Single cells can learn things.

In some visions, the DNA pair or the protein pair can used to create the photons or acoustic bubbles between them. Then quantum computer can use those bubbles to make the quantum entanglement. That means the DNA or protein can be used as tools for acoustic qubit systems. But when we see that single cells can learn things we are facing an interesting thing. 

If that learning process is based on pressure that kind of acoustic system can be used to program cells. In some visions, the acoustic systems can control cells. 

Things like slime mold are things that show that the brains and neurons are not required in the learning process. And now researchers found that even individual cells learn things. That allows for improved medical research. The system can teach cells to find and terminate non-wanted cells. 

That allows creating. The control systems for nanorobots. The ability to learn. Makes it possible to create cells that operate as miniature robots. Those systems can clean the blood vessels from waste. 

This is one of the biggest breakthroughs in the research that can revolutionize nanotechnology and many other things. A short time ago. Researchers found that the neurons are not only cells that can store memories. Other tissue types participate in that process. 

Researchers noticed that the nervous system in the kidneys and nerve tissue cells can learn things. That thing can be a breakthrough for restoring brain damage. But the thing. That the single cells can learn. Is the key. To open new dimensions to the learning of other species. 

The big question in evolution is this. When did the species start to learn? Do things like amoebas and vegetables learn? The slime mold can learn things. So, can amoeba or some bacteria learn things cognitively? Those new findings can also make it possible to find out how things like bugs learn how to avoid their predators. And that can make it possible to create new ways to destroy harmful insects. Or program things. Like mosquitos to avoid malaria. 

The cell can store its memories in the DNA double helix or the protein helix structures. That thing makes a big advance in nano- and biotechnology. If researchers can crack this process. They can teach cells to deny things like virus entrance to the cells. The viruses can otherwise reprogram cells and make them make new things. 

The ability to teach cells will give new ways to fight against cancer. If cells include cognitive skills. The system can program them by using signals that the cell uses to learn. DNA-based learning is the thing. That requires the ability to change the DNA from those cells. That reprograms cells. 

https://scitechdaily.com/mind-blowing-discovery-scientists-discover-that-memories-are-not-only-in-the-brain/

https://scitechdaily.com/single-cells-can-learn-a-revolutionary-discovery-in-biology/

How much can AI affect our genomes?

In this text, I will not write about genetic engineering. I will write about the non-purpose processing of our genetic and environmental backgrounds. 

AI and evolution are the things that cause interesting ideas. The big question is: can AI and the internet affect evolution? And the answer is that those things are already affecting evolution. When we think about things like dating services. People search for people who are like themselves. The problem is simple. Similar types of people search for dates on the net. 

We know that DNA has some kind of role in people's behavior. And things like lifestyle are made by society. So our lifestyle and behavior are made by two major groups of abilities and features. Some of those abilities and features are hereditary. And some of them are formed by the environment and society. 

If people want to make dates through the internet. They must fill out the form. And that is the point where the AI affects our genomes. Because people search for similar people as they are, that thing causes segregation and the accumulation of certain genomes. 

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When we select our spouses from the group there people have similar behavior as we have, and we advance things like segregation. In the same way, we can say that our behavior is the sum of hereditary and environmental things. If we only meet people who are similar to us. 

That makes our environment homogenous. We don't hear things that we don't want to hear. And that advances the segregation. That causes. Also a situation. Where we hear only similar opinions that we have. That advance makes our visions thinner than ever before. 

That destroys real discussions and the possibility. To see other points of view. Things are also governed by. We see only things that we can create ourselves. And that means. We cannot even get other opinions to our discussions. 

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Genetic material and environment affect people's behavior. That means we choose people who have the same economic background and similar genomes. That is the thing that can affect the entire human population. 

The net allows us to make dates all over the world. And the AI is an effective tool to make the match with people who use the net. That means those people are more effective in producing descendants. Than people. Who search for their spouse from the local bar. 

The AI can search for people who have similar hobbies, favorite food, and other similar hobbies and work. That means. If the system gets ordered the person wants a spouse who plays some musical instruments. And the thing is that the algorithm can use the form and other information that it gets to select the perfect mate. The system can search things like the musical AI-experts from the net, and then offer them dates. The form that a person can feed can be similar to that used in animal breeding. 

The same methods can used with humans. When we use things like normal test-tube fertilization. There is always the possibility to select gemmates using a similar method. That the network dating tool uses. When it selects people whose dates are successful. In those cases, the system will not use things like genetic engineering. It uses the method. That has been a long time used in horse breeding. AI can affect us and our descendant's genomes in purpose or without purpose. 

The fact is that. AI can increase segregation when people select similar spouses and friends. As they are. The internet is the tool that can make us more isolated than ever. That is the sad thing. That destroys real discussion and helps us to select information narrower than ever before. Because those algorithms select our mates from the net using variables that make sure that our dates please us that makes it possible for us to hear and see only things that we can accept. That might look comfortable. But that destroys our ability to hear and see other choices. 

When the most advanced tool becomes the enemy of advance.

Why...

Above this text is the image that is not made by using AI. I took that image yesterday evening. That thing required a little bit of trouble and time. Walking into that point, taking my cell phone, and taking that picture took time. When I looked at that picture I realized why people use AI in many things. AI offers easy things to get the job done. That easy tool allows people to make thousands of lines of code in minutes. 

That is possible if the person uses some code libraries. And that makes a person effective. But that thing is not good for advancement and innovation. Also, that way of making programs is not good for data security. If some hackers get those code libraries that allow them to break the systems those codes are used. 

We know that thing. But we ever ask why person makes that thing? Why does that person use libraries and copy-paste? Why that person uses code, that somebody gave to the hard disk? The answer is this something forces a person to make things like that. The nice, well-done code in the hard disk makes work effective. And we can say that generative AI, large LLM, or whatever we call that thing is only to those libraries. 

We can be effective and always use that method to make things. That can make an impression. But then we can say that this method doesn't allow us to advance our programming skills. And that means the AI kills productivity and skills. But is the AI guilty? 

Do we bark the wrong tree? Should we prosecute the need to be effective for that thing? People use AI and code libraries because they have no time to learn things. People are so hurry, that they have no time to learn things. And if they make mistakes they are fired. That forces people to use AI. 

The biggest problem with algorithms is they use existing information. They don't call any telescopes or particle accelerators to create experiments that they can produce new things. They just seek existing information and reorder it. If we start to use AI more and more to become effective we are facing situations in which we don't get new innovations. 

New innovations are things that make the world more advanced. But when we make innovation. We process thought into the product. Without thought is not innovation. Because our mind is to bind to memories we are in trouble with new things.  That means we should create a mind that is not dependent on memories. But that thing is not very easy to make. Almost everything that we make is bound to memories. 

Algorithms do not create things. They just connect existent data into new entirety. And the question is this: do we let ourselves turn into the AI's? Mechanical minds can search existing information but cannot create anything new. 

If we don't let people innovate that means that we will not create new things. Innovations require time and space. And that thing is not a thing that fits into the idea of productivity and effectiveness. 

Algorithms are tools that make many things faster than humans. That is the reason why we use them. The question is always this: do we someday make algorithms that rule people? When we make things by using algorithms we can find an easy way to make things. Algorithms make our lives easier. They search for things from databases. Then, AI can make many things better than we can. We are afraid. That AI helps people to make things. 

Like fake doctoral theses. We are always afraid of that. People lose their creativity when they use AI. We ever ask why we leave our work to the AI. We see that things happen, never asking "why"? 

The problem with the algorithm is that AIs don't make anything new.  They just collect information from the networks. AIs build new entireties using information. That already exists. And that is the problem with AI. The problem is that the system requires effective working. During working days people don't cheer programmers and other people to make new decisions. The requirement for effectiveness is the thing that destroys creativity and advancement. 

People are afraid of remote working because it destroys innovation. But how many hours in week do we use for innovations? Do we really make innovations in our offices? Or do we just read newspapers and reports and make things that have been made 1000 times before? 

Many people think. That innovation is the case, where one person talks and the other listens. The problem with innovation and creativity is that people are afraid of failure. Failure is somehow a non-accepted thing, and that means we make many times things that we made many times before. 

Because. People are afraid of things like grammar mistakes they think that they must let the AI make their texts. Programmers are afraid of mistakes.  Fixing mistakes steals their and other worker's working time. That is the reason why the working environment forces people to use AI. And that is the best way to destroy productive thinking and innovation. 

The AI makes people look like effective. But that system uses only existing information. That is the limit of the AI. Even if we want to make images using AI, we must give orders to it. The AI is like the drawing program that follows orders that we give. That allows us to create new worlds. But that thing doesn't advance our painting skills. 

The memory makes humans effective. Imagination is the thing that connects memory bites together new way. That allows us to create new things. Memories and the connections with existing memories are the things that limit the imagination. The requirement for innovation is an idea, that doesn't come from emptiness. 

Memories are stored in our memory cells. When we use imagination we just reorder those things that we can call memory pixels into the new entirety. Those things are like puzzles that we can reorder. 

The big advance would be the mind. That is not connected with memory. The memory-independent mind is something that we cannot imagine. We use memories to create new entities. And it's hard to even imagine a tool that doesn't use memories. That thing is the tool that can make the next step for innovations and society. 

Can the photon itself be the origin of dark energy?

"AI-generated representation of an accreting supermassive black hole, surrounded by gas spiraling toward it along the equatorial plane (the accretion disk) and emitting powerful winds of matter as it falls in. This representation is based on a NASA’s artist’s concept that illustrates a supermassive black hole with millions to billions of times the mass of our sun. Credit: Emanuela Tortosa, edited" (ScitechDaily, Supermassive Black Holes Defy Physics to Become Cosmic Titans)

Dark matter and dark energy mysteries are heavily entangled with each other. Maybe supernovas, black holes, and new images of photons can solve another of those two mysteries. It's possible. That the photons are the source of dark energy. The ring-shaped structure means that energy that hits the ring travels into the middle of it. And maybe that thing is the source of the mysterious wave movement that rips the universe into pieces. 

If we think that black holes can turn all photons around it into one direction that causes a situation where the photons send the small energy string away from the black hole. And the other energy pike travels to the black hole. We know that photons can store energy that expands their size. That means the black hole's energy may expand the photon so much, that it can close the black hole in it. 

That means the photon can form a ring around the black hole. The model is that the photon is like a skyrmion. And that means it can turn so large. That it can form a ring around supermassive objects. If a photon can form that ring it can pump lots of energy into the black hole. But that is not sure. 

"A new theory, that explains how light and matter interact at the quantum level has enabled researchers to define for the first time the precise shape of a single photon. Credit: Dr. Benjamin Yuen" (ScitechDaily, Quantum Leap: Scientists Reveal the Shape of a Single Photon for the First Time)

Black holes. And especially supermassive black holes defy physics. The thing is that the black hole pulls wave movement and particles into it. Even if we see the black hole as the stoned object those monsters oscillate all the time. 

That thing means that they could make the same thing to gravity fields as time crystals make to electromagnetic wave movement. The black hole pulls energy fields into it. And some of those energy fields start other orbit the event horizon. When strings that form in the photons hit those fields they cause oscillation that we see as gravitational waves. 

The problem with dark energy and the dark gravity effect is that. There is something that causes gravity waves and quantum fields to move. The movement of those things is the thing that we see as gravity and dark energy waves. The problem with dark energy is that nobody knows its origin. 

"Detecting axions via gamma rays from a supernova could unlock the secrets of dark matter, with UC Berkeley researchers pushing for advanced telescopes to ensure we don’t miss this fleeting opportunity. Credit: SciTechDaily.com" (ScitechDaily, A Nearby Supernova Could Finally Solve the Dark Matter Puzzle)

In some models, dark energy is the thing that forms when a gravity wave collapses. The idea is that the gravity wave is the energy ditch or lower energy area that travels in the Higgs field. If a gravity wave faces some other energy wave that energy wave can fall into the energy ditch or gravity wave. And that thing makes the energy impulse through space and time. 

But then we can think of things like supernovas as the things that can confirm the weakly interacting massive particles, WIMP's existence. The major question is always can the WIMP exists, and the other thing is that. Can regular, or visible material turn into the WIMP? 

The model is that when the energy travels out from the material elementary particles can turn flat. And it's possible that those flat particles can rotate around its axle. That turns the WIMP look like a twisted rag. When energy fields hit those particles they form the energy vacuum or energy shadow around that particle. The quantum fields start to travel into that bubble when the distance of the object is far enough. The WIMP is a theoretical object. 

Things like supernova explosions that happen near Earth can uncover the mystery. But it's possible that we must wait for Betelgeuse to explode as a supernova before we can make those observations. 

https://scitechdaily.com/a-nearby-supernova-could-finally-solve-the-dark-matter-puzzle/

https://scitechdaily.com/quantum-leap-scientists-reveal-the-shape-of-a-single-photon-for-the-first-time/

https://scitechdaily.com/supermassive-black-holes-defy-physics-to-become-cosmic-titans/