Is weak blood flow the thing behind dementia?

"This cover image depicts a human brain with colorful microplastic particles scattered across its surface, juxtaposed with a white plastic spoon as a visual representation. Research has revealed that the human brain contains approximately “a spoon’s worth” of microplastics and nanoplastics, with particularly high concentrations (3-5 times greater) in individuals with dementia. The multicolored particles shown on the brain surface represent the variety of plastic types detected, with polyethylene being predominant. The image illustrates the concerning 50% increase in microplastic concentration observed between 2016 and 2024, highlighting the rapid infiltration of these synthetic materials into our most protected organ. Credit: Genomic Press" (ScitechDaily, Scientists Discover Alarming Amount of Microplastics in Your Brain – And It Could Be Fueling Depression and Dementia)

"A groundbreaking set of four papers in the May issue of Brain Medicine brings together growing evidence that microplastics from ultra-processed foods may be building up in human brains and possibly playing a role in the global rise of depression, dementia, and other mental health disorders." (ScitechDaily, Scientists Discover Alarming Amount of Microplastics in Your Brain – And It Could Be Fueling Depression and Dementia)

There are lots of microplastics in dementia patients' brains. There must be something that causes microplastic accumulation in human brains. And there is a possibility. That is the same thing that causes dangerous protein accumulation in human brains. If microplastics go into the cell, that thing can cause a situation where those particles start to resonate. That resonance can cause pressure waves in cells. 

There is also the possibility that microplastics, along with some proteins, can go through axonal holes. If there are some other particles. And proteins that accumulate between axons. That denies the neurotransmitter’s ability to travel between axons and neurons. 

There is a possibility that the microplastic accumulation in dementia patients' brains is caused by: 

1) Anatomic disorders in the human brain’s blood vessels. Or something else that can cause slow blood flow in those blood vessels. If things like nutrients have no access to brains and neurons, that makes those cells weaker than usual. 

There is a possibility that the coronary artery disease-type things can cause dementia. But is that something in the blood vessels or the lymphatic system? 

2) There is also a possibility that the disorder can be in the lymphatic system. That means the lymphatic system cannot, for some reason, transport those microplastics and proteins out from the brain. 

And the primary question is, are those microplastics the reason for dementia? Or are they symptoms of the thing that causes Alzheimer's? Are the blood vessels of the dementia patient’s brain just rougher than a person's blood vessels that have no dementia? The slight inner shell of blood vessels will not collect proteins, lipids, and microplastics in blood vessels. There is a possibility that the blood flow is slower in those patients' brains. 

And that collects dirt into the veins. If the blood flow in human brains is very slow, there is a possibility that this thing collects dirt, like proteins, into those blood vessels. One possibility is that the reason for dementia is that the brain's blood vessels are so stiff that they cannot remove those particles from the brain.

 And that can cause an induction conclusion. Are the blood vessels in dementia patients’ brains similarly crammed as the coronary arteries have narrowed in coronary artery disease? There is a possibility that those crammed veins are in the lymphatic system. If the lymphatic system does not carry garbage away, it can collect proteins and microplastics in blood vessels. 

So is there some kind of dysfunction or anomaly in the dementia patient’s brain or brain's blood vessels? The thing that can collect microplastics in the brain can be the weak or slow blood flow. That thing can collect those microplastics in certain people's brains. And that can be the thing that makes those microplastics a symptom of dementia. 

When we think about the weak blood movement. As the thing that can cause dementia, that thing can cause a situation where bad proteins are accumulating in the brain, the same way as microplastics accumulate in the brain. If that thing is possible to prove, that is the fundamental thing in dementia research. 

https://www.eurekalert.org/news-releases/1074296?

https://www.emjreviews.com/neurology/news/microplastics-found-in-human-brains-an-alarming-link-to-dementia/

https://scitechdaily.com/scientists-discover-alarming-amount-of-microplastics-in-your-brain-and-it-could-be-fueling-depression-and-dementia

The new cyborg insects and spiders are coming.

"Illustration of mind-controlled bees equipped with the world's lightest brain controller, depicted as an artificial illustration."(RudeBaquette)

Microchip implants turn bees and other insects into spies. Those microchips allow the controllers to use a joystick to control things like bees. The cyborg insects can transport microchips to the bird’s and fish’s stomachs. And those things help to map their food and environmental threats. Things like flies can search bodies from the area. But the cyborg bees and insects can be used as reconnaissance and weapon tools. 

Robot insects can search people, and they can transport things like eavesdropping tools into rooms. And those things can transport very small eavesdropping microchips on the computers. Those systems can search and listen to data that travels in the computer’s wires. 

That is one of the things that the microchipped cyborg bugs can do. The thing is that those cyborg insect swarms can act as similar as drone swarms. Those microchips can share and receive data. And that allows those microchips to use cloud-based non-centralized data processing models. That kind of system can collect and process data. That makes those insects far away from the natural insects. 

But when we think about this technology more carefully those microchip-controlled insects can also act as biological robot weapons. They can transport microbes that destroy food or turn oil into powder. The last one could destroy the entire fuel storage. But cyborg bugs and spiders are things that can have multiple weapon solutions. 

What if some sniper or some other military operator gets the bee sting just at a critical moment? And the other thing that the weaponization of that technology allows authorities to do is to use the bee swarms as riot controllers. People like leaders in authoritarian states don’t care about the people’s safety and opinions. But there is a possibility that things like black widow spiders will be turned into biological weapons. The microchip-controlled spider can be a tool that makes some horror movies look like children’s games. 

The black widow is a very poisonous spider and that spider can cause death. And in the wrong hands implant technology can be more dangerous than we even dare to believe. Things like implanted snakes and other animals can be perfect assassination tools. And that is the thing that can interest people like Kim Jong-Un and his friends. The fact is that a new race of systems is born. Those systems are multitasking tools. And their developers and users determine where they want to use those systems. 

https://www.rudebaguette.com/en/2025/07/these-bees-are-now-spies-china-stuns-world-by-controlling-insects-with-ultra-light-brain-chips-igniting-fears-of-next-level-espionage/

Is AI a black box?

In the black box model, the only thing that means is the thing that the outside observer sees. That thing was the primary element in early 20th-century psychology. And the most modern observation tools are changing that thing. But in the early 20th century the brains were totally unknown. There was no change to research living brains. When EEG systems developed researchers could investigate the brain shell electricity. 

But things like PET and MEG scanners open new ways to see how brains work. But if we think of brain research as the box model, the early 20th-century models were black box models. The modern scanners brought the glass box or white box model to brain research. And the AI brought the grey box to neurology. That means the brain-computer interfaces, BCI, where researchers use brain electricity to control computers and soon read thoughts. 

When developers use the black box method to test programs they simply test that the program works. When we make the black box model for psychological learning methods, we can think about some 9-year-old child. That child can read almost everything and we can put that person to read even complicated scientific articles. The child can read those words but that person doesn’t understand what those things mean. The black box means that the actor can make many things, but the action is the only thing that the outside observer sees. That means that black box applications are not as safe as they could be. 

And most of the computer applications are black boxes for users. A regular user sees the interface and that’s enough.  In the white box or glass box application test, the tester tests the code. In the grey box, the test unit tests the functionality and code in the case of programming. The fact is that the AIs that we see are black-box applications. We see only the command line and the answer or thing that the AI makes. We don’t actually know even if the images and texts that we order the AI to make are made by some humans. 

In the case of the black box, the only thing that matters is that the system gives the right answer. The way the system makes that answer doesn’t matter. The only thing that the user sees means something. 

Is AI a black box? The idea of AI intelligence is something that is handled very little. We know that AI can solve many problems independently, but AI doesn’t know what it really makes. The AI can know many things, but it cannot have deep knowledge about those things. The model is taken from the black box psychology. In black box psychology, the key element is that the behavior that an outsider observer sees is something that we can accept. That means the AI just mimics human intelligence. The black box model means that the AI can give the right answers for some mathematical problems. 

But the same AI cannot make anything else. That is the idea of the black box. In the black box model, the thing that the AI gives the right answer is enough. The AI must do only things that the operator orders. So when the operator asks about the uranium enrichments and something like that the AI must give the answer. It must not make its own connections to things like weapon development. There can be things that deny the AI to give orders that can cause damage to operators or their environment. But those orders are in the AI’s code. The AI doesn't make those orders itself. 

The AI is sliding to the grey box application. For making autonomous learning the AI must have access to its source code. And the second thing is that the AI must have the ability to test the code. The AI can involve three parts. The system that creates the code. Another system that tests and accepts the code. And the last system that keeps the backup copy of the AI source code. A backup is needed for the errors. The system should have the ability to reject the code that is not functional. 

Quantum entanglements and human consciousness.

Researchers noticed that human brains emit light. That very weak light that very sensitive sensors see is the thing that causes interesting ideas and thoughts. The fact is that we know that there is nothing meaningless in human brains. And that strange light must have some connection to brain activity. The question is can part of our thoughts be based on quantum entanglement between some electric or photonic field in human brains? 

The human brains have the capacity to feel magnetic fields because axons transport electric signals. The question is what parts in our brain make that entanglement? Do neurons trap ions like protons into the ion pumps and then make quantum entanglement with them? There is suspicion that the myelin cylinders are the key element in the brain's quantum entanglement. 

If that structure is the thing, that is behind the human brain's superiority it would be the ultimate boost for quantum computing. Researchers can copy that structure into the quantum processors. And make room-temperature quantum computers possible. 

The quantum entanglement can be made between axons or electric fields around axons. We know that human brains will not make anything that it doesn’t need. And the thing is that the very weak light in brains can have its purpose in the thinking process. There is also another interesting thing that researchers noticed. The human brain cells are growing in old age. The memory cells make new neurons all the time. The reason why our cognitive abilities decrease when we turn older is that our brains lose more neurons than they can replace. 

"Liu et al., Physical Review E, 2024

"A closer look at myelin cylinders and its location along the neuron’s axon." (Popular mechanics, Quantum Entanglement in Your Brain Is What Generates Consciousness, Radical Study Suggests)

The finding of the thing. That makes superposition in human brains. Can uncover and supercharge the quantum computer's advance. 

Or neurons start to remove connections faster than before. The destructive thing is that the number of axon connections will decrease so fast that brains cannot adapt to that situation. Our brains simply don't have time to transport memories to the next neuron generation. So do we use our brains less in middle age than in young ages? Do our brains cut so many useless axon connections that they cannot save memories? 

But the problem with alcoholism and some other brain damage caused is that those things destroy brain cells faster than the new brain cells can form. When the memory cell creates a new brain cell, that cell is meaningless without its memories. Brain damage sometimes means that the brain memory neurons have no time to send the memories to those cells. That makes them "empty". 

If those neurons exist they cannot perform the same duties as their precursors can. The cell loses its instructions on how it must make those things. Without those memory units, the neuron cannot do anything. The ability to create new neurons in the old ages makes it theoretically possible to input data, or “train” those new cells and then inject them into human brains. 

The big question is does AI make us less intelligent than our precursors were? The thing is that if a person uses lots of AI the person uses less brain capacity than a person who uses less AI if we think about the neurological aspect, if brains do not use some neural tracks that means that neurons remove those tracks. So if a person writes all texts and draws all things using the AI that can decrease the use of axons and that can decrease the IQ if that happens over a long period. When a person doesn’t use neural tracks that means brains will remove those tracks. 

When people use artificial intelligence for essays they must not think. They must not collect information and the main thing is that they must not process that data. The AI will give them a correct set. And that doesn't give them a chance to process and taste information. In the worst case, the student simply copy-paste the test task to AI. And that makes the essay for them. That doesn't require very much thinking. And in that version, the student cannot advance very much. 

So that means that it’s necessary that people use their brains for thinking. Without thinking, brains disconnect their connections. People say that we should read books and advance our way of thinking. But the problem is this: we have no time to read. 

https://www.euronews.com/next/2025/06/21/using-ai-bots-like-chatgptcould-be-causing-cognitive-decline-new-study-shows

https://www.laptopmag.com/ai/chatgpt-study-by-mit

https://www.popularmechanics.com/science/a65368553/quantum-entanglement-in-brain-consciousness/

 https://www.sciencealert.com/your-brain-emits-a-secret-light-that-scientists-are-trying-to-read

B https://scitechdaily.com/brain-cells-keep-growing-even-in-old-age-study-finds/

The new genetic engineering beats Sci-Fi tales.

The new systems are making genetic engineering more powerful than ever before. The biological artificial intelligence called PROTEUS can usher in a new era for medicine and gene therapy. When we think about things like cancer and blocked blood vessels there is the possibility to send new small robots to destroy those tissues and open blockades. 

The problem is that those robots are hard to control in the human body. AI-controlled biorobots can solve that problem and maybe in the future, genetically engineered bacteria can destroy wanted cells. Or maybe those cells can make much more than just remove cancer cells from blood. The artificial amoebas can also be used to transport tissues in the damaged areas of the human body. The artificial amoeba searches the point where the damaged tissue is. 

Then the amoeba closes the blood vessel and then the mRNA or DNA reprograms that amoeba into the tissue that fixes the damage. Researchers have noticed that the brain's memory centers are constantly generating new neurons. That thing makes it possible to create systems that can used to recover memories in the case of brain damage. The genetically engineered amoeba can travel to damaged neural areas and then transform into neurons. And the problem is how to transfer the memories or skills that destroyed neurons involved into the new neurons. 

When a memory cell creates a new neuron and transfers its memory to that cell it's possible to steal those cells. And then put them into the freezer. The artificial parasite can go to the brain and steal those cells. Then the genetically engineered mosquito can call those parasite-robots to it and then transfer biorobots to the laboratory. The AI can read those memory blocks. And maybe, sooner than we expected, that thing allows researchers to read people’s memories without brain implants. 

The ability to create 3D printings in the cells creates new ways to reprogram cells. The 3D printer simply makes the mRNA molecule in the cell. And that tool can adjust the cell's purpose anytime when researchers want. 

Genetically engineered cells can also be used to transport data from the chemical memory DNA or mRNA to the computers. The idea is that the cell can send electric impulses or blink the bioluminescence light to the data transport. Genetic engineering makes it possible to make almost everything. The genetically engineered mice that had the human genome started to be discussed. And that is one version of the new visions for genetically engineered animals. In visions, intelligent pets are animals whose mission is to assist their masters. Those intelligent pets are things that are opening new visions for bio-engineered creatures. 

What would you do with talking mice? If the AI can communicate with those creatures like talking mice, those creatures can tell us what animals talk. And the ability to talk with animals would open new roads to biology, ecosystem understanding, and many other sciences. 

And all those visions are not things that feel good. 

We know that people like Kim Jong-Un want things like super soldiers. And new technology brings vision about the super skills that a person can have only when those skills and abilities are needed. That means that person gets the super muscles only when that person is frightening. 

When we think about the possibility of changing genomes in the human body we face the ultimate dream of human history. That dream is about the superhuman. The superhuman is a creature that is stronger and more intelligent than a regular human. And the product of that dream is the super soldier.  Genetic engineering makes biological creatures like humans the product. The new tools like self-amplifying RNA, saRNA make it possible to customize human skills for every situation. 

The ability to adjust the human intelligence level and transfer things like wolf’s behavior genomes to a person's body makes it possible to create soldiers who are obedient. That thing makes those people perfect soldiers. Otherwise, that genome makes those people dangerous in the wrong hands.  But what if the system can remove that ability when a person is out of service? The idea is that the person, or creature has some ability only when that creature requires that ability. '

https://www.earth.com/news/life-copying-itself-scientists-create-a-self-replicating-rna-system/

https://medicalxpress.com/news/2025-07-scientists-biological-artificial-intelligence.html

https://www.sciencealert.com/brains-memory-center-never-stops-making-neurons-study-confirms

https://www.sciencenews.org/article/3d-print-elephant-inside-cell

What separates us from AI?

Today we use lots of time to think, why does AI decrease our IQ? The answer is this: this modern time where we live benefits superficial people. Our working life encourages us to have maximum velocity. There is nothing wrong with the velocity-based working life. But the problem is that the measurement tools for velocity are things like how many executions we make during our working day. The measurement tool can be how many screws we tight. Or how much money we bring to our employer. 

Deep thinking is not encouraged in our working life. When somebody sits in a coding company, that person should use the AI assistant. Can you even seriously imagine that you would go to the library and borrow a book about the problems? And would you have time to stop deeply thinking about things that something really means? How often in the week, do we discuss philosophically and think deeply about things that we really see? We can do many things without deep thinking and logic. 

And when we think about things like some 1970s chess simulators, we must ask ourselves are those things really thinking? Do some ATARI, or Commodore 64 really think? It can drive a car on screen, but does it think? The system can move chess buttons and win chess games or some formula games against humans. But is that a mark of advanced thinking? Or does the horse, who sees three fingers and knocks the floor three times using its hoof, be some doctor of philosophy? Is a chess simulator with 64 kb memory more intelligent than some university professor? Maybe that thing is not as versatile as a professor. 

The IQ is something only if we compare it with something else. If we play chess alone or make something else, we don't need to be intelligent. If we are surrounded by people who have an extremely high IQ, in that case even a high IQ doesn't mean impressive. Same way. If our only opponent in a chess game is Garry Kasparov. That makes all of us seem like very bad chess players. Then we can think how ordinary chess player Kasparov is. Did an ordinary player play 2533 matches at the world champion level and win 1371 of those games? That means 54,13% winning games. But that happened at the highest possible level of the chess game. So does an ordinary player ever reach that level? 

But if the professor wins the AI in chess that is not news. The news is that the professor, some AI chatbot, or quantum computer loses a chess game against that machine. Nobody cares how many things the professor made before that chess game. Nobody even cares if the professor plays that person’s first chess game. And nobody even asked if the AI played chess before, or did the AI even knew how to move buttons. In the same way, a professor might not necessarily play chess at all. The fact is that all geniuses don’t even play chess. And if AI learns like humans, there must be something there that gets things like button movements. The computer can play chess but it might not do anything else. 

Normally we say that AI simply mimics things and then it doesn’t have a deep knowledge of things that it makes. When I read about that kind of thing, I sometimes remember one question from philosophy exams. That question is: “What separates philosophical thinking from the every day, or regular thinking?”. The answer is that philosophical thinking is deeper and more analytic than regular thinking. And that brings new questions into my mind. That is when we last exercise philosophical, deep thinking?”. When we do something, like turn screws in workplaces, do we really think about the purpose of that action? 

How deep out thinking? And how deeply do we think about things that we do in everyday life? The thing that’s enough is that we do what we must and that’s it. We have no time to think deeply about what some screw or other things can do. We simply do our job and that’s it. The thing is that humans learn through mimicking. We know many things. We know how to drive cars and use computers. We know how to fly airplanes and still, we don’t know anything about those things. We can drive cars. But we don’t need to know what happens in the car when we pull the gas pedal. We know that cars accelerate, but we must not know how cars make that thing. 

We could put the car to react with the gas pedal two ways. We can make physical contact between the gas pedal and the engine. Or we can use a camera that registers the gas pedal’s position. Then the AI accelerates or brakes the vehicle. For that system, the AI doesn't need any deep knowledge of things that it does. The system must simply accelerate the electric engines if we use electric cars. And the fact is that the AI must not even know what an electric engine is. When a car accelerates the system can involve code there is the word “engine”. Then some control circuits have a code that makes it react to the signal that is meant for the engine. 

Same way, if we hear the word that is our name, we automatically react to that thing. Our name is the thing that activates our attention. Sometimes we think about our names. But we forget that we learn that thing. Why cannot our name be C3PO? Because our parents didn’t give that name to us. Our names are “Jacks” and “Jills” because our parents gave those names to us. But have we ever wondered why some names are reserved for girls and others for boys?  And then we learn that those words are our names. 

But if our parents would give the name C3PO to us. We would react to that as our name. But do we ever imagine, why cannot our name be C3PO? Because we never thought that before. Then we can go back to begin, and ask how to describe thinking. Does thinking mean that we think how many times we hit some nails? Or does thinking mean how many chess games we learn? 

The thing is this: if we drive about 10000 kilometers without accidents or we win millions of chess games in our life that is not news. The news is that if some robot car drives off the road. Or if some supercomputer loses a chess game to some ATARI chess machine. Those things can be translated into that maybe the ATARI chess machine is more intelligent than humans and supercomputers. 

Training determines the abilities of the AI.

The new remote-controlled robot uses technology that allows it to teleport all human movements to that robot's body. That thing turns so-called external, or exobodies true. That nobody can operate in every mission where humans can. This kind of body can operate as an AI-training tool. The operator controls that robot in different situations. Then that system can share its data with other full-automatic robots that operate independently. In the robot world the word “independent” doesn’t mean necessary the same as in the human world. An independently operating robot is a robot that can do its duties without human assistance. That kind of system can operate under the control of data centers. 

So, those systems use the internet for the remote control of the robot body, and that computing capacity is not high enough to run complicated algorithms that do things like walking in the city and visiting shops to buy things. The fact is that the training of the AI determines its abilities. The human-shaped robot is like a screwdriver. The AI that controls that system is the thing that makes it capable of operating in many situations. The first real robocops are coming to the streets in Indonesia. 

Many armies and civil defense and rescue organizations test robot dogs that can search things like mines. Those systems can carry lasers or even missiles in the back. So that makes them able to destroy tanks and other vehicles. Those robot dogs can have quadcopter propellers in their legs. The system can turn the twin wing rotors in the same line. And then pull them in. In use, those systems can push propellers out. Turn the legs to the side. And then turn those propellers into an X-position. 

Researchers trained the Chat GPT for space pilots. That system did its mission very well, and that means the new drones can get AI-based autopilots. And in the wrong hands, those systems are terrifying. That means basically anybody can train their own AI-based aircraft pilot that can operate drones or, why not, full-scale aircraft. There are risks in those applications. The same autopilot program that controls the drone can control full-size aircraft. 

Some researchers are worried that AI chatbots can start to create biological weapons. Those systems can make almost everything. AI-controlled laboratories are things that can revolutionize material and molecule research. That means that those laboratories can also connect the DNA molecules together. Those systems can also make artificial organisms using AI-controlled nanotechnology. 

The self-replicating or self-amplifying mRNA molecules are created for self-replicating vaccines. Those self-amplifying (m)RNA (sa(M)RNA) can also unlock new tools for controlling nanorobots if a small miniature robot can carry saRNA molecules to the right cells. And that thing can make it possible to create the system that orders those cells to die. That mRNA molecule can order the cell to shut down its protein synthesis. Those self-amplifying molecules can also act like chemical computer programs. And that makes new tools to control nano- and biorobots. 

The ability to produce and self-replicate mRNA molecules in a dish, outside the cells. That opens new paths to genetic engineering. And another thing is that this kind of ability makes it possible to create new mRNA and DNA-based computers and data storages. 

There is a possibility to create the artificial mRNA molecule that self-replicates in the dish. That thing makes it possible to create the mRNA that reprograms the cell. There are two ways to make a large number of artificial cells. The first way is to create artificial DNA or mRNA molecules. The researchers can change the DNA from inside the cell’s nucleus. The other way is to use the mRNA molecule to reprogram the cell organelle and force it to create artificial mRNA viruses. 

The new method is to create artificial mRNA or DNA molecules. Then that molecule can self-replicate. Then researchers can take cells in control and inject those mRNA molecules into cell organelles. Or they can exchange DNA from the cell nucleus. That makes it possible to create artificial cells. The difference is how to produce that genetic material. In the last case, the genetic material is produced separately from the cells. And that makes this genetic material easier to control. That material opens new doors for DNA and mRNA-based computing and controlling miniature robots. 

https://www.birmingham.ac.uk/news/2023/ai-could-be-used-to-develop-bioweapons-if-not-regulated-urgently-says-new-report

https://futurism.com/scientists-chatgpt-controls-spaceship

https://www.rudebaguette.com/en/2025/06/real-life-avatar-tech-arrives-new-capsule-teleports-full-body-human-motion-directly-into-remote-controlled-robots/

https://www.rudebaguette.com/en/2025/07/theyve-gone-full-robocop-indonesia-unleashes-humanoid-police-robots-to-hunt-criminals-and-crush-the-drug-trade/

https://www.science.org/content/blog-post/first-self-amplifying-mrna-vaccine

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

https://en.wikipedia.org/wiki/Self-amplifying_RNA