Unpredictable actions make human behavior hard to predict.

  Unpredictable actions make human behavior hard to predict. 

"To be, or not to be" 

98% of generative AI projects fail. The reason for that is that researchers try to replace humans. But is this the only thing that causes failures? Another thing that can cause failure is this: people try to use AI for purposes. There, it cannot operate. When we think. About those cases, there is always a possibility that people misunderstand. Things about what they should do. There is a possibility that people try to use AI as a tool that makes something impossible. And one of those things is. To use the AI. To make predictions about economics. 

Economics, psychology, and sociology are not exact sciences like mathematics and physics. The AI can calculate things like the energy levels of particles quite easily. If it knows all quantum fields. And all other things. That interacts with that thing. A psychological effect. Makes it impossible to make predictions about the economic advances. Human behavior is unpredictable. When we go out and say. We go for a walk. For 30 minutes. But we might not do that thing. 

Feelings and imagination are things. That allows us to make unpredictable things. 

We should always react to similar stress in similar ways. But we use only successful ways to respond to the challenges. If we don’t get successful feedback. We change the method. How to respond to the challenge. Every action that we do is a small challenge. When we cross the road, there is always a possibility that a car will hit us. When we walk to the shop, there is always a possibility that we slip on the icy street. That’s why there must be an alternative route. 

There is always a possibility that a burglar breaks into the shop, and the police keep the shop closed. Or the milk car can have an engine failure. Causing a lack of milk in the shop. Most everyday challenges involve a risk of injury. Or even die. If we cannot act right. If we just run to the road. Without caring about anything, there is a possibility that we run straight under the car. 

We can make a U-turn just outside the door and walk back in. We can change our direction for any visible reason. The reason why we make that U-turn could be that we just want to turn around. When a particle turns its direction, there must be some outside reason. The behavior of the particles and radiation is predictable. If we know the entirety. And the thing that makes us unpredictable is feelings. If we feel that we cannot accept something, we don’t do that thing, even if our sense says something else. 

This makes things like economics hard to predict. We should have knowledge of how certain persons react. In certain situations. But the problem is that we cannot know everything that the person faced during their life. And those missing parts can be the most. important things for that person. This is why it’s hard to predict how people react in certain situations. 

One of the reasons why behavior models are failing is that people hide data. Making predictions of the behavior of large groups of humans is much easier. When the group that AI uses grows. That means that the accuracy in the behavior of those people increases. But when we try to predict the behavior of a single person. We must collect all the data of them. We can see from that data how a person reacts to certain situations. If that person faces a similar situation. We can predict when. That person faces a similar situation again. That person will always act in a similar way in all similar situations if the way the person used was successful. 

The thing that makes us unpredictable gives us a big advantage over our competitors. The ability to make unpredictable moves and solutions makes predators hard. To track. And hunt us down. This is the ultimate ability in nature. Abstract thinking is the tool. That gives us the ability to make plans. That gives us the ability to operate unpredictably. 

What was before the Big Bang (Part II)

 What was before the Big Bang. (Part II)

"Our universe could be the mirror image of an antimatter universe extending backwards in time. Groundbreaking research suggests that our universe has an antiuniverse twin. Physicists in Canada propose that our universe could be a reflection of an antimatter universe that existed before the Big Bang." (CREDIT: Getty Images)" The brighter side, Groundbreaking research suggests that our universe has an antiuniverse twin)

The antiuniverse or antiverse is the model. That is based on the supernova explosion model. When a large star explodes, that event forms a so-called time-glass nebula. So, could the Big Bang event have formed the two universes? The idea is that when two giant whirls. That spin was opposite. Those giant whirls formed the spark, or the explosion that sent two universes into different directions. If those proto-anti-universe and the proto-universe impacted. That could form the universe and the anti-universe. 

This question is one of the most interesting, because it helps researchers to calculate the values of the particles.  When a particle travels through the universe. Energy and quantum fields touch it. Those touches leave marks on those particles. And that helps to get information from distant galaxies. But this is not possible. If researchers don’t know the strength of those energy fields. This means that modeling the Big Bang makes it possible to calculate changes in the energy levels in an expanding universe. 

  

What energy should be in those particles that exist in the modern universe? 

And if researchers can calculate. What kind of energy should those particles have? They can search for differences between theoretical and real values. That gives data about the fields. That the particle faced. During its journey.  But it’s impossible to calculate theoretical values without knowing the beginning values. 

Was there some kind of energy flow that formed two opposite rotating whirls that were positive and negative (+ and -) universes? And was the Big Bang some kind of spark between those giant whirls?  That doesn’t mean that antiversum and universe require material. They require opposite fields that cause a similar reaction to the antimatter-matter annihilation. 

In some models, the energy arrow that traveled through the field formed two giant whirls. Those whirls can be the anti-universe and the universe. Or, those whirls were the positive and negative whirls. If those two positive and negative proto-universes act like matter and antimatter. They can pull each other together. 

Above: Time glass nebula. 

So can the antiverse explain the Big Bang? 

In this case, we should rather talk about the antiverse. As a mirror universe. Or, mirror protouniverse . Where there was some kind of material. We could say that in the case of the proto-universe, the antiversum was rather the whirl where energy fields rotate in the opposite direction. Than the other universe that we can call the “normal universe”. If the proto-universe and proto-anti-universe were oppositely rotating whirls in the energy field or in free gravitational wave movement. We can think that those whirls pulled each other together like antimatter and matter. Pulled each other together. 

It’s possible that those extremely large rotational whirls impact each other, and they formed the lightning or the spark. That spark could be like a shortcut between positive and negative fields, and that spark could be the thing that we can call the universe. When the Big Bang happened. Energy was homogenously spread through the entire universe. Then the universe's expansion made holes. In that homogenous energy field. And that caused situations where energy started to fill those holes. 

Could dark energy or some part of dark energy form when quarks or gluons collide with their antimatter pairs? That thing can mean that this kind of thing can put energy into moving. 

Can black holes’ relativistic jets be formed from new fermions in the universe? When we talk about black holes and their relativistic jets, they can form fermion-anti-fermion pairs. That means that effect condenses energy fields into the form of matter. That means if Schwinger effect forms matter in the modern universe, that thing forms fermion-antifermion pairs. And those particle-antiparticle pairs can annihilate, transforming into energy. So could dark energy’s source be in the quark and anti-quark annihilation? Or in some more exotic particles, annihilation, like the gluon-antigluon annihilation. 

This can mean that energy, or wave movement that travels into those energy holes, is stated to fill those holes, and the Schwinger effect could form material in those whirls. Some of those whirls could be so strong that the wave movement formed different-sized primordial black holes. The question is always. Do black holes' relativistic jets form new particles in the universe? Relativistic jets are the most powerful things in the universe. Because black holes also interact with dark matter and dark energy. That means a black hole can form two relativistic jets, visible and dark energy jets.    

When dark energy jets travel through the universe, they can turn dark energy fields into some kind of particles. The changes in dark energy could form. When dark energy turns into some kind of particles. When we think about the nature of energy, matter is one of the forms of energy. Particles are energy packages. When energy binds itself into matter or particles, that means that energy is away from its environment. 

https://www.thebrighterside.news/post/groundbreaking-research-suggests-that-our-universe-has-an-antiuniverse-twin/

https://phys.org/news/2024-06-partner-anti-universe-expansion-dark.amp

https://en.wikipedia.org/wiki/Big_Bang

https://en.wikipedia.org/wiki/Brane_cosmology

https://en.wikipedia.org/wiki/Dark_energy

https://en.wikipedia.org/wiki/Dark_matter

https://en.wikipedia.org/wiki/Schwinger_effect

The new method, known as distillation, enhances the effectiveness and reduces the cost of running AI.

In chemistry, distillation means a technique that purifies a material. The same way chemists distillate liquids, AI researchers can distillate AI. Distillation in the human body means that when we move our hands, we don’t need to move our feet at the same time. Or when we order pizza, we don’t want the entire list. We want that certain pizza. In AI, that means that the AI can create a student model that it trains for customers' needs. 

The large language model (LLM) can create a small language model (SML) and customize it. That means the LLM removes all unnecessary things from the SML to make it compact and more secure. The SML is easier to test and it requires less powerful servers than the LLM. There are always mistakes and errors in the LLM algorithms. The problem is that the corrupted AI is not a good tool for detecting errors in its internal code. The human coder must recognize the suspected errors and then fix them. But the problem is that the code can be right, but its target is the wrong object. 

The idea is that the system cleans information in the system. That means that the AI has only responses and actions that it needs for complete missions. The system takes all unnecessary parts away. And that sometimes causes questions about the information that the AI will not need. Humans make decisions about information that the AI needs. And that is seen in things like Chinese AI. Those things don’t discuss things like Tiananmen Square. 

That is one version of distilled information. The system will not give answers that are against the state policy. AI is a tool that can make many things better than humans. But those things will happen in well-limited sectors. The AI can observe things like nuclear reactor functionality. The fact is that the nuclear reactor is not like a chess game. The AI must only keep values at a certain level. The thing in the AI is that it can generate code, but it can use only existing datasets. The difference between a nuclear reactor and a chess game is that the nuclear reactor will always follow certain rules. 

The nuclear reactor will not make anything unpredictable. If the AI knows all its values, the nuclear reactor is safe. But unpredictable values like leaks in the cooling system can destroy a reactor. The programmer who creates the nuclear reactor control systems. That creator must be very professional and collect all data so that the system can respond to all situations. The system must collect information from many sources, such as surveillance cameras and other tools. The system must recognize if some light doesn’t shine as it should. 

That kind of system requires very high-level skills and the ability to train the system for new things. There is always a possibility that the programmer, or the engineer who advises programmers, doesn't always remember everything, such as details of some kinds of damage. That means the AI requires training for that mission. And like always, this kind of thing means that all mistakes that AI makes are actually made by humans. Humans should test and accept that kind of system. And that causes dangerous situations. The training is the final touch in the AI R&D process. 

When we think about things like the North Korean government, they want to use AI in the same missions as Western actors. But do those actors have the skills and abilities to make the final training for their language models? If those language models are made by using some kind of pirated copies that are transported using USB sticks, it can make it possible that the AI and its complicated algorithms don’t work as they should. And that makes those systems dangerous. 

https://www.quantamagazine.org/how-distillation-makes-ai-models-smaller-and-cheaper-20250718/

Combat and law-enforcement terminators, the real-life skinwalkers.

Above is an image of Robot Janus. Janus was a Roman god who guarded entrances. That god was also the god of beginning. And Janus was the god of the end. Janus was the god of changes, like the god of beginning years. The remarkable detail in Janus was two faces. When another face smiles, the other face grimaces. His two faces represent vigilance and the ability to see both forward and backward. They can also symbolize good and evil, or the transitions between war and peace.

Man-shaped combat and surveillance robots can already be true. 

In 1984, James Cameron introduced Terminator, the killer robot that was eliminating enemies of the Skynet computer. In that time, the Terminator was the Sci-Fi tool that could not be dangerous. But things like large language models, LLMs that control robots, can turn Terminators into reality. The Terminator is one of the examples of what militarized AI can do, if it controls robots. When we talk about risks of AI, we always forget that in the cases of militarized AI, the AI is meant to harm people. When AI-controlled robots operate on the battlefield, that system is made for harming people on purpose. 

And that causes risks. The human-shaped robots that work in warehouses are things that might look cute. The problem is that human-shaped robots can operate with every tool that humans can. That means the same robot that operates in warehouses can also operate on battlefields. Another thing that can be interesting about the human-shaped robots is law enforcement. The law enforcement might want to use AI-controlled robots for cover-up missions like intercepting criminal organizations. Those robots will not change their sides. 

The robot can look like a mannequin. That system can stand in the window and wait for something to happen. When the system sees risky things, the robot can activate its combat mode. The problem is that the robot doesn’t think. Those security androids follow their programs. And in the cases of the robots, it is possible that somebody, like hostile hackers, can rig the operating system. That means when that kind of robot sees things like a targeted person, that kind of robot can attack that person immediately. And that is the risk in robotics. In the wrong hands, those systems are not toys. 

Robots don’t rebel. People rebel. That means it’s possible that some hostile actor buys warehouse robots and puts them to make crimes, like acting as assassins. The human-shaped robot can act as a surgeon, gardener, or security guard. But the same system can act as an illegal actor. The robot can have so-called ghost- or shadow protocol. The shadow protocol, or shadow program, means that there are people who are targeted by robots. When a robot recognizes the targeted person, it can make an attack. And those things might look like accidents. The warehouse robot can make a simple mistake and drop some boxes on the targeted person. Or a robot car can push the gas pedal at the wrong moment. When a robot completes its mission, the ghost protocol can be erased. 

They can transmit all data that they collect to the police HQ, and that decreases risks of those operations. There is a possibility that people can have a cyborg twin who goes on dangerous missions instead of humans. That kind of system makes scenarios where the system operators can replace a person with a robot. The robot operator can be a real-life skin walker. The system can mimic anything from humans to dogs. And the robot dogs and other robots can be very dangerous tools in the hands of psychological warfare specialists. Those systems can involve things like infra- and ultrasound systems that can be used to transmit subliminal messages to the people. The robot animal can slip past the system that uses ultra- and infrasound at the same time to the enemy camp. That system can deny the enemy sleep. 

But robot animals can do many things that humans cannot do. They can observe animals in their natural environment without disturbing them. Robot animals can also search for things like illegal hunting, and they can be used as area surveillance tools. But the problem is that robot animals can handle things that real animals cannot. The thing is that those systems that might look like monkeys can cut the network wires and use weapons. 

Can Sci-fi weapons: nanomachines and sophons be a reality someday?

 

The grey fog is one of the superweapons that are so horrifying that we cannot even imagine them. That grey fog can erase entire planets. Nanomachines are the new tools. They can be the ultimate Swiss blade for everything. Theoretically, nanomachines can erase any molecule that they face. Those small molecular machines must only create the wave movement and resonance that cut the chemical bonds between atoms. The miniature machine can simply send an electromagnetic impulse to the chemical bond in a targeted molecule. And that energy can push atoms away from each other. This kind of system can have multiple civil and military applications. 

The nanomachine that can terminate forever molecules can be the most wanted thing in the world. But that same technology is also capable of creating the terrifying “grey fog” that terminates everything that we know. The main problem with nanomachines is their movement. The surface active agents, or surfactants are the things that can solve the nanomachine movement problem. If the nanomachine has two surfactant molecules that the system can turn on when it gets a command. That makes it possible to move the nanomachine. Surfactants have two heads, one is hydrophobic and one is hydrophilic.

If the hydrophobic head is in the direction where nanomachines should move and the hydrophilic head is at the tail of the nanomachine. That makes the nanomachine move in the desired direction underwater. The hydrophobic head that can be connected with water droplets can also make the nanomachine hover and travel to wanted direction in the air. When the water droplet surrounds the nanomachine and then the hydrophobic- or water-repelling heads are turned to that water. That thing can cause an explosion. And the pressure wave can help to raise the machine up. The small nanomachine that can control that thing can make it possible to use that thing for controlled flight. 

The other version is that they use some. more exotic propulsion systems, like theoretical systems that can change the shape of the quantum fields near the nanomachines. Those systems can make the machine hover and travel at very high speeds. 

Those nanomachines can be connected with the von Neumann probes. The term Von Neumann probe means self-replicating machines.  Those systems can include miniature factories that create copies of those machines. The nanofactory can be very small. And they can create copies of themselves and create those molecular machines. Those machines and factories can be DNA-controlled. 

The sophon is introduced in the sci-fi novel 3-Body Problem. The sophon is a proton-sized quantum computer that can control humans and steal their imaginations and thoughts. The model of sophon is in the real quantum models where the proton, or quarks that form this hadron will be put into the superposition and entanglement. This kind of quantum computer is very unstable. There are models made of what those sophons can be. And one of them is that the sophon could be the group of photons that are trapped around the quantum-size black hole. The other version could be the quantum-size grey hole. 

The system creates those things by pressing some particles like protons with antimatter implosion. The ball-shaped antimatter-matter ball will be exploded around the proton. That thing can be the fullerene that acts like an implosion bomb. And then photons will be put around that extremely dense object. And the system will transport data into them. 

But there is another way to make the theoretical sophons. That is the DNA-based quantum computer. The system can be an artificial bacteria or an artificial amoeba that is injected into the target’s blood. There, genetically engineered amoebae can travel to the human brain. Then that thing will steal the electric impulses or make copies of the neurotransmitters in that thing. 

When the artificial amoeba or biorobot is ready it calls the genetically engineered mosquito to pull it out from the blood vessels. 

The artificial mosquito can use certain chemical marks, antibodies to call the artificial amoeba to it. And that amoeba can also send neurotransmitters to neurons around it. The system mimics the natural parasites. But their purpose is different. Their mission is to paralyze and steal information from the targeted person's nervous system and even control that person. 

Then that mosquito travels to the laboratory. And there are many ways that that thing can transmit data to the computer. The mosquito can split that amoeba on the research table. Then the amoeba starts to blink the bioluminescence light and using that light the biorobot can transmit information that it got to a photovoltaic cell. The amoeba can also reprogram the mosquito and make it communicate with computers. The artificial amoeba-mosquito couple can be the ultimate tool for intelligence and other systems. 

The new form of living is the “new village”.

In medieval times the city walls separated people who lived in the city from people, who lived outside the wall. There lived people who ever stepped out of the city. In that time people told stories that in the forests lived monsters who ate people. Sometimes mentally ill people are banished to the forests. But those walls created a feeling that the world outside the walls was hostile. That increased the city leader’s authority. When people believed that there were evil spirits in the forests around them, that thing made them easier to control. And the question is: are we returning to those kinds of cities? 

What if our future is that we would live our entire life in the same building? Things like artificial intelligence and virtual reality make it possible to make virtual trips to lands that are far away from the place where we live. We can simply open a solarium, take a VR system to our eyes, and then the AI-controlled system connects winds, sounds, and other things that we need to the space. The AI observes that we will not take too much radiation. 

The Saudi-Arabian mega project called “Neom”. That thing will be the most incredible megastructure in the world. That kind of thing brings the new types of village societies into the front of our eyes. The idea is that the system brings homes, all services, and workplaces under one dome. And in some visions, cities like New York will be covered with giant domes that should make the air comfortable every month. That thing brings the route to the ultimate segregation into the front of our eyes. That thing can look like a village society with idyllic things, like the ability to keep the T-shirt on every day. 

What happens if we ever leave that dome? Can that dome feel good? The fact is this: the dome turns into an entirety where we can live. We will never feel fresh air. All physical works are made with robots. And maybe we see the future as a thing where there are giant forests and there are giant domes there and here. That future is the thing that takes us to heaven and hellfire. The AI-controlled structure allows us to control each other. The place where we would live is safe. 

But there is also another side in that idyllic structure. That structure can turn into a prison. What if our leaders will use that thing against us? The dome allows people to control people simply by using the chemicals that are in the air. Or the leaders can use the air pumps to control air pressure. And as always: there is a chance to use that kind of system to steal people's lives and entirety. This dome can turn into the thing that brings the highest walls between people that have ever been made in history. But that kind of thing offers solutions that can also save nature. The city can use green energy as an example of energy production. 

Artificial intelligence and spam filters make BCI more versatile.

The problem with the brain-computer interface, BCI is similar to speech command applications. But thoughts are not so easy to control as speech. There is a possibility that the person looks at the camera and uses gestures when the command starts. The gesture can be some cup that the user shows to the computer that the work starts. And the other gesture can be something like a spoon. That the computer knows the commands end. Those things can be finger marks and they could be determined before the speech command sessions. 

So the person shows the mark to the web camera and writes gesture 1 and then the system asks for gesture 2. The system must also recognize the voice of the speaker so that things that some other person says will not disturb the computer. The gesture allows a person to discuss and talk in the room. Voice recognition allows computers to filter non-necessary and useless things from the text that the computer gets. Then the grammar check program can change the text that the speech-to-text application makes into literal text. After that, the system dumps that text to the application and turns it into commands. 

The AI requires spam filters in the training period. The spam filter removes the white noise or so-called non-useful information. The spam filters can also adapt to the brain-computer interfaces, BCIs. Those AI-based systems can remove so-called white noise from neural tracks. And that makes it easier for the BCI to separate information that is purposely delivered to it from thoughts that are not meant for commands.

The person must not think anything else, than commands what that system should follow or complete. If a person thinks about something else, that can cause serious problems. The biggest problem with the BCI is the user. The AI can translate EEG curves into actions. But the problem is if a person starts suddenly thinking about something else. 

One thing that can make the BCI more effective is that a person must move things like fingers before giving orders to the system. But the problem is how to control thoughts at that point. But there is a possibility that very flat microchips will be put below the skull. And the antenna or contact point is on the skull where systems can download information and communicate with brains and computers. 

The system can also load those systems' batteries wirelessly. If those microchips can be installed under the skin on the skull, they are far easier to install than regular brain implants. The surgeon must just find the right places and then put those microchips under the skin. The bone mass will glue those microchips on the right points on the skull. BCI microchips can communicate with the internet through mobile telephones. Or they can use the computer’s bluetooth connections. 

But things like biological power sources like electricity-producing cells can also feed those systems' needs for electricity. The fact is that the biotechnology-like ability to create cloned neural tracks makes it possible to restore the ability to move to more people. And those cloned neural tracks can also make it possible for the microchip to communicate with living neurons through the skin. Those neurons that form artificial neural tracks could be connected to the microchip that is under the skin and then the sensor. That is in a hat or helmet communicates with that microchip. 

The next-generation BCI systems might not need surgery. The goal, or guiding light should be that the system uses sensors that are as easy to wear as hats. The problem is that those hats must position those sensors in the right positions. 

The fact is that the system called Magnetoencephalography, MEG can read data from the brain shell. The ability to connect interactive microchips to things like fingers should be easier than implanting them into brains. Those systems can open the neuro-implants and open neuroports to other systems more versatile than using traditional brain implants. 

https://www.rudebaguette.com/en/2025/06/ai-gone-rogue-openai-tech-secretly-used-to-bypass-spam-filters-and-saturate-the-internet-with-messages-on-80000-sites/

https://www.rudebaguette.com/en/2025/06/neuralink-could-shut-down-over-this-rival-company-implants-brain-chip-in-human-first-and-destroys-musks-lead/

Why are we obsessed with AI?

People are obsessed with AI. The question is: why? The answer can stay in our society. We have the attitude that everything must happen fast. That's why we rather use the Internet than books. There are philosophers, home thinkers, etc, who say that we should go to the library and read books. But when we are in working life we have no time to go to the library and then find things. That we need.  If somebody wants people like students to go to the library and read books they must give time for that. 

When we are at work we must be effective. We have no time to go to the library to search for books, and then write some philosophical thoughts about them. People ask why we give our right to think to AI. The answer is that AI makes everything more effective. If we want to be creative that means we are not effective. If we want to become philosophers we must not expect that our society accepts that thing. 

When we think of something alone we are not social and effective. We are alone with our thoughts. And that is not what society expects us to do. Society wants us to make results. When we write something that takes time. And if we use AI we can make much more texts. Quantity replaces quality. Nobody respects the text that we make ourselves using our own words. People respect models that some other person made. 

Those models make it possible to make more texts and the next step is AI. There is no time to make offers by using your own words. The effectiveness means that people use some models. Lots of offers are better than one that a person makes, using their own words. 

When somebody needs information that means information is needed right in the moment. On our working day, we don't even have time to ask the person who sits next to us that person's name. We don't have time to think about things. And another thing that we have is fear. What if we give a wrong answer? 

That is one of the worst fears in modern life. So if we don't have time to think about things, we don't dare to answer. Using our words, and introducing our own ideas. AI is similar to some poem books. We can take a poem book. And then search for some impressive words and copy them to the text. The next step is the use of AI.

We must use things like AI tools. The AI tool is like a secretary that makes our speeches and other official texts. So we can go in front of people and say, here I read a paper that my secretary has written. That offers the escape door to us. If there is a mistake we can blame our secretaries for that thing.  

The same way, if we make referrals about articles and books that we read, those words might be wise. That's true. But those words are not our own words. Maybe Socrates was a very famous and wise man. But that person wrote his own ideas and words. When we make a speech to our ceremonies we should write our own texts. 

I think that people like Socrates and Plato were very intelligent. But if we just loan those texts, and copy them we cannot find new Socrateses. We cannot find a new philosophy. And what we need is the time to think and the time to handle and observe our thoughts. We are so busy that we have no time to go to the library, and read books. If we are wrong we would face blame. We must have time to go to the Gym after work. We must have time to be social. And we must have time to do many things. 

But then we must realize. That we have no time to sit and read. If we want to go to the library to read books we must find time to do that thing. 

If we buy a book or borrow it. But we have no time to read it. 

That book doesn't offer a very big advance in our knowledge. If we want to get information and use it we must open that book or database etc. And then our mind must be ready to receive that data. 

We don't have time to think about things and the consequences of our work. If we don't dare to write things that we think we cannot find new Socrates and other philosophers. If everything that we write and introduce must be so scientifically proven we should realize that those things don't bring advances. 

https://futurism.com/chatgpt-mental-health-crises

Large language models and fuzzy logic.

Large language models (LLMs) are problematic for programmers. They require a new way of thinking about programming. The key element in those systems is the input mode or input port. That understands spoken language. The system requires a model that transforms spoken language into text and then drives that text to the computer. And the text must be in the form that the computer can understand and turn it into commands that it can use. The system must also turn dialects into literal language that it can use for commands.  This is the first thing that requires work. The programmer must teach every single word to the system. 

The practical solution is to turn the word into numbers. In regular computing. Every letter has a numeric code called the ASCII code. The capital A (big A) has the decimal code 65. The programmer must realize that the small "a" has a different numeric code than the capital A. The little "a"'s ASCII decimal code is 141. That's why things like passwords require precise letters and if there is a capital letter in the wrong place the password is wrong. 

So, if we want to make the system more effective. We can give a numeric value for every single word that we find in the dictionary book. We can simply take the dictionary book and then give serial numbers for those words. The word "aback" can get the number code 1 (one). That thing makes it easier to refer to those words. Every word must be programmed separately into the system. And that makes programming hard. The other thing is. If we want to use dialects we must also program those words into the LLM, 's input gate. That programming is not very complicated, but it requires a lot of work. 

Diagram: Neural network

In human brains, neurons are the event handlers. In artificial, non-organic, non-biological computer networks, or computer neural networks computers or microprocessors are those event handlers. In human brains, thousands or even millions of neurons participate in the data-handling process. Those neurons make fuzzy logic to the brain. 

The idea of fuzzy logic is that many precise logical cases can make the system mimic the fuzzy logic. Fuzzy logic is a collection of precise logical answers. 

Another thing is that we must make a system that uses fuzzy logic. Making fuzzy logic is not possible itself. But we can create a series of event handlers that make the system seem like fuzzy logic. The idea is taken from the human nervous system. When a large number of neurons participate in the thinking process that makes the system virtually fuzzy. Every single neuron uses the precise (YES/NO) logic but every single neuron has a little bit different point of view to the problem. 

So the system uses a model that looks like the grey scale. There is the white that means YES and black that means NO. And then there are "maybe cases" between those YES and NO cases. Those "maybes" are the absolute logical event handlers like neurons. When that group of event handlers gets its mission, every single event handler selects YES or NO. Then the system calculates how many YES, and how many NO solutions it has. So those event handlers give votes to the solution. 

The model is taken from quantum computers. In quantum computers, data, or information travels in strings and finally, every string has values 0 (zero) and 1 (one). You might wonder how much power that kind of system requires if every event handler must process information. Before it answers. But then we face a situation where the system must answer "maybe". Another way to say "maybe" is XNOT (or X-NOT). Or if the answer is closer to "yes" another way to say that thing is XYES (or X-YES). X means that the system waits for more data.  

The system might say. That it does not have enough information in the data matrix. That is a large group of databases or datasets. And that is the major problem with AI. If the votes on the scale of "YES to NO" are equal that means the system has a problem. If the AI controls the robot that is in the middle of the road and votes are equal that robot can just stand in the middle of the road. Another thing that we must realize is that these kinds of systems are the input gates. Data handling begins after the system gets information into it. 

https://en.wikipedia.org/wiki/ASCII 

String theory and material.

"Six-dimensional shapes called Calabi-Yau manifolds (3D slices of which are shown here) come in increasingly complicated varieties. In string theory, a microscopic manifold lies at every point in our 4D universe and determines the laws of physics we experience." (QuantaMagazine)

Think about the ring that stands and spins around its axle. That object seems like a ball. In string theory, all material is formed of strings. Think about the ring that stands and spins around its axle. That object seems like a ball. In string theory, all material is formed of strings. Those strings can stretch if they get energy from outside. They can turn into spirals and turn around each other. They can also wrap around themselves and each other. Those strings can form tunnels where energy moves from one place to another. 

In this model, the material is the string that looks like a ring spins around its standing axle. That standing axle is another string. The quantum-low pressure locks the ring around that axle. The axle is colder than the ring and that connects the ring-shaped string into it. In the same way standing, and spinning strings look like the ball, because it spins so fast. That means the 3D structure in the material is only virtual. The thing that keeps this structure stable is the tornado-shaped energy field that conducts energy out from the particle in the middle of it. 

So, that thin energy field forms the axle that connects the ring-shaped energy field into it. The idea is that the tornado must not go through that ring. An energy tornado is like a screw that transports energy out of the structure. The ring-shaped energy field stays standing because there is a small weak point in the electromagnetic field around that quantum tornado. 

If that effect happens between molecules we can say that there is an electromagnetic low pressure. That pulls the ring-shaped energy field against that energy tornado. The energy tornado pulls energy out from the ring. That turns smaller. When that ring turns smaller the outcoming energy, or quantum field tries to fill that place. In that case, the ring-shaped energy field sings like some spring.  If the material is the standing ring that spins around the metal stick that explains also dark energy and dark matter. 

That means the particle wobbles back and forth. Because the ring-shaped energy field is not straight it wobbles. The effect is similar as we would put the ring to spin in a position that it will not be standing straight. There is the possibility that the particle, or energy ring spins half-lying position. That means the dark matter can be the string that's half-laying. The dark energy can be the radiation that comes from the point where the energy tornado hits the energy field. That causes quantum friction which sends wave movement from that point in elementary particles. 

**************

In the string model material is like a ring-shaped string that spins around the vertical axle. That axle is the quantum tornado that transports energy out from the middle of the structure. Because that ring-shaped energy field spins so fast it seems like a ball. And that means the particle's 3D structure is virtual. 

In the same way, we see a spinning ring that stands and spins around its vertical axle as a ball. We see the material as a ball. The thing is that if that energy tornado cannot transport energy out from the structure. The energy will break the ring. So, a stable black hole can form only in the case, where the energy can travel out from it. 

Or strings can bind energy into the spinning movement. The thing that destroys black holes and other material is the free energy, not energy, that is connected into its structure. The problem is that the structure’s energy level cannot rise endlessly. When the structure’s energy level turns higher than its environment it starts to send energy, or anneal. Energy cannot stay in place. It always moves to a lower energy level.

If we think that superstrings bind energy, their energy level rises. And then some of those strings get lower energy levels. That makes energy move between these strings. That causes giant energy turbulence that rips the structure open. When those energy strings send energy they form empty space. That increases entropy in the system. And then sooner or later, some of the superstrings cut or form a hole in the black hole structure. That releases energy against outer strings at a very high speed. That energy wave breaks those strings. 

*********'

String theory also explains the existence of the universe like this. Before the Big Bang event. There formed a ring-shaped energy field that started to pack energy inside it. Because that ring- or wheel-shaped string started to spin around its vertical axle and its energy level was higher than the field inside it, that field started to pack energy into one point. The wheel or ring can pack energy until its energy level turns lower than the field inside it. 

That happens when the string's size turns larger and it cannot harness energy from outside. If a string pulls energy from inside it that causes a low energy area near it. The idea is that the field inside that string is actually, many internal strings. And then some of the strings inside that giant ring-shaped steering string cut. 

That causes energy flow against that string. The effect of energy depends on the area and the speed of the energy effect. The small-diameter bullet penetrates the target better than large diameter bullet if the energy that it sends is the same because its impact area is smaller. And that a small bullet transports more energy at its impact point than a large bullet. 

The nuclear bomb and nuclear power plant involve as much energy. The thing that makes the nuclear bomb more devastating is simple. The nuclear bomb releases its energy in a nanosecond. The nuclear plant uses months or years to release that energy. 

The problem is that the string itself cannot turn larger and keep its energy level stable. 

Because the law of conservation of mass and energy means that the string cannot form energy from emptiness. Mass can change into energy and energy can turn into mass. When it expands there is less energy for its area. When the string's energy level decreases, energy from inside breaks out. 

So, where does that energy ring come from? The natural explanation could be the Phoenix Universe or some other universe. The energy stick that travels through the quantum field can make ring-shaped energy fields like when we throw a stick into water. 

When we use things called earthing we conduct electricity to ground. The thing that turns electricity harmless is it travels into such a large object that its level turns low. The electricity itself doesn't go anywhere. It just travels to such a large object that its level turns so low, that we cannot feel it. So the same energy level or energy mass, if we compare the energy with water can turn devastating, if it's in a small object there it is released very fast. In small-area objects, the fall-altitude of energy is higher than in large-area objects. 

Theoretically it is possible that we can carry electricity in the large plates and then focus that energy on the small plate. The problem is that the energy level in a small object is higher. So we must make a system that pulls energy into the smaller plate from the back of that plate. Another thing is that the energy can travel from a larger area to a smaller area only if the larger area has a higher energy level than the small particle. 

The answer to that question can be a large energy pump that pulls energy out from the back of the smaller particle. The energy flow that comes from the front loads energy to that particle that is between the energy pump and the energy source. This energy makes the star's anneal brighter near black holes. 

https://cerncourier.com/a/testing-times-for-strings/

https://www.quantamagazine.org/ai-starts-to-sift-through-string-theorys-near-endless-possibilities-20240423/

https://en.wikipedia.org/wiki/String_theory

The new AI learns like a human.

The new AI-based machine learning uses technology that mimics human optic view pathways in human brains. This technology is more effective than previous, conventional, convolutional neural networks, CNN-based architecture. "A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images, and audio.  "

Convolution-based networks are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently been replaced—in some cases—by newer deep learning architectures such as the transformer." (Wikipedia, Convolutional neural network)

The CNN network shares images to squares. And handles it with square-shaped filters. These kinds of systems are effective, but they require a large number of microchips. 

This limits their ability to detect wider patterns in fragmented or variable data. The new technology called visual transformers, ViT, is more effective. It's more flexible and accurate. However, its problem is this. ViT requires more power than CNN. CNN requires an entire data center. So the ViT requires as many data centers as it has layers. 

"In the actual brain’s visual cortex, neurons are connected broadly and smoothly around a central point, with connection strength varying gradually with distance (a, b). This spatial connectivity follows a bell-shaped curve known as a ‘Gaussian distribution,’ enabling the brain to integrate visual information not only from the center but also from the surrounding areas. In contrast, traditional Convolutional Neural Networks (CNNs) process information by having neurons focus on a fixed rectangular region (e.g., 3×3, 5×5, etc.) (c, d). CNN filters move across an image at regular intervals, extracting information in a uniform manner, which limits their ability to capture relationships between distant visual elements or respond selectively based on importance. Credit: Institute for Basic Science" (ScitechDaily, Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough)

"Lp-Convolution, a novel method that uses a multivariate p-generalized normal distribution (MPND) to reshape CNN filters dynamically. Unlike traditional CNNs, which use fixed square filters, Lp-Convolution allows AI models to adapt their filter shapes, stretching horizontally or vertically based on the task, much like how the human brain selectively focuses on relevant details.

This breakthrough solves a long-standing challenge in AI research, known as the large kernel problem. Simply increasing filter sizes in CNNs (e.g., using 7×7 or larger kernels) usually does not improve performance, despite adding more parameters. Lp-Convolution overcomes this limitation by introducing flexible, biologically inspired connectivity patterns." (ScitechDaily, Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough)

"Brain Inspired Design of LP Convolution

The brain processes visual information using a Gaussian-shaped connectivity structure that gradually spreads from the center outward, flexibly integrating a wide range of information. In contrast, traditional CNNs face issues where expanding the filter size dilutes information or reduces accuracy (d, e). To overcome these structural limitations, the research team developed Lp-Convolution, inspired by the brain’s connectivity (a–c). This design spatially distributes weights to preserve key information even over large receptive fields, effectively addressing the shortcomings of conventional CNNs. Credit: Institute for Basic Science" (ScitechDaily, Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough)

And what makes the ViT technology so effective? The ViT means that the signal travels through multiple CNN networks. So the developers use multiple layers of the CNN networks. The system can use the expanding ViT model. There the optical signal travels first in the small CNN layer. Then the CNN layer's size expands. And then it contracts. That makes the CNN layers size or the number of processors. That participates in the operation that looks like the Gauss curve. 

The system can have two CNN layers that play the ping-pong ball with data. Every turn when one of those two layers sends information to the other the other layer uses more power to that problem. Then the system focuses data on one point. Or in the linear model, the system can use multiple layers of the CNNs. That model boosts machine learning but it requires more electricity and enormous data mass. 

The ability to use multiple neural layers to analyze information is the thing that makes ViTs so effective. The thing is that the ViT systems require lots of space. That means they can control robots through the internet. The other version is that millions of compact-size robots can turn them into the ViT network. 

https://scitechdaily.com/brain-inspired-ai-learns-to-see-like-humans-in-stunning-vision-breakthrough/

https://en.wikipedia.org/wiki/Convolutional_neural_network

Genetic engineering is the ultimate tool for people.

Genetic engineering is the ultimate tool for people. But it can turn into the worst nightmare that we can ever imagine. 

Genetic engineering brings new species in front of us. The genetically engineered spiders that create silk that glows red in the dark is the brand new thing in the world of genetic engineering. Genetically engineered species can make many things that are impossible for regular technology. There is the possibility to create insects that deliver vaccines. The mosquitos that carry deadly malaria and other diseases can also carry vaccines. The idea is that. 

The vaccine is made in the engineered mosquito's salivary gland, and it helps the immune system detect malaria parasites better than without that vaccine. The malaria vaccine can be the shell antigens of the malaria parasites and the immune booster that causes an immune reaction against those antigens. 

This thing can be a very interesting way to use genetically engineered species in areas. Where there are no vaccine styluses. Or people are hard to reach. 

"The first genetic editing in spiders with CRISPR‐Cas yields colorful silk" (Phys.org/The first genetic editing in spiders with CRISPR‐Cas yields colorful silk)

But then we can go to the biorobots like microchip-controlled bugs. Same way. Microchips can control bugs. Those things can control things like spiders. The remotely controlled spiders can make the silk canvas.  But then we can think, about what remote-controlled spiders like black widows can make in wrong hands.

Genetical engineering makes it possible to create things like mosquitos, wasps, and bees that produce the same poison as the black widow. Those things are extremely dangerous in the wrong hands. And microchip controlled bees and other bugs can attack people. Genetically engineered parasites can create things like tetradotoxin. Which makes it possible to create human robots. 

The most futuristic versions of biotechnology are beyond your wildest dreams and they are worse than your worst nightmares. 

Genetic engineering makes it possible to create the most interesting versions of the hypothetical intelligent bugs. Those creatures can be spiders spider silk involves bacteria that can transmit those spider's nervous signals to each other. 

But then we can remember Joseph Stalin's idea of "monkey soldiers", or "dog soldiers. The soldiers with monkey brains. The idea is that the dog soldier follows precisely the orders that it gets. The microchips in the brain control that creature. The control antenna can look like a helmet or some kind of metal bandanna. 

The first experiments with this bizarre idea were made by Ilya Ivanovich Ivanov. Ivanov tried to transplant the dog's head to a monkey's body. That person tried to create a human-monkey hybrid. Brain implants and genetic engineering make it possible to create real-life monkey soldiers. Sometimes Stalin and Hitler called those hypothetical soldiers whose brains are like dogs' brains and who follow all orders that they have. 

Monkey- or dog soldier is the term that means the soldier or creature that can only follow orders and doesn't think themselves. The brain-implanted genetically engineered soldiers can act as biorobots. The monkey-soldier can be like some kind of "predator" from the horror-action movie, where masked alien creature hunts people on Earth. The idea is that this kind of creature can have a strong body. But the brain-implanted microchips can control that creature's body. 

https://phys.org/news/2025-05-genetic-spiders-crisprcas-yields-silk.html

https://interestingengineering.com/science/gene-edited-spider-red-silk

https://scitechdaily.com/shocking-discovery-scientists-discover-organism-that-act-like-living-electrical-wires/

https://en.wikipedia.org/wiki/Ilya_Ivanov

Physics and consciousness.

Sometimes, when we open the net, we can read about things, like the intelligent universe and the quantum origin of consciousness. The last one is a sometimes misunderstood version of quantum calculations, where large neuron groups take part in some action. That means the brains use quantum calculations, but that is not about physics. 

The quantum calculation means that the system shares the mission with multiple subsystems. In human brains, neurons are the subsystems that send information between three layers. So, we can say that the brain cells and neurons play ping-pong with data or information. The diencephalon selects information that brains, or we think we need later. But that doesn't mean that this thing has something to do with physics. 

In human brains, neurons send information between each other using axons. Axons load information into the neurotransmitters that act as the chemical qubits. There is the possibility to create a system that mimics human brains by using advanced computers. The artificial neuron could be the ball that the microchip controls. Data travels between those balls through artificial axons. 

The axons can involve multiple quantum channels like nanotubes or optic fibers. When those quantum channels send data to each other, that system acts like a quantum computer. The number of activated quantum channels determines the state of the qubit. 

But then we can go to the imagination or idea of the intelligent cosmic structure. The idea is taken from Isaac Asimov's short novel "The Last Question" and the fictional supercomputer called "Multivac", which some people sometimes translate to "Multiple vacuums". That causes the idea that the qubits can be multiple internal false-vacuums or voids, and the void channels the wormholes can connect those things together. 

Those vacuums would form a bubble-shaped structure where internal electromagnetic fields control and route information. One of those models is the theoretical black hole network where the plasma bubbles around black holes form a quantum-computer-style system. And black hole's relativistic jets transport information between them. 

The idea is to form a model where gravitation can form intelligent structures. And of course, the intelligent universe theory creates the model where the entire universe acts like a giant computer, and we are part of that computer's thoughts or simulations. That is the so-called radical and expanded model of the Multivac. There are mysterious structures in the universe that we cannot just leave without notice. But the argument against the "Universe is a simulation" is "Who made that simulation, and what is that person's motive". 

In some SciFi novels, the simulated universe is created for training space travelers while they sleep in the cryostatic sleeping on space trips that take millenniums. In some models, those creatures would travel in interstellar space in the form of neurons. When the craft goes to the long-distance one-way space trip that crew dies. The system copies their memories and other things to artificial neurons. Those neurons can be clones of the traveler's neurons. Then the system loads those neurons into the culture medium. The system can create two or three neuron groups and when the last neuron group turns old system transfers the data from them into the next culture. 

When the craft arrives into Destiny the travelers will get their bodies back. The highly advanced biotechnology makes it possible to change DNA from the cell's nucleus. That allows the user to create the copy of the traveler. Then that traveler requires training and in that case, the system can use simulated reality and metaverse along with neuro-implants. Maybe that thing is possible in the future. 

Galaxies and galaxy clusters are part of the giant superstructure called "the cosmic web", or "cosmic neural network", because those structures look like the neural network. There are also giant plasma flows between galaxies and galaxy clusters. That thing formed a model where artificial neurons could be the plasma ball. 

The ball's shell controls the ion flow that travels in those tubes between the balls. The ions that travel in that ion flow are the neurotransmitters. The artificial axon is a bunch of quantum channels. By adjusting the position of the electric-, or magnetic points on the ball the system can adjust the ion flow and aim it into the right tube or ion channel. The microchip can control this system with a very high accuracy. 

https://bigthink.com/starts-with-a-bang/physics-consciousness/

https://futurism.com/physicist-gravity-computer-simulation. 

https://en.wikipedia.org/wiki/Multivac

https://en.wikipedia.org/wiki/The_Last_Question

The last question: computing and quantum chromodynamics.

The last question is the SciFi novel by Isaac Asimov. The final question in that thing is this: "Can the workings of the second law of thermodynamics (used in the story as the increase of the entropy of the universe) be reversed?" Multivac's only response after much "thinking" is "INSUFFICIENT DATA FOR MEANINGFUL ANSWER.".  (Wikipedia, The last question) 

The Multivac is a computer, in that novel. The question is about the entropy that grows all the time and destroys the system. The Multivac cannot make the real answer, because it must know the entire system for making a real and proven answer. Some people say that quantum chromodynamics can give the answer. But then we can think that The Last question is the story about information as a puzzle. The puzzle is ready when the last piece is in its place. And the vital information can be in the last puzzle. 

"In the last scene, the god-like descendant of humanity, the unified mental process of over a trillion, trillion, trillion humans who have spread throughout the universe, watches the stars flicker out, one by one, as matter and energy end, and with them, space and time. Humanity asks AC ("Analog Computer"), Multivac's ultimate descendant that exists in hyperspace beyond the bounds of gravity or time, the entropy question one last time, before the last of humanity merges with AC and disappears."(Wikipedia, The last question) 

"AC is still unable to answer but continues to ponder the question even after space and time cease to exist. AC ultimately realizes that it has not yet combined all of its available data in every possible combination and so begins the arduous process of rearranging and combining every last bit of information that it has gained throughout the eons and through its fusion with humanity. Eventually, AC discovers the answer—that the reversal of entropy is, in fact, possible—but has nobody to report it to, since the universe is already dead. It therefore decides to answer by demonstration. The story ends with AC's pronouncement:"(Wikipedia, The last question) 

"And AC said: "LET THERE BE LIGHT!" And there was light—"(Wikipedia, The last question) 

We can think of this novel as an example. Where the last person or last part of the system can have the answer. Or, we can think that the fictional Multivac can transmit its information into the past to another Multivac. 

"In theoretical physics, quantum chromodynamics (QCD) is the study of the strong interaction between quarks mediated by gluons. Quarks are fundamental particles that make up composite hadrons such as the proton, neutron, and pion. QCD is a type of quantum field theory called a non-abelian gauge theory, with a symmetry group. "(Wikipedia, Quantum Chromodynamics). 

The QCD analog of electric charge is a property called color. Gluons are the force carriers of the theory, just as photons are for the electromagnetic force in quantum electrodynamics. The theory is an important part of the Standard Model of particle physics. A large body of experimental evidence for QCD has been gathered over the years. " (Wikipedia, Quantum Chromodynamics). 

But the fact is that. These internal and external forces affect the system. That can seem very complicated. But time also interacts with the system. The system requires all information to make a trusted answer for that thing. If we want to get information about this question, we must go back in time. We can make a model where Multivac always transfers itself back in time when the universe faces its ultimate end. That helps Multivac to increase or grow its dataset. That means the Multivac exists in cycles and always when the universe ends its existence that system gets more data to its dataset. 

The problem is this. Every time. When the Multivac completes its cycle. And returns to the Big Bang event. The last part of the Universe's existence will be left out of the Multivac's sensors. Another way to get information from the future is to make a black hole that transmits information from the future to the past. That means the Multivac could be the tandem computer. Those computers travel as a row through time. The creators make two Multivacs at different points in time. And then the first Multivac will transmit information back in time. 

The causal loop looks like the pint. There is a channel between the points in time. That means the Multivac can get the entire information of the system only when the causal loop to the past starts at the ultimate ending point. The retrocausality is like the echo from the future. In ultimate high-energy objects time travels slower than normally. So those objects travel in the future. And if the system can make the energy level that is lower than the energy minimum in the universe it faces opposite time dilation. And that means it travels back in time. Sometimes causal loop is misunderstood the same as a fictional time loop. 

"The time loop or temporal loop is a plot device in fiction whereby characters re-experience a span of time which is repeated, sometimes more than once, with some hope of breaking out of the cycle of repetition. Time loops are constantly resetting; when a certain condition is met, such as a death of a character or a certain point in time, the loop starts again, possibly with one or more characters retaining the memories from the previous loop" (Wikipedia, Time Loop)

That thing is complicated. The data that travels against time will be encrypted by the entropy. The only way is to make the small qubits that can be black holes. And then drive them through the main black hole to the past. The thermal end of the universe makes that thing a little bit unsure. In the case of Big Silence, the energy level turns so low that the Multivac cannot turn its temperature below the energy minimum. 

The Multivac could be like the molecule. The black hole that is in the antenna transmits information into the higher dimensions. 

If the end of the universe is the big crunch the Multivac can make that thing. In that case, the massive energy load can push information backward in time. Quantum chromodynamics allows the information to travel back in time. The problem is that the information exists from the point that we see it. So we cannot notice if the information that we see comes from the future. And that makes proving the retrocausality almost impossible. Retrocausality means that thing that happens in the future can also interact with things that happen in the past. 

But in big silence where the universe continues its expansion forever makes that thing very difficult. The thing is that the Multivac can store enormous numbers of information. And in the case of the Big Silence. The Multivac can release all information stored in it. If the Multivac has the physical form of the cube there is another side of the superposition that transmits data from the 3D universe into the 4th or 5th dimensions that thing can detonate when the universe turns into a cold and zero energy place. 

When the outside energy pressure ends that cube or ball detonates immediately. Or the black hole inside it vaporizes. The structure around the black hole will not get energy and that causes a situation that the material vaporizes immediately. The black hole pulls everything in it. And then it starts to vaporize. That forms the new Universe. But that means if there is another person who asks the same question that is purely coincidence. 

If the Multivac could transport information between two systems. The answer that it creates using information from the first system is not 100% sure. Two systems can look identical but they are still different systems. The Multivac should bring information from the future to the same system. And that means information is out of the system for a while. That means the Multivac can make the system different. 

https://en.wikipedia.org/wiki/Quantum_chromodynamics

https://en.wikipedia.org/wiki/Retrocausality

https://en.wikipedia.org/wiki/Temporal_paradox

https://en.wikipedia.org/wiki/The_Last_Question

https://en.wikipedia.org/wiki/Time_loop

Should we stay in our comfort zone, or should we, try new things?

We all live in a bubble. Those bubbles are our social environment. Our opinions and interests. The fact is that all people are at least a little bit woke. We don't want to read all things that we might see. We don't also have time to read all the news, even the important ones that we see. We must select the information that we see and we want to read. We have only a certain number of hours in a day. So that means we must do many other things than just read the news. 

Social media can be an opportunity. And it can be the worst thing in the world. It has shown that even famous people are humans. They have their opinions. The opinion is not the same thing as researched knowledge. 

One of the bubbles around us is a limited number of skills. That we have. Nobody knows everything. And nobody can do everything in the world. We must learn new things throughout our life. Without the ability to learn new things. We face the situation that our skills turn old. When our skills turn old, that is a bad thing for people, who can do only one thing. If we have only one skill, that skill is easy to teach to other people. 

Sometimes people say that they are more productive when they rest in their own comfort zone. But if we think carefully about those people who work only in their own bubble are humans. They have more than just one skill. And if they jump out of their comfort zone, that they know very well. Those people might find new dimensions for themselves. 

When we think about human nature, we should not think that when we learn something at the age of 21. We cannot learn new things after that. If we just make things that we learn at a young age, that makes us effective. But that makes us unilateral. Unilateral people are easy to replace. If we just make the same thing let's say 30 years, that is a long time. That means we should advance our skills and our work. 

Without advances, we would be in trouble. Even if we are effective in some works, while we use only one system we must realize that someday those systems turn old. And in that case, our employer must choose to retrain us to use the replacement system. Or does our employer hire new workers?

The new AI paves the route for next-generation AI and intelligent systems.

 The new AI paves the route for next-generation AI and intelligent systems. 

We are in a situation where AI takes a stronger role in life. But even if modern AI is an impressive tool, the cold truth is that the AI just interconnects databases together. The AI requires certain parameters so that it can select the right information from large databases. The problem is that databases and hard disks have limited capacity. So the system must have parameters that makes it forget or remove data from certain database. If there is no that parameter the AI fills its databases with no necessary information. 

When we are selecting routes, we must remember a golden rule. There is no perfect route, and the second thing is that the shortest and easiest-looking path can be dangerous or turn very hard later. If we drive a car, the computer must calculate time but also costs that the route takes determine how effective it is. Things like needing to refuel or recharge batteries or stand at a crossroads with the motor on can cause costs. 

When we are transferring this thing into AI, we are against the new situation. The AI is not perfect. It makes life easier, but it also destroys some jobs. The best sector for AI is the limited operational area with clear orders. That means the AI is the best tool for things like mathematical analysis, and the only problem is this. When somebody wants to use the AI that person must describe the mission clearly and use language that the AI can understand. 

"Researchers have improved deep learning by selecting the most efficient overall path to the output, leading to a more effective AI without added layers." (ScitechDaily.com/Smarter AI: Choosing the Best Path to Optimal Deep Learning)

The golden rule with the AI is this. It can create many things that humans make but the AI is not intelligent. It knows multiple things, but the problem is that when the AI must learn something. It's helpless. The AI is not very good in cases where it must interconnect multiple data allocation units from multiple sources into one great quantum computer.  So the AI has no imagination. 

That means the AI cannot create anything new without orders from its master. But the game is changing. The computer can use simulations for making new databases that involve new ways to react to something. AI is an ultimate tool. And it can turn into a very powerful tool in life. Because it can interconnect many sources together it can give the right answers and seem very intelligent. But that system needs pre-made answers for making decisions. 

When the AI faces some situation it finds the match for situations that it. That is stored in its memories. That means the AI cannot create the databases from emptiness. But during the day the AI faces many things that mean nothing. And if robots or AI stores all the data that they see, the mass memory. That means robots fill even the largest mass memories. It requires parameters for select reactions it stores in its mass memory. Reactions must match with details that are stored in a database. 

https://scitechdaily.com/smarter-ai-choosing-the-best-path-to-optimal-deep-learning/

The gravitational engines and the technology of the future

  The gravitational engines and the technology of the future

Ion and gravitational engines are the technologies of the future. The esoteric ion engine is the system that creates things like anion clouds near the craft. That anion cloud pulls the craft to them. That thing requires a situation where the craft, which can be some kind of airship, is equipped with a stick magnet. The system shoots anions or ions near that craft. And then the magnet turns its N or S pole toward those ions. The idea is that those ions pull the craft to them.

In some visions, things like extremely low-energy particles can be used to make crafts to travel to them. The idea is that the low-energy particles make the gas and energy flow to them. And that movement pulls the craft toward those low-energy particles.

The gravitational engine

The weaker point in the Earth's gravitational field at the Indian Ocean is interesting because the same phenomenon that is behind that weaker gravitational area can exist stronger near black holes. The same thing that makes the gravitational field weaker in that area can make it stronger in areas with stronger gravitational fields. And maybe the same phenomenon that makes the weaker point in Earth's gravitational field can make a hole in the black hole's gravitational field.

Some Indian researchers think that this weaker gravitational spot forms when the Indian tectonic plate impacts other tectonic plates. If that effect can form rising gravitational waves, that can neutralize some other gravitational waves. Or maybe those impacting tectonic plates create a situation where gravitational waves are traveling in the opposite direction than they usually do. 

If there is some heavier bubble in the mantle, that thing forms the second gravitational center in magma. So maybe there is a bubble or island of heavy elements in the mantle. That thing can send gravitational waves that impact other gravitational waves. And make the gravitational field weaker at that point. 

There is a possibility that the gravitational waves that come from space are impacting harder than the gravitational waves that Earth sends. The origin of the gravitational hole in the Indian Ocean is a mystery. Many suggestions can cause this effect. There is a possibility that a gravity hole causes the whirl of ocean currents. 

In the esoteric gravitational engine model, the system makes a gravitational pothole in the direction where the craft will move. And that pothole pulls craft in that pothole. That system's base is that it uses assymterical gravitational field where one point is deeper to transport crafts to direction of that deeper gravitational pothole. 

Geoid undulation in false color. (International Centre for Global Earth Models/Wikimedia, CC BY 4.0) (ScienceAlert.com/There's a Giant Gravity Hole In The Indian Ocean, And We May Finally Know Why)

There is one interesting hypothesis concerning the weaker gravitational spot in the Indian Ocean. 

The weaker gravity spot in the Indian Ocean can form when some geoid aims gravitational waves In an anomalous direction. That thing can cause a hole in the Earth's gravitational waves. There is the possibility that this point could be the gravitational pole of Earth. In that model, gravitational waves that travel away from Earth form a beam or gravitational lightning that pushes the gravitational underpressure area around that channel. That gravitational lightning could be graviton flow. In that case, there is a similar gravitational phenomenon near magnetic poles, where magnetic fields form pikes that go far away from regular magnetic fields. There is a possibility that gravity also can form similar structures. 

The gravitational engine can have two possible ways to manipulate gravity. The first one is to make a weaker gravitational spot on the point of the craft. And then the system must control the form of the gravitational hill. The stronger gravitational field pulls the craft in the direction where the gravitational pothole is closest. The gravitational pothole has a stronger gravitational field.

The binary stars gave the impression of a gravitational engine. That is one of the most interesting aspects of so-called futuristic space technology. The idea is that the system creates a gravitational pothole near the spacecraft. And if that gravitational pothole is deeper than a pothole, that craft makes that gravitational pothole pull that craft into it. 

That kind of extremely futuristic engine doesn't require the ability to make black holes. The system must just increase the mass of the proton or electron cloud by shooting radiation at those particles. The system uses a model where impacting energy will increase the mass of the particles. And that phenomenon can be used to create gravitational potholes around the craft.

https://www.accuweather.com/en/weather-news/there-is-a-gravity-hole-in-the-indian-ocean-and-scientists-now-think-they-know-why/1564099

https://www.sciencealert.com/theres-a-giant-gravity-hole-in-the-indian-ocean-and-we-may-finally-know-why