Lasers offer secure data and maybe power transmission tools.

"Illustration of a precision laser being fired from Earth to a satellite orbiting the Moon during daylight (AI-generated, non-realistic illustration). Credit: Ideogram." (Sustainability times, China Hits the Moon With a Laser: First Daylight Lunar Reflection in History Stuns Scientists and Ignites Global Space Race)

When Oxford researchers created light from a vacuum they created the possibility to create sterile photons. The sterile photon is the new tool for photonics and quantum computing. By stressing atoms and particles by using laser rays the system can maintain quantum states and superpositions 1000X longer than in regular cases. 

And that is the big advance for quantum computing and quantum communication. In quantum communication, the system can put two particles into superposition and entanglement. Then it sends information to the transmitting side of that structure. That is one way to make a quantum communication system. The hollow laser ray can protect that structure, 

When Chinese researchers sent high-power laser beams straight to the moon, they opened the road to high-power, highly secured data transmission into the Moon. That opens new ways to transport data to the Moon rovers using light. We know that the Chinese are interested in space as the base of military applications. Moon offers a good platform for intelligence work. It offers a good platform for biological laboratories. Those bases are easy to control and if there is a leak, those organisms will not spread across the Earth. 

And the rocket- or missile stations on the moon are systems that can revolutionize science and warfare. Kinetic energy weapons like about 1-10 kilogram projectiles that shoot from the Moon to the Earth will get a very powerful kinetic energy load. The system must only shoot that rocket across the gravity threshold which is the point where the Earth's gravity turns dominating. 

The laser data transmission is faster than any Starlink system. And there is the possibility of using acoustic wormholes or phononic vacuum channels through the air to minimize scattering. The quantum computer can use lasers as data transmitters. Each energy level in a laser is a certain qubit state. Otherwise, every wavelength or color of the lasers can be a certain qubit or its state. In binary data transmission red can be one and blue laser can be zero. That opens new ways to transmit data. 

The problem with lasers is scattering. But if we think about hybrid systems like microwaves, phonons, and internal lasers where data travels in the laser ray that travels in another, hollow laser ray that kind of system can create tunnels through clouds, dust, and fog. 

Optical systems create less heat than electric systems. Optical computers and microchips are the next-generation tools for computers. There are two ways to make photonic computers. In simpler systems, lasers replace only wires that transport electricity between microchips. However, the more advanced systems include optical data transmission inside the microchips. 

High-power communication lasers also offer the weapon option. The laser ray that hits satellites is the tool that can destroy almost all systems that we know. The difference between communication, data, energy transfer and weapons is the power of the laser system. Many people say that orbital lasers are not dangerous for humans on the ground. If we think about kilometer-long modular laser systems that get their energy from the sunlight that system can destroy any target also from the ground. 

The laser beam can be aimed at the target over the hills using drones that carry mirrors. Those mirrors can be used to send laser beams from the ground over hills and houses. In some ASAT systems, it is planned to use mirror satellites that aim the ground-launched laser impulses into the satellites that have no visual contact with the laser station. Those mirrors can also convey laser data transmission pulses. There is also the possibility of shooting laser beams into the balloons with low-temperature gas. That causes explosions and powerful shockwaves because of fast gas expansion. 

Laser systems are like any other radiation. If another laser ray impacts a more powerful laser ray, that is more powerful, and that more powerful laser takes that weaker laser ray with it. That means more powerful lasers can turn weaker laser rays away from targets. That makes it possible to jam the laser communication. But that requires that the system knows the place where that laser beam travels. The jammer must also have the same frequency. 

https://www.rudebaguette.com/en/2025/06/up-to-100x-faster-than-starlink-taara-emerges-with-light-speed-tech-to-revolutionize-global-internet-access-and-shatter-all-limits/

https://scitechdaily.com/quantum-time-freeze-lasers-lock-quantum-states-1000x-longer/

https://scitechdaily.com/mits-optical-ai-chip-that-could-revolutionize-6g-at-the-speed-of-light/

https://www.rudebaguette.com/en/2025/06/up-to-100x-faster-than-starlink-taara-emerges-with-light-speed-tech-to-revolutionize-global-internet-access-and-shatter-all-limits/

https://www.rudebaguette.com/en/2025/06/nothing-has-ever-been-this-powerful-zeus-laser-shatters-all-records-with-earths-most-intense-energy-blast/

https://scitechdaily.com/quantum-vacuum-breakthrough-oxford-physicists-make-light-emerge-from-nothing/

https://www.sustainability-times.com/energy/u-s-spy-flight-uncovers-fusion-laser-china-caught-building-colossal-device-that-could-reshape-global-energy-and-warfare/

https://www.sustainability-times.com/energy/chinas-massive-nuclear-laser-project-exposed-by-u-s-satellite-this-shocking-military-development-could-tip-the-balance-of-power/

AI is the tool that can change web searches forever.

The new AI will not destroy Google immediately. But those new systems can have a big influence on Google for a longer period. The fact is Google controls so large a data mass that its power on AI development is stunning. However, the new AI-based tools can connect search results from multiple search engines. And then it can refer to those results and make the list of homepages that it used for the solution. Google's dominance ends when those AI-based search solutions can create such large databases that it can turn independent from traditional search engines. 

And that is the main problem with those things. Google is not the only search engine in the world. There are many other search engines that want to drop Google from its position. But some of those search engines are powered by Google. They offer one interface between a search engine and the user. Search engines require lots of computer power as well as AI needs. Companies like Google sell data. 

That means those search engines are operated by private corporations whose business is to sell data. The thing that makes those companies so powerful is that they collect data about the clicks that users give to them. The number of clicks raises the page rank. And that raises the homepage’s position on the search result list. This is one thing that causes critics against that system. It’s hard to get new home pages to the top of that page ranking list. People normally see only a couple of top homepages from that list. And then they select the thing that they think is the best. 

This is the Matthew effect in the web searches. Homepages that already have a massive number of clicks will get much more. And homepages that have no clicks will not even get them. That is the thing in web dominance. AI-based solutions can use many search engines at the same time. The thing that makes those applications interesting is the results or references that depend on the information that it gets if the AI-based web search application can see what type of persons will read those homepages. If some homepage is used by professors who work in a trusted university, that can justify that other people can trust those homepages. But how to confirm those people’s real identity? 

One solution is the quest book where people can say their work. And then we must also realize that confirming those answers is quite difficult. People can write anything they want in those quest books. Confirming those answers requires hard recognition. And that’s against privacy. Privacy protects people on the net. But the same thing offers protection for cheaters, propagandists, and net criminals. There are countries that collect data from all their citizens. 

But people will not need only search lists. The problem with those lists is that they are based on web addresses. There is a possibility that somebody changes the data that those homepages involve. First the page rank will rise using some addictive material. Then the workers change texts, or information from the homepage. That is the tool that is effective for hybrid operations and propaganda work. That is one thing that causes the need to create more advanced tools that can use data deeper than regular search engines. 

The biggest problem with modern networks is disinformation. The other problem is how to describe disinformation? People like V. Putin has a different way to see that thing than regular western actors. That is one of the things that we must realize. The same tool that works against propaganda and disinformation can turn the ultimate tool in their hands. 

https://www.rudebaguette.com/en/2025/06/chatgpt-wont-kill-google-sam-altman-downplays-the-hype-while-quietly-reshaping-the-future-of-search-with-every-new-update/

The Chinese AI strategy is simple. That country wants to be the number one actor in AI development by 2030.

The new Chinese AI called “Manus” doesn't need humans for self-development. We can wonder how the Chinese can make that tool. The thing that guarantees success is the high-ranking official and political support for the AI framework. The Communist Party of China determines its official goal for AI development is that China will be the number one actor in AI development by 2030. That is the official goal. And we know that China wants to use AI as a tool to control people. And work as an ultimate intelligence tool. 

That means Manus is quite near the Artificial General Intelligence, AGI. The AGI is the tool that can control things across the technological field. The AI can connect the robot’s operating systems to itself. The other way is that the AI rewrites the operating system for machines. And that makes those AI systems more versatile than normal AIs. But the fact is this: the new normal will be the AI. And China wants to be number one in that development work. The AI strategy for Chinese R&D work is simple. China wants to be number one in AI development by 2030. And that work gets high-level political support. 

This means that people who work with the AI and R&D programs in that system will get privileges if they work with that work. In China, authorities and high-level political leaders understand the benefits that AI can bring to their work. The hacker spies who brought lots of highly classified data into the hands of the Chinese intelligence gave a demonstration of high-level political support and investments in data skills to Chinese authorities. Those hacking cases from 2011 to 2015 brought hypersonic missiles and other things into the Chinese hands. And still today we discuss how we can stop AI development. So, maybe the Chinese want to be number one in AI development. 

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Morgan Stanley's report says: 

- China is becoming a world leader in AI because of government support and its focus on computing efficiency.

-The country’s AI industry and related sectors could grow into a market valued at $1.4 trillion by 2030.

-China’s AI investments may break even by 2028 and deliver a 52% return on invested capital by 2030.

-U.S. export controls could create barriers for AI development in China but won’t stop its progress.

- AI is likely to boost China’s GDP growth by powering investment in the next two to three years and improving productivity over the longer run.

https://www.morganstanley.com/insights/articles/china-ai-becoming-global-leader

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They can make things like AI-spying tools that operate in the net like ghosts and steal data from anywhere they want. And that data can be driven to another AI that makes models for the manufacturing platforms. Maybe we say to the Chinese that they should not steal our data from companies who spent years on that thing. But maybe the Chinese will understand us, and stop making those tools. AI is the new tool for the arms race. It can collect data from multiple sources and then use that data to make new solutions. One version of how the hostile actor gets access to data is to cheat people using that actor’s AI. That thing can happen simply by offering better tools for people. That tool can copy data to the databases, where intelligence officials can have access. But how to remove warnings and things like censorship? 

The Chinese AI refuses to discuss things like the Tiananmen incident, where Chinese authorities crushed the opposition. One version is simply to make their AI for foreigners and then that AI can dump data to the PLA’s intelligence section. That means the AI can operate like any other AI. But it dumps data to China by using backup backup. So, if some Western actor can make something using those AIs that means they make backup copies of that data straight to Chinese intelligence official's servers. 

This is one of the things that we must realize. When we put limits on AI development. The high-level political support means that those AIs and other things are more effective than we even realize. That support means that those systems and their developers have full access to the user's data. So there are no breaks for that work. 

https://www.atlanticcouncil.org/content-series/strategic-insights-memos/assessing-chinas-ai-development-and-forecasting-its-future-tech-priorities/

https://www.ginc.org/chinas-national-ai-strategy/

https://www.morganstanley.com/insights/articles/china-ai-becoming-global-leader

https://techbriefly.com/2025/03/10/manus-is-china-ai-that-works-without-humans/

Sometimes AI is like a child.

AI is more toddler than terminator. So, we can think that the AI is like a child who controls things like robots, vehicles, rockets, and even weapon systems. When we think about the latest advances in the world of AI and the self-advancing, and self-developing AIs that can create other AIs, we face one big problem. The problem is that if we want to be effective, we must use AI. And most of the AI companies must find their funding from private persons, or customers who are willing to pay licenses. This means that normal users or license owners are not humans. They are companies whose purpose is to maximize the profits of their owners. That means the AI offers a tool that can kick coders out of the workplace. 

And those AI companies must always make new things for their products that their customers are interested in. And buy those licenses. A significant issue in companies is that they are privately owned. They are not controlled by the governments. Private companies do what their stock-owners want them to do. They can outsource their production to countries where there are no laws that control data mining and personal data collection.  Or, they can outsource their production to countries where authorities don’t care about those laws. It is possible to buy “special permissions” to collect that data for products that benefit the defense of the state. 

People ask for some leader who controls AI development. The problem is that AI development happens under private companies. Those companies have no right to make contracts and discuss their work between companies. Those things are limited by cartel directives. That means cartels are things that can deny discussions between companies and set common goals for AI development. The big thing is that the Chinese authorities and intelligence can establish cover-up corporations in some countries and hire AI specialists to work for them. That is the new way to make intelligence work. Those actors can simply hire software specialists who are fired from their work. In China, it is impossible to establish companies without the authorities' support and cooperation. If authorities have no access to private company servers that means the company stops its work. 

And then they can use people who have EU passports and citizenships for actors who make that company for them. Those people who work in PLA (People’s Liberation Army) intelligence have methods to persuade people who left China to cooperate with them. They can say that family members who will enter military service will face problems in that army. And for cooperation, those people should establish companies in some countries. And then the entire work that those people will make will be copied to servers that are located in Hong Kong and Beijing. That is one way to do business that benefits those Eastern actors. When people use Chinese AI they also deliver information to that country. In those Eastern countries, the security laws don’t limit the authority's access to people's personal data. And that means those laws obligate only private actors. 

The question is why do we make things like we do?

We all read discussions where somebody desperately writes that people use too much AI. We always read how students and writers use AI for their books. And then we forget to ask: “Why do they make that thin”? The answer is this: if you are a writer or somebody who does creative work, well, creativity is a hard thing if you must earn money from creative work. The requirement is that a person makes texts and draws without mistakes. And follows orders. Most people who work as creative workers are not painters or novelists. They work in the commercial business by making quite boring commercials. They don’t paint things like Mona-Lisa paintings. 

That means people might think that AI lets them go easily from the problem. If they give a job to an AI that works for them. In places like colleges and universities, many students are very young. And if one of them starts using the AI, that person pulls everybody else into that thing. The main component in working life is effectiveness. If you make too many mistakes, you are fired. If you write too few texts or take too few pictures, that means that you are not an effective worker. AI is a tool that can give solutions for that thing. It offers tools that make everybody effective. 

When we use AI we must ask from the mirror, do we use that tool because of our free will? Or, do we need to use that tool, because that makes us effective? The thing is this. Private companies have only one purpose. They must bring money to their owners. That means those companies or their leaders must maximize their profits. And that is the key element for the AI use. The AI is a tool that maximizes the effectiveness in working life. It makes everybody creative and productive. That means everybody can make nice images and other kinds of things by using AI. 

And then we can see one thing that we might be afraid of. That AI removes drawers and some coders from the offices. That means AI destroys creativity. Creative workers are individual actors from the point of view of a company. That thing means that those individual actors are hard to replace.

If some work depends on the person’s individual skills. That can cause problems in the workplace. Companies need productive and creative workers. But at the same time, the company wants to control those things. 

AI is the tool that instrumentalizes creativity. The company that owns the AI license can control the tool that a person uses for creative work. When a company takes the tool from the worker’s hand, that means the worker cannot do that work anymore. All individual workers who have skills that are hard to replace involve risk. That risk is that the person starts to rebel. If a person is hard to replace that means companies must sometimes show more tolerance than with other workers. And that is always a problem. 

Researchers found interesting things in brains.

Researchers found new interesting details in human brains. First, our brains transmit light. And that light gives an interesting idea: could brains also have optical and photon-based ways to transmit data between neurons? And if neurons have that ability, how effective and versatile it is. We know that there are no unnecessary things in our brains. So that means the light in our brains must have something to do with neurons. But do neurons use that way to transmit complicated information or is it meant only for cleaning neuro-channels? 

That interesting light causes the question: does that effect have some connection to light that people see when they visit near death? When we think about death the neuro channels will empty from neurotransmitters and electric phenomena. That means our nerves are more receptive to those signals than usual. So could that light have some kind of interaction between neurons or axons? Is there some point in neurons that reacts to that ultra-weak photon emission, UPE? 

Does our own neural activity cover that light below it? There is an observation that dead organisms shine dimmer light than alive. And maybe that light turns dimmer when the creature closes to death. There is an article in the Journal of Physical Chemistry Letters, “Imaging Ultraweak Photon Emission from Living and Dead Mice and from Plants under Stress” that introduces ultra-weak photon emission from dead mice and plants turn dimmer. 

And the question is this: can humans see that ultra-weak photon emission and its changes subliminally? The article says that all living organisms shine weak light that disappears when a creature dies. Also, things like mammals shine IR-radiation but the main question is can the ultraweak photon emission, UPE happen on purpose, or is it some kind of leak? And can humans see that phenomenon but that observation cannot reach our consequence? 

There are two things that self-learning systems must do to become effective. Effectiveness means that the AI or human brains should ignore irrelevant information. If that thing doesn’t happen, it grows databases and data mass in the system. When the system makes a decision, it must select the right data from the data that it has. And then the system must make decisions using relevant data. This makes the situation problematic. The system must decide what kind of data it needs in the future. 

And that is quite hard to predict. When we learn something we cannot be sure do we need those skills anymore. Maybe we don’t need skills that we learn in the military ever after that. But as we see, the future is hard to predict. The other thing that the AI must do is to adjust its processor's actions like human brains do. In human brains, brain cells have multiple frequencies in oscillation. Scientists say that those differences in oscillation frequency are to avoid rush hours in axons. 

That thing means that brain cells give time to clarify axons. Because brain cells have different frequencies that make it possible to control axons and deny the situation that multiple neurons send data into the same axon at the same time. Those multiple rhythms allow the brain to avoid rushes in axons. The same thing can make a fundamental advance in technology. If we think about the situation that the system that runs AI doesn't have a controller that includes system architecture that makes processors operate a little bit at different times that causes a situation that all processors send data at the same time to the same data gate. That causes a rush and makes the system jam immediately. In the electric systems the system that uses electric impulses for data transmission. 

Processors. That operates in the same moment. Can form standing waves in the data channel. And that burns the system. There are many interesting details in the human brain. That thing opens visions that maybe brains might also have an optical way to transport information. Researchers try to find out the purpose of that light. And if they find a point in, or on neurons that react to that light, they find a new level in their brains. Another interesting detail is that different parts of the same neurons learn in different ways. That means that the neuron itself can be more intelligent and versatile than we thought. 

https://neurosciencenews.com/hippocampus-neuron-rhythm-29277/

https://www.psypost.org/different-parts-of-the-same-neuron-learn-in-different-ways-study-finds/

https://www.psypost.org/neuroscientists-discover-biological-mechanism-that-helps-the-brain-ignore-irrelevant-information/

https://pubs.acs.org/doi/10.1021/acs.jpclett.4c03546

The AI removes trainees from workplaces. And that is not a good thing.

The AI doesn't take your jobs. It denies new workers to come to the field. That causes questions about how workers can improve their skills. The AI doesn't take your jobs. It denies new workers to come to the field. That causes questions about how workers can improve their skills. What if humans especially ICT workers lose their basic skills? What if all programming turns into cases? Where does the system worker just give orders to the AI? Using normal language. Then the AI follows instructions like a human coder.  

But the main thing is that the requirement of effectiveness and ultra-capitalism forces company leaders to make that choice. They choose AI instead of hiring programmers. And that is one of the biggest problems in the ICT business. But then we must remember that today is the end of the road. AI is the solution that is the next step into the continuum where things like encoding software are outsourced to countries like India. Western coders didn’t get jobs because it was cheaper to hire experienced workers from India or some other far-east countries. 

When companies outsource encoding to the Far-East they become vulnerable for that work. That means that those workers are working in countries that are members of BICS. So those workers can work under the control of intelligence or other authorities who order them to make spyware and other malicious tools. We are people who live in Western democracy. We learned that if somebody acts as a spy that person will be arrested. The same way we believe that if somebody hacks into some country, we must just request that those authorities arrest those people. We didn’t expect that those hackers worked for the Chinese intelligence service or government. They were protected by the government. 

The next logical step is that the AI starts to work with codes. And that takes jobs from humans. This thing means that the programmers lose their basic skills, and without basic skills, they have no advanced skills. Programming is like learning things. If we compare the programmer’s advance with going to school, we must realize that every person in the world writes their first words. Before that, they must learn to read. And every single person reads their first word once. Before we can learn advanced mathematics, we must learn the basics. So we all calculated once 1+1=2. If we don’t learn the basics we cannot learn anything new. 

And that is the beginning. Without the first class, we will not learn anything. In the same way. When we want to learn to encode or make computer programs, we must learn basic skills. Without basic skills, there is no ability to learn advanced programming. If companies don’t offer jobs for trainees that means people cannot learn skills that they need at an expert level. 

That thing has a reflection across the entire ecosystem. If the boss doesn't know what codes are made, that can cause problems. For observing and surveilling henchmen work the boss needs to know what they do. And if the boss doesn’t know what henchmen should do, that causes a situation where somebody can inject malicious code into the program. In the time of modern communication, the system needs less than a second to infect the target. 

There are articles. About a North Korean mobile telephone. That was secretly smuggled to the West. Those mobile telephones are the Orwellian dystopic nightmare. By connecting those mobile telephones with the AI the leader can surveillance every single citizen 24/7. The AI can tell if somebody uses forbidden words. 

And that causes a question: what if somebody slips that kind of mobile telephone into some general’s office? Maybe some key person’s family member will win a mobile telephone from the net. And then there are the surveillance programs. There is also a possibility that regular hackers have those telephones, and they copy and customize that software for their own purposes. 

Every expert has been a trainee once in their life. The requirement in working life is when a person comes to the workplace, they must know everything in the first minute when they open their computer. This is the route that offers the opportunity to AI. The AI learns things in minutes. Another thing that we must realize is national security. If we outsource critical encoding to some far-east country that means we cannot control what those people do. They can give the critical code to hackers who work for China or North Korea. In those countries, the government is the ultimate authority. There is no way to say anything against their orders. If the government orders people to work as hackers that means the person has no chance to say against that suggestion. 

And those systems can turn very dangerous in those cases. In the cases that somebody makes a back gate to the system, that offers a route even to critical infrastructure. What if somebody orders all Chinese-made routers and other network tools to shut down? That can cause problems in everyday life. And if one wrong microchip slips into the computers that control the advanced stealth fighter, that component can deliver computer viruses into the system. Or that kind of tool can steal vital data from the system. Every time when something is done outside the watching eye, there is a possibility that somebody will make something that can cause very big trouble. Things like microchips equipped with malicious software are tools that can break national security in large-scale areas.