Intelligent glasses and AI.

Intelligent glasses and AI. They don’t destroy our ability to think; we destroy our ability to think ourselves. We use AI without criticism. We don’t check the sources that AI uses. 

Intelligent glasses and AI are tools that can bring human-AI fusion and singularity closer. Intelligent glasses have miniature cameras. That makes it possible to transmit information to AI. That tool is incredible for both free time and business work. Intelligent glasses allow a person to work in public places. 

When a computer screen is connected to those systems. 

That keeps users’ privacy at a high level. When a programmer uses data glasses and looks at the screen. The AI reads that text and gives advice. But then that advance can turn the AI into a programmer. The idea is the same with a chess game; there, the person uses headphones, AI, and a camera to make perfect moves. The AI gives orders on where the player should make moves. In this case, the real winner is the AI. We say that we are afraid. That AI takes our jobs. But at the same time, working life requires more effectiveness. 

When we cry that programmers lose their jobs to AI. 

We forget that today companies have no time to train new workers. They want full-stack coders. And where can they find those full-stack coders if new programmers cannot get any practice? Without practice. There are no masters. This means that workers are forced to use AI. People must be effective. And there is no time to give advice. People fight for their workplaces. So, that means there is no time to think. People must not think; they must act. And that is a sad truth. Reality is that AI is here. And we must accept it.

When we think about the jobs that AI takes. Well. Those jobs are already outsourced to India and other places; there is time to train programmers. The only problem is this. There is no space to think. The only goal that measures effectiveness is money. 

Only goal. What we can put to ourselves is how to turn expertise into leadership. Leadership means that expertise and precision should turn into money-making. And that turns people to use AI. When we think that an untrained programmer who uses AI can produce results as fine as an engineer, the company selects an untrained person. 

The reason is simple: the engineer gets a higher salary. The untrained person who makes similar-looking things has a lower price. The customer cares about what the product looks like and how it works. They don’t care about how many dead lines it includes. This is the philosophy. 

The low-trained. Person is easy to replace. The problem is that. Everybody wants to be lawyers. Or. Medical doctors. Those things require high university training. And the problem is that. The entrance exams require perfect success. And before those exams. The matriculation examination requires complete success. Those things force some people to use intelligent glasses and AI to make their answers. 

This means people give up their own willingness. And their ability to think and search for information is given to AI. When the entire working life revolves around effectiveness, measured by how many successful work outputs a person can make in a certain time. That leads people to use AI in their work. They don’t check facts. They might not trust AI. But they use its information without even clicking the source link. The attitude is this. Some experts made the AI. And that means AI will not make mistakes. So, why should anybody click any sources? By thinking that way. Clicking source links is a waste of time. 

When we look at results. We. See only information. 

That we see from outside. 

We can call that information loud information. That information is collected from interactions with humans and machines. 

Statistics don’t involve silent information. Silent information is our thoughts. Things that nobody sees from the outside. If. We don’t tell that information to outsiders. That means information stays silent. 

We must realize that records and statistics involve only information that we see from outside. And an attitude that “someone else does”. Or, “who cares if it is wrong or right?” “They don’t check it anyway. “ That is a dangerous path. If people don’t dare or care to tell that somebody makes bad work. That escalates false information and bad code through the entire system. 

It doesn’t matter what we think. What we do and what others see matters. The thing that people see. It is what we do. When AI gives a wrong answer. The answer is wrong to us. Only. If we know that it is wrong. But if we still use the wrong answer. We mark it right anyway. And that is dangerous. The AI thinks in terms of statistics. And this means that. The AI can turn wrong into something that seems right. This means that, in the worst case. The entire system operates on wrong information. 

A new quantum computer solves a math problem in 15 minutes. That binary computers can never solve.

“Scientists used a new error correction method to encode 70 logical qubits and solve a problem that is intractable for classical computers. The quantum computation took about 15 minutes, while leading classical methods would require an impractical amount of time. Credit: Shutterstock” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“Researchers have demonstrated a quantum computation that appears to exceed the practical capabilities of leading classical simulation methods while also addressing a longstanding problem: how to verify the result.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer completed a difficult calculation in about 15 minutes, while leading classical simulation methods would require prohibitive amounts of time. Just as importantly, the experiment included a way to establish confidence that the quantum result was accurate.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“The system completed 2,415 logical two-qubit operations and 468 logical “T gates,” two measures of quantum circuit complexity. Encoding the circuit reduced the effective logical error rate to one tenth of the physical error rate, allowing the computation to maintain high fidelity despite the large number of operations.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

"Common quantum logic gates by name (including abbreviation), circuit form(s) and the corresponding unitary matrices". (Wikipedia, Quantum logic gate)

There are two major problems in quantum computers. First is that. Nothing that another quantum computer can check or inspect the result. The other problem is. How to make sure a quantum computer gets the right answer. This means. The quantum computer may make many errors in the process. From the beginning of the formula. To the complete answer. The danger is that the system can get the right answer. But using the wrong methods. The danger is that. The control formula is made using binary computers. It can give the right answer. Or an answer that seems right. 

Even if a quantum computer makes mistakes. And. If a quantum computer works incorrectly. That can cause errors in extremely long calculations. That take years. If. A computer solves a problem in one year. Inspection takes another year. So, making an answer and proving it takes two years. And this is one problem. 

“Random circuit sampling (RCS) has long served as a benchmark for testing whether quantum computers can outperform classical systems. In this task, a quantum computer produces patterns so complicated that classical computers cannot efficiently recreate them.” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer solved a mathematical problem. That was impossible for binary computers in 15 minutes. This means that there are limits to quantum and binary systems. The binary system is faster and better. When. Calculations are easy and small. But when complexity in calculations grows. That turns. Quantum computers. More suitable. The big problem is how to detect errors in quantum systems. The only thing that can inspect calculations that are too complex for binary systems is another quantum computer. 

When a quantum computer inspects and tries to detect errors. 

This system calculates all calculations backward. That means that getting the answer takes 15 minutes. And confirming that answer takes another 15 minutes. This looks impressive. But there are many problems. The biggest problem is that the quantum computer. It follows similar laws as other computers.

Increasing calculation capacity. It provides resources for more complex simulations and modelling. So, researchers bring more complicated formulas to computers. Increasing computing power. That increases the complexity of formulas. 

When researchers want to make a simulation. To simulate gas flow. They search for what that gas flow does. And then they try to make a fractal that follows those routes. The same way. It is possible to create material simulations at the quantum level. This thing. It makes it possible. To create very high-accuracy simulations. Those simulations are needed to control those materials with extreme accuracy. 

https://postquantum.com/quantum-computing/rcs-benchmark/

https://scitechdaily.com/quantum-computer-solves-a-problem-in-15-minutes-that-classical-methods-cant-practically-compute/

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

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

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

Photonics: a new tool for technology.

“An illustration of the experimental concept shows how researchers study phases in quantum material. In the background, the uniform blue stripes are the dominant order, and the subtle red stripe patches are the subdominant order phase. The red and purple rays are, respectively, the “pump” and “probe” laser beams. The white particles are the photoemitted electrons, from which researchers read information about the phase transition. Credit: Xinyue Lu” (ScitechDaily, MIT Physicists Zapped a Quantum Crystal With Lasers – and Discovered Something Surprising)

New physics creates new electronics. The limits of resistance make new microchips possible. In new microchips, resistance controls the direction of information. And along with precise photonics, this can make it possible to create new, smaller microchips. In those semi-photonic microchips, photons control resistance. And resistance controls the route of information. Resistance is the thing. That makes it possible to create extremely small switches and gates. And that is one step toward photonic and superconducting microchips. 

On superconducting microchips, photons raise and lower the temperature. That is the border of the superconducting limit. The ability to control light makes many new types of devices possible. If we create a system that can create resistance and remove it. When. It is needed, that system can revolutionize electronics and other things. Resistance can create information or an energy dam. Then that system can wait until the energy level is right. And then remove resistance. That allows it to deliver precisely the needed energy impulses. 

The ability to stop and control light makes it possible. To create ultra-secure data transmissions. When we think about the wave interaction between photons and electromagnetic fields. We. Must realize that wave movement is like a puzzle. There is the main wave. And then there are subwaves. If. We see a light wave. We would see a line; the surface is like a saw. That structure repeats again and again. And each of those structures can carry information. That means that a light wave can act as tape. This means the light can be stored in the box between 100% reflecting mirrors. And when the other mirror is opened. That releases the laser beam. 100% reflection means there is no energy absorption in that structure. 

So, when we start to think about photonic crystals, they can act as effective data storage. 

Photons are trapped in those crystals’ structure. They can store information and process it. In that system, the quantum entanglement between those photons can make them act like quantum-sized mechanical computers. This can allow the creation of a 2D quantum computing layer on microchips. 

But photonic crystals and 100% reflecting mirrors are multi-use tools.  

They can make it possible. To create. Things that we can call energy crystals. When the system pumps energy into energy crystals. Their structure stores that energy. When something disturbs the balance of those crystals. It. Puts that energy into motion.  100% reflecting mirrors can also store laser beams between them.

Storing a laser beam is theoretically very easy. The system lets the laser beam into the chamber. And then it closes the hatch. This technology makes it possible to create high-energy laser bullets. A laser bullet means a bullet that carries a laser beam inside it. The laser beam is stored between those mirrors. 

When. The bullet hits the target. The front mirror breaks. And releases the laser beam to the target. 100% reflecting mirrors. They can also form extremely strong laser beams. The system can make photons jump between those mirrors. And push energy into those photons. 

The limit is the energy level in the medium. There is a possibility for the laser beam to jump between those mirrors. This means that high-energy radiation pushes energy into that laser beam. In. In this case. Energy emission happens directly between photons. And then the front mirror is opened. This technology. It makes it possible to create extremely thin. But at the same time, strong lasers. 

https://scitechdaily.com/light-reveals-the-hidden-quantum-motion-inside-an-exotic-crystal/

Russia's new cruise missiles use a TEMU engine.

Russia's new S8000 Banderol missile. It’s like a hobbyist package turned into a military role. That new, cheap cruise missile is being developed. To be used against soft targets like radars. Those missiles can cause problems. Because if they are used with other, more advanced missiles. They can be dangerous. Ukraine dropped one of them with a very old AA gun. That doesn’t mean that those missiles are harmless. They are cheap and probably easy to manufacture. Those hobby-kit missiles can also be transported to positions. There, they can make surprise attacks. Missiles that can be manufactured or assembled in the operational area are a big risk.  Those systems can be smuggled into the country—the origin of the parts. of that missile. It's also a depressing thing to read. That shows the real effect of the sanctions against Russia.

Their operators can. Put those parts into their position. And use those missiles even from their balcony. This is a new threat. Things. Like artificial intelligence and cheap image recognition tools make those systems deadlier than ever before. The hobby-kit missiles are tools. That took their position in the war. Low-cost missiles and drones are tools. That can cause problems for every system. They can attack large carriers’ radars and communication systems. In the same way, small cruise missiles can be deadly against aircraft. 

S8000 has another drone as its primary launch platform. And that missile. It can also be integrated with the Mi-28 Havoc. The standard kit uses inertial and satellite guidance systems. But there are dreams of using AI and optical target recognition systems to boost its accuracy. The suspected system uses the WEB camera. And an AI-based target recognition sensor. This makes. The system can find its targets with high accuracy. The system works like this. Inertial and satellite navigation guide the missile to the line of the target. When its camera sees the target. 

And recognizes it. That missile dives toward it. Those missiles can use things like an anti-radar kit. That system turns them into anti-radiation missiles. Those missiles can be used against radars, jammers, and communication tools. There is a possibility that, if those systems have the right codes. They can search for and locate individual GSM telephones on the streets. AI makes those systems dangerous. They can make evasion maneuvers. And they are easy to buy. So, in the wrong hands, those hobby-kit missiles can cause terrible damage. 

https://aeronaut.media/articles-en/en-russian-s8000-banderol-all-about/

https://en.wikipedia.org/wiki/S8000_Banderol

Modern military requires deep penetration capacity.

F-35 Lightning II

In modern military, things like drones and missiles are new threats. The use of long-range missiles brings new requirements. Being an effective military force must have the capacity to respond to that threat. We can think that air defense armament is enough to respond to that threat. The AA crew sits and shoots incoming missiles and drones. This kind of passive defense has one problem. The enemy can use a large number of drones and missiles to make AA run out of ammunition. There is a limited number of missiles. And one of the most feared tactics is the use of a large number of AI-controlled drones. 

Those drones have the capacity to destroy their targets. Small kamikaze drones can also damage electric cables or radar systems. And they are a big threat to AA crews. It is almost certain that the attackers will drop pocket-sized kamikaze drones into the target area to target the AA crews. Those munitions can destroy radars and radio systems. 

A ballistic missile. Or. A stealth fighter or large-sized drone can drop that dangerous loitering ammunition on the target area. There are many ways to transport those weapons. 

With high accuracy. This means that AA must shoot down every single drone. And every shot requires ammunition. This is one of the problems. The use of lasers and HPM (High Power Microwave) for that mission. But that doesn’t remove the vulnerability. The DEW (Direct Energy Weapon) requires electricity. And if the saboteur or drone can destroy the power supply. That weapon turns ineffective. 

Above: Ukrainian “Sting” drone. Similar drones can carry side mines. That ammunition forms a hypersonic impulse of molten metal. There is also the possibility that the system can carry a high-explosive anti-tank warhead. In that case, that hollow warhead can also be equipped with small metal balls. These kinds of systems. They can be dangerous to all vehicles. 

HEAT (High Explosive Anti-Tank) ammunition. 1: Aerodynamic cover; 2: Air-filled cavity; 3: Conical liner (Often copper); 4: Detonator; 5: Explosive; 6: Piezo-electric trigger. 

There is a possibility that some of that ammunition. It is boosted with water. Hydrocarbon. Or metal balls. When that hypersonic beam pushes steel balls forward. That boosts that weapon. There is a possibility that some large missiles are equipped with this kind of large-sized HEAT warheads. Those warheads can form a massive hypersonic impact on the target. There could be a metal rod in this warhead that pushes a high-speed metal beam into the impacted targets. 

Maybe an AI-controlled stealth version of the Shahed drones could surprise those weapons. And the saboteur. Can shoot the laser systems by using a sniper rifle. Or small-sized kamikaze drones. A pocket-sized drone that travels at speeds of about 200-300 km/h.Travels to a radar or laser platform. It is very hard to detect that thing. A saboteur can slip that drone near those platforms. And then use them in a very short warning time.

The problem is those systems. They can be manufactured in large numbers far away from the front. They can be launched from very long distances. And if those factories are not destroyed. Those strikes continue. This means. The military force must have. 

Deep penetration capacity. To attack and destroy those threats. The problem is in the model. There are strategic missiles that can also have tactical abilities. Things like low-yield nuclear weapons, neutron bombs, cluster bombs, and drone swarms. They can make those missiles capable of striking other continents using incredible accuracy. ICBM missiles can carry AI-controlled drone swarms. Those systems can independently search and eliminate targets. 

There is a possibility that some small-sized UAPs are the heat shields for capsules that can carry and deliver small kamikaze drones. Image-recognition systems allow them to strike any target in targeted areas. Those drones can damage radars and defense infrastructure. They can also eliminate key personnel in the defense. Those loitering munitions can damage command posts, including Air Force One. They can also destroy communication antennas. And. Cause damage to submarine hulls. 

https://en.wikipedia.org/wiki/High-explosive_anti-tank

https://en.wikipedia.org/wiki/Sting_(drone)

https://www.reddit.com/r/Boooks1234/s/0LCjROVB3b

Why don’t AI companies make sure? That their product will not turn into a hacking tool?

 

https://www.reddit.com/r/Boooks1234/s/w01ORWtDtd

AI created artificial viruses.

AI-created viruses that kill bacteria. Those viruses can be the first step for the manipulation of more complex organisms. And maybe even humans. Artificial DNA makes it possible to create even human copies. And those clones.

Along with new microchip technology. That thing can make it possible to transfer memories to those clones. And that is the key to immortality. And another way. To transport information into human brains. Those things are genetically engineered bacteria. Those bacteria can create neurotransmitters and electric impulses. To transport information into human brains. 

AI and nanotechnology. They can be the tool that brings a new step. To biotechnology. And genetic engineering. Those systems can make almost everything from DNA. And now. AI has created the first non-natural viruses. This technology. It can be a new boost for medical research. And fixing genetic disorders. Artificial viruses can help to destroy antibiotic-resistant bacteria. This kind of technology also makes it possible to create bacteria and maybe other creatures. That destroy themselves. 

After they have completed their mission.  That technology. Should make laboratories safer. There is always the possibility that some mouse escapes from the laboratory. There are dangerous viruses.

In visions. Natural light could activate it. A virus production. In those cells when they are out of the laboratory. The virus can involve DNA that orders the organism to die. And those kinds of things. They can make it possible to create the real-life Nosferatu. Those kinds of things that were imagination a couple of years ago. They can be reality sooner than we even imagine. 

When we think about the misuse of that technology. We. Must take these kinds of risks. Genetic diseases don’t mean anything. 

If. A person does not have those diseases. Things. Like the ability to repair mitochondria. It can make people’s lives more valuable. The ability to correct errors in genetic material. It can end things like hereditary handicap. 

Genetic engineering makes it possible to create a customized child. That has certain abilities. Like. Musical skills. But that thing has an opposite side. 

Genetic engineering. It can fix genetic diseases. Genetically engineered viruses. They can destroy almost any bacterial disease. Artificial viruses can reprogram cells. They can create tissue. Replacing damaged tissue. They can turn any cell into a stem cell. And that can be the fundamental thing for biomedical solutions. Those viruses can reprogram cancer cells. So those viruses can destroy the sick genetic material. And replace it with healthy DNA.  

The dark side of that technology is that. This technology can take biological and chemical warfare to the next level. Supersoldiers that can be stronger and more intelligent than “regular humans”. It can also make that kind af advance possible. 

People who have no ethics or morals. They can make supersoldiers that make anything. That. Their superiors order. We know that Nazis. They researched wolves. Because. They wanted to find out why wolves are so sharp. About. Their hierarchy. And there is a possibility. That somebody wants to transfer that genome into genetically engineered supersoldiers. 

In some scenarios. Researchers create a military version of Count Dracula or Nosferatu. That supersoldier might need special equipment. To walk on streets. Because of natural light. It can activate the production of deadly viruses. We know that people like Stalin created ideas about “monkey soldiers”. 

In Stalin’s visions. Those soldiers had monkey brains. But physically, they were strong. The controller gives them orders by using a walkie-talkie. And those monkey soldiers. They used headphones. But modern technology. Like nano-sized microchips and nanocrystals. Those things can transport Electric impulses to neurons. The latter ones could act as passive antennas. Radio transmitters. They can send information into those crystals. And then they re-send it to brains. 

Weaponized biotechnology. It can be a devastating tool. 

Biological warfare. It can be an even worse weapon of mass destruction than nobody ever thought. Biological weapons can also infect a single person. The AI-controlled tools are things. That makes it possible to create customized organisms. Those organisms can infect nutrient sources like corn. They can infect individual people. Who are selected for extermination. 

Those weapons could be bacteria. That destroy themselves after they cause a destructive infection. The virus reprograms a cell to form botulinum and then destroys itself. This kind of thing could be impossible to detect. In this case, the infected cell forms botulinum and then acid. That destroys evidence. Of. That kind of misuse of that technology. The problem is that. The same technology that saves lives. It can destroy lives. 

https://www.bbc.com/news/articles/c5y3j3ngevmo

https://www.msn.com/en-in/money/news/scientists-have-created-ai-generated-viruses-that-are-killing-bacteria-here-s-how/ar-AA1MXL2Q

https://www.theguardian.com/science/2026/aug/06/safety-fears-as-scientists-make-first-viruses-designed-by-ai

https://www.reddit.com/r/Boooks1234/s/E91j0ek03Y