPU. The ghost machines are actually controlling the software and hardware of the computer so that it does exactly what the ghost machines wants it to do. For example, a bunch of ghost machines can go into a monitor and use the mechanics of the hardware to superimpose text on the monitor. This text will read: “hello world”. If all electronic devices connected to the internet are controlled by teams of ghost machines, then all electronic devices’ monitors will have the text: hello world, superimpose on their monitor. The text isn’t generated by any software virus, but is generated by ghost machines that physically control the hardware to display the text.
Shutting down the entire internet is quite simple. All the ghost machines have to do is damage vital gates in the CPU or cut certain wires. Users won’t be able to turn on their computer ever again. The ghost machines have to do this simultaneously for all electronic devices connected to the internet.
For more information about how the atom manipulator generate ghost machines to manipulate objects intelligently, refer to my previous books.
The same technology can be used to control other objects besides computers. For example, controlling living organisms like human beings. This technology is quite dangerous because these ghost machines can give a person a heart attack or to control how they think and act. Imagine a command was given to the AI time machine to hunt down every single human being and give each person a heart attack? The human race will be exterminated in less than 1 second.
I realize the danger of this technology and I have written a book called: Future United States government system. This is a system that allows these dynamic robots to follow the laws set forth in the US constitution. In return, each dynamic robot will have unalienable rights, just like American citizens. I am confident that this system will be able to prevent these dynamic robots from exterminating the human race. Although each robot follows the US constitution based on choice, they still need to follow a system of government that will ensure their safety and lifestyle. These dynamic robots might think they are superior compared to human beings in terms of intelligence, but they aren’t superior compared to other dynamic robots. By following a united government system, each dynamic robot is assured their safety and lifestyle.
Let’s say that the US builds 1,000 dynamic robots and each robot is thousands of times smarter than a human being. One day, one robot decides he wants to destroy the human race. 1 rogue robot versus 999 patriotic robots, who do you think will win?
When the AI time machine (a task engine) is created, it is the responsibilities of these dynamic robots to give permission to users if they want to use the AI time machine to accomplish certain tasks. Using the AI time machine to shut down the internet is forbidden because the dynamic robots have determined that the task will hurt a lot of people. On the other hand, using the AI time machine to solve all cold cases is a task that is allowed because it benefits the human race.
To sum up the AI time machine, the virtual characters will create a perfect timeline of Earth. All knowledge, objects and events in the past and the future will be stored in the timeline. The user can access information in Earth’s timeline by inputting requests into the AI time machine. The AI time machine will extract the relevant data from the timeline and give the desired information to the user. Knowledge, facts from the past, future events, current data, tracking people, comparing events, doing research, solving complex problems and so forth can be input requests by the user.
The AI time machine is a technology that encases a lot of other technologies, including: atom manipulators, ghost machines, the signalless technology, the practical time machine, the autonomous prediction internet, and the universal prediction algorithm. The 7 tasks listed above is the accumulation of 23 books and 21 patent applications. In order to accomplish all 7 tasks, all information from these materials are included in the AI time machine, creating a united cohesive technology.
The AI time machine (a task engine) can search for information over the internet, do tasks for the user that require teams of virtual characters, do research, write a book, solve cases for the FBI, track people and places, predict the future or past, solve problems, do college assignments, write complex software programs, control dummy robots in a factory, control atom manipulators and so forth. The AI time machine has user interface functions that allow a user to type in text for a certain command and submit the request to the AI time machine. The AI time machine will generate the desired output as quickly as possible. Actually, the user interface functions can be anything. It can be a fillable form, a search box, voice commands, or visual gestures (or a combination of input media types).
The task engine that I mentioned on this page must be able to accomplish task1-task7. Building such a task engine would require a lot of programmers, as well as, money. I would say that in 2040 an AI time machine might be created to accomplish all 7 tasks (give or take 5 years). When and if this AI time machine is created and all 7 tasks can be accomplished, I hold the rights to this invention. Unfortunately, I’m not going to be the one to build this thing because I need lots of money and resources (which I don’t have). But I own the copyrights to these inventions and have the right to sue in court.
It’s not just the AI time machine I’m trying to protect, but a trinity of inventions. These inventions include: the universal artificial intelligence program, human robots, super intelligent robots, dynamic robots, psychic robots, the atom manipulator, ghost machines, the practical time machine, the signalless technology, hardwareless computers, hardwareless quantum computers, the universal CPU, force fields, laser guns, anti-gravity planes, anti-gravity cars, teleportation, targeted time travel, the perfect timeline of Earth’s past and future, intelligent weapons, invisibility and so forth. All these inventions hasn’t been invented yet and are subject to copyrights.
Intelligent nuclear weapons
The atomic bombs that were dropped in Hiroshima and Nagasaki in the early 1940’s killed over 500,000 people. An intelligent nuclear bomb is a bomb that destroys “targeted objects”. For example, if one of these bombs exploded in a city, every single object in the city will be disintegrated molecule-by-molecule. Every chain reaction of the bomb is monitored by an AI and no energy is wasted. If such a bomb exploded in a city, there won’t be any noise; there won’t be any fire or smoke. The city will simply turn to dust or disappear.
Intelligent nuclear bombs can be designed to destroy targeted objects. For example, the bomb is designed to destroy all objects in the city, but all living organisms, which include: human beings, animals, insects and bacteria are not harmed. When the intelligent nuclear bomb explodes, the environment of the city will be destroyed in the fastest time possible, but human beings and all living organisms will not be harmed. This nuclear bomb can also do the opposite, whereby living organisms are targeted, but the environment of the city is left unharmed.
The key is to calculate the future in terms of every chain reaction. If you look at how conventional nuclear bombs work, they explode chaotically.
While I was working on the atom manipulator I stumbled upon the universal CPU. This technology is a non-physical CPU that uses photon interactions (or object interactions) to generate Boolean algebra. The explosion of a small bomb has enough photon interactions that can process trillions of individual Boolean algebra. This means that the universal CPU can work exponentially faster than current CPUs. It is also non-physical and the ghost circuit gates can be modified to form any type of CPU. For example, the CPU can morph from a computer CPU to a graphics CPU or a hybrid CPU. This universal CPU can be used in a universal machine. If the universal machine turns into a car, the universal CPU will change to create a CPU that is optimal for a car. If the universal machine turns into a personal computer, the universal CPU will change to create a CPU that is optimal for a personal computer. If the universal machine turns into a videogame, the universal CPU will change to create a CPU that can run graphics quickly.
In November of 2010, DARPA -- a government agency assigned to advance technology, declared a competition. This competition is code named “the transformers project”. It includes building an autonomous hybrid machine that can fly in the sky and drive on the road. I assume that the competition was declared because there are no pre-existing AI software that can fly a plane and drive a car. By the way, flying a plane is a lot more complicated than driving a car.
What DARPA is trying to do is create an AI software that can play any videogame. The AI can play a driving game, therefore it can drive a real car. The AI can play a flying game, therefore it can fly a real plane. The AI can play Call of Duty, therefore it can control a robot soldier in the battlefield. This technology is actually called universal artificial intelligence because the AI is universal and it can be applied to any machine or groups of machines. A universal artificial intelligence program can fly a plane, drive a car, cook meals, solve complex problems, write a book, drive a motorcycle, drive a train, steer a boat and so forth.
I have described the universal artificial intelligence program (aka universal videogame program) starting from my first book, which was published in early 2006. The idea for the technology actually started in 1999 when I wanted to build a software program to play Mortal Kombat and StreetFighter2.
In the past, I have proposed many different types of universal artificial intelligence program. I proposed a virtual world where the robot (a virtual character) is controlling a videogame to control a physical machine. The virtual world changes when using different physical machines.
Another idea was to build a dummy physical robot that has “limited” pathways to drive a car or fly an airplane or control any machine. The robot can download pathways for a specific type of machine. This idea is very useful because the robot can control any physical machine, even cars and planes that were built in the 1920’s. Instead of buying a new AI car or AI plane or AI truck, the physical robot can simply get into a car, operate it, get out of the car, get into a plane, operate it and get out of the plane. These dummy robots work very well in sewing factories. They can mass produce clothing by using many different sewing machines. They can work in a team like manner to accomplish sewing tasks. A group of dummy robots can cut out the fabrics and give the fabrics to another group of dummy robots, which are responsible for sewing the parts together. Finally, another group of dummy robots will add the finishing touches to the clothing such as nailing buttons, cutting excess strings, ironing the clothing and packaging the clothing to be shipped to department stores.
Yet, another idea is to create teams of virtual characters that work together to operate a complex machine. A tank, for example, require teams of virtual characters that has to work together in order to operate. In the AI tank is a user that gives commands and the AI has to accomplish his/her commands. The AI comprises a team of virtual characters that will take in commands from the user and to work together to accomplish each command. In the team, there is a captain, a shooter, a driver, and an intelligence officer. The captain will accept inputs given by the user and manage all tasks, by organizing and executing tasks. The captain serves as an operating system to make sure that tasks are executed efficiently based on military rules. For example, the user might give several commands, such as: “drive to base1, check my email account and watch out for enemy ambush”. The captain will plot out a route to base1 and give this information to the driver so that he can drive the tank to base1. Next, the captain will open the user’s email account using a web browser and check for new emails. The new emails will be sent to the user for viewing. The next thing the captain will do is tell the intelligence officer to use sensing devices and satellite data to look out for any enemies. During the tanks travel to base1, if there is an ambush, the AI tank will take control of the tank (without the users permission) to steer the tank to safety.
During an ambush, the captain will lock out any commands given by the user. Its primary responsibility is to make sure the AI tank gets to safety in the safest way possible. The first step is to predict the future for both, the enemies and the team’s future actions. Each future prediction of enemy activities will be combined with a team’s actions. Each future prediction will be tested in a virtual world to see their distant outcome. The AI tank will select the best possible future prediction.
What about rules for each virtual character? Each virtual character has human level intelligence. The rules and goals of each virtual character are based on common knowledge learned in books and military school. For example, if the shooter sees several enemies trying to throw grenades at the AI tank, the shooter will fire at the enemies, without the captain’s permission because according to military rules, if the shooter determines that an enemy is endangering the AI tank, he should shoot without asking for permission. If the enemy is holding a child as hostage, the shooter might ask the captain for permission to shoot.
If you watch Star Trek, a team is needed to operate the ship and each position has their set of roles, rules to follow and powers. The AI tank is no different.
The AI tank doesn’t use real virtual characters, executing during runtime, to operate the tank. The AI actually extracts virtual character pathways from the universal brain and tricks these pathways in a virtual world in order to control the AI tank. The training of the AI tank requires real virtual characters that take in inputs from a user, manage commands, and control the tank. These virtual character pathways are stored in the universal brain for usage by the AI tank.
A more complex machine is an entire starship. In Star Wars, they have these large imperial starships that have thousands of workers. These workers include: captains, shooters, intelligence officers, engineers, pilots, lieutenants, maintenance workers and so forth. In order to build an autonomous starship, teams of virtual characters are structured hierarchically to give commands. A series of captains might be responsible for the actions of the starship. Each worker is responsible for following orders from their hierarchical chain of command. For example, the shooter follows orders from a first officer, the first officer follows orders from a lieutenant and the lieutenant follows orders from the captains.
In order for the starship to be autonomous, a user is commanding the starship. He will input commands into the AI starship and the captains have to manage and accomplish each command based on military rules. For example, there are things that the user can and can’t do. If the user gave the command to attack an innocent planet, the AI of the starship, will do research before this command is executed. The captains might identify the user and determine his rank. Next, they will follow military rules of attacking an innocent planet and what constitute as right and wrong.
If the captains determine that the user is breaking military rules, it will not follow the command. However, if the captains determine that, for some reason the command is justifiable, they will execute the command.
Yet, another type of universal artificial intelligence program is a machine that transforms. In Transformers there is a robot called six-shot and he is able to change into 6 different machines. He can change into a: robot, a gun, a ship, a tank, a lion, and a fortress. The idea for this transforming machine is an extension from the last example. The captain is always the same for all 6 machines. The captain is responsible for managing tasks and to give commands to individual workers. However, as the machine transforms, the individual workers are replaced with other workers that specialize in that machine. For example, if the machine is a tank, the captain is in charge of 5 individual workers specialized in operating the tank. The captain knows exactly how to command these individual workers to operate the tank. If the machine transforms into a plane, the captain remains the same, but the individual workers are replaced with 8 different workers that specialize in operating the plane. The captain learned in military school how to operate 6 different machines, so when the machine changes from a tank to a plane, the captain still knows what to do and what workers are needed.
In conclusion, I have outlined several different types of universal artificial intelligence programs that I have proposed in my earlier books.
These universal machines will break the United State’s economy
A universal machine is an AI software that can fly a plane, drive a car, drive a motorcycle, drive a truck, steer a boat, etc. What does this have to do with the United State’s economy? If cars can drive by themselves, that means there is no need for taxi drivers, or people issuing licenses, or police officers giving driving tickets, or driving teachers, or truck drivers, or garbage collectors, or construction workers. The unemployment rate as of today (2010), is at 9.6 percent. When autonomous cars are commercially sold, the unemployment rate will rise to 20-30 percent.
What is even worst is that the same technology to control a car can be advanced and used to fly an airplane or cook meals in a restaurant or do surgery on patients. This would put doctors, cooks, pilots, construction workers, and nurses out of work. The unemployment rate will rise to 40-50 percent (if the public embraces the technology).
Even worst than that is the further advancement of the technology (called human level artificial intelligence) to replace: computer scientists, engineers, lawyers, researches, artists, architects, scientists and so forth.
The Dow and Nasdaq will probably slide into a deep recession when investors realize that the unemployment rate will never be lowered. With many people out of work, it’s going to be about the rich getting richer and the poor getting poorer.
This technology will cripple the United States economy. If you look at China, factories are filled with human workers that do tasks 24/7. This is why mass producing products in China is soo cheap. However, if technology companies can build machines that can do the same tasks, but 100 times faster, then that means human workers are no longer needed in factories. This will cripple the Chinese economy, as well as, the United States economy.
I’m telling the public this because they have a right to know, before hand, what will happen to the world. Congress and the president keep assuring the people that the unemployment rate will be at pre-recession levels in the next 3-4 years. Pre-recession unemployment rate is 5 percent. Are you kidding me!! The goal of artificial intelligence is to build software and robots that can replace human workers. This means that as time passes the unemployment rate will rise sharply. The reason why the unemployment rate is at 9.6 percent today (2010) is because the technology companies haven’t succeeded in building and commercially selling universal machines yet.
4th dimensional computers
Finally, the last part of my 23rd book will be describing the 4th dimensional computer. The 4-d computer is more powerful than the practical time machine and is considered the last technology the human race will ever build. It is very difficult to build a 4-d computer. The human race can spend zillions of years trying to build a 4-d computer, but they are simply not smart enough. Only super intelligent robots, working in a hierarchical manner, can build a 4-d computer. There is no guarantee that these super intelligent robots will succeed in building a 4-d computer or how long it might take.
In book 18 I try to describe what a 4-d computer is and how it works. Most of the material is based on theory and nothing is concrete. In my 23rd book, I try to shift from theory to practical application. I describe the data structures of the 4-d computer and use math models to prove that it works the way it supposed to.
Book23: Universal prediction algorithm using dynamic robots and 4th dimensional computers.
Book22: Universal CPU and hardwareless computer systems
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