The human worker can be cheaper than the AI. But there is more…

The race between humans and AI is more complicated than just money. There are stories that hiring human workers is just cheaper than developing the AI. This is one of the things that should support humans. But then we face one thing. Working and workers are much more than just their salaries and work. When we think of robots that work in factories, those machines can be more expensive than humans. In a short period, the cost of those machines is far higher than that of humans. 

We think the first step. The short-period costs. But then we must realize that the robot. It is not in its position for a couple of weeks. It has the guarantee. The robot can operate for years in some shopping centers as a cleaner. Things like low-paid cleaners give a bad image. For places like shopping centers. So. Reputations and other kinds of things are also connected to workers. The worker is not only the thing. That needs a salary and working clothes. Things about what the worker looks like and how the worker behaves are also important. If a worker is alone all the time. Or the attitude to work is negative, which causes burnout. And workers must sometimes pass things like security checks. That causes costs. 

The other thing is this. If  software engineers run multiple AI agents. At the same time. And those AI agents replace five human workers. The costs of those AI agents can be higher. Than the salary of the engineer. But is it higher than those five workers? Another thing is that. The AI costs. They are about 10-200 euros  (dollars) per seat. So the operator can operate as many seats as they want by using remote control tools. This means that every AI agent costs 200 euros. But there is no human. Required for those remote seats. And I think that the worker costs more than just 200 euros/month. In the case that the operator operates five 200-euro remote computers with a 2000-euro salary. The costs of those AI chatbots are 1000 euros. So they can be higher than an uneducated person’s salary. But the problem is that. The uneducated person might not know what to do. 

The purpose of the workplace is not to pay for nothing. They must make money for their owners. This means that the worker, private corporations, and the state do not have the same assets. The state needs taxes, and workers need salaries. And the company owners want money. The last two actors don’t want to pay taxes. And the salary is not the only cost of the human workers. They need working clothes. They need breaks. And they need rest. The human worker can steal. Or, open the door to the wrong persons. 

But then we must remember that the robot or AI doesn’t need breaks. They don’t need salaries. They need only electricity. If we want the AI to work 24/7/365, that means the workplace needs three human workers for that kind of thing. The workplace needs a different person. For day, evening, and nightshifts. This means that. The effectiveness. Of. The AI is crushing. Then another thing is that. The human worker can be hidden for permanent work. Or they can be fixed-term employees. This means that the AI can replace humans. Who are hired for fixed-time projects. The problem with AI is that. It doesn’t seek jobs from competitors. It doesn’t strike. And it doesn’t need any kind of breaks. 

Human workers can change their workplace; they can tell things. That they should not tell. And when. Human workers are needed; they can have working contracts with other firms. In the same way, robots can seem expensive. But robots don’t need breaks. They have no family at home, which disturbs their focus. A robot can make products 24/7 without a salary. The robot will not get infections. This means that the workplace doesn’t need to hire deputies for those places. It’s hard to get a well-trained short-period worker who can replace, for example, a sick engineer for a couple of days.

And those things are always important when the AI acts as a competitor to humans. In old-fashioned production lines. Human workers are important. But the humanity or psychological aspect. Is the thing that makes human workers “not suitable” for human workers. The working life requires things that are not suitable for humans. The requirement for effective working means that the system benefits the AI. The problem is not in the AI. It’s in attitudes. If a worker falls from working life. It's hard to get the route back in there. 

https://futurism.com/artificial-intelligence/bosses-more-money-ai-agents-human-salary

Drones are the next step in the evolution of the battlefield.

Drones are insects of the battlefield. They are like intelligent bullets. And the main thing is that. Their operators don’t. Basically need. Of any kind of training. The R&D cycle in drones is very short. And that’s why drones can be used to test aerodynamic solutions for aircraft. They can be used for intelligence and tactical reconnaissance. And kamikaze operations. When the drone travels to the target. It can also send information about the battlefield. The same drone that makes kamikaze operations.

It can also transmit enemy locations for friendly forces. Drones can also carry loudspeakers for psychological operations.

The philosophy in drone warfare is this. Which one wins, the swarm of bees or the tiger? The fact is this. If those bees know where to put their stingers, they can beat the tiger. Those bees must know only the weak point of the hair of that cat. Then they must just attack. In this version, evolution chose the structure that is less complicated and less dependent on individuals. Than that of the tiger. This means that a bee swarm is a formation of individuals. Those are easy to replace.

The bee swarm can lose a couple of its members. And those insects are easy to replace. This is one of the things that we must realize. One drone might be simple and easy to shoot down. But when even thousands of drones attack the defenders, it means the defenders are in trouble, even if those drones cannot make an escape. And decoy maneuvers. The defender must destroy all incoming drones. That causes a situation. The defender runs out of ammunition. This requires the ability to use things. Like directed energy weapons. Even a small drone can cause vital damage to the high-tech fire control systems.

When we look at history, we know that things. Like naval air wings and submarines were critical tools in Pacific campaigns. The U.S. Navy didn’t start. To use the naval air wing as they use it for free will. Japan forced them to make a decision. To give the prime role. In the Pacific campaign, submarines and naval aircraft.  Japanese naval aircraft destroyed most of the Pacific fleet battleships in Pearl Harbour. So, the U.S. Navy must find a replacement for the battleships. And that replacement was submarines and a naval air wing.  

“Drones are prepared for use at a March 2026 exercise led by Joint Interagency Task Force 401 at Joint Base Andrews, Maryland, on March 18, 2026. U.S. Air Force / Senior Airman Julia Lebens” (Defense One)

In the same way. Lack of tanks and anti-tank helicopters forced Ukraine to find a new system that can destroy tanks. The answer was drones. There were experiences with drones from Afghanistan. First, drones were large, slow-flying. Remotely-controlled aircraft. But then the enemy learned to live with those slow-flying tools. And today. The MQ-9 “Reaper” drones face the biggest losses because they are easy targets. For air defense. The advancement of evolution chose a new route. To the route that is known from bee swarms. The large-sized drones. Replaced by using the swarms of small kamikaze drones.

Those kamikaze-drones. Can operate by using web- or cloud-based architecture. Those kamikaze-drones are very simple tools. They can be manufactured in container-sized automatic factories by using printer technology. The AI-based systems. Can load the algorithms into the drones. That they manufacture. The operator can load the electric engines. And micro-electronics to the magazine in the mobile drone factory. The 3D printer can make the trunk for drones, even from plastic or metal garbage. This is the new advancement for drone technology. The defense and offense technology can be modified to react to those threats.

Fast advances. In drone technology. Mean. Nations and actors must adjust their counter-drone strategies. The Pentagon saw that the regular and existing tactics against drone swarms are useless. This means that Western nations should share and benefit more from  data. That. They can collect. From the Ukraine war.

The fact is that. Ukraine has the latest experience. From drone and anti-drone operations. Drones are not toys. They are easy to get. And they are easy to transform into weapons. The underestimation of drones can form the new Pearl Harbour. Even small drones can destroy the large radar sets and communication platforms. They can make holes in submarines’ hulls. And they can be used. To prepare the area for a larger-scale and more expensive missile strikes. Drones can make surprise attacks. Against early warning radar systems.

https://www.reuters.com/graphics/UKRAINE-CRISIS/DRONES/dwpkeyjwkpm/

https://www.defenseone.com/threats/2026/04/pentagon-ukraine-counter-drone/413087/

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

https://medium.com/@batrobin/drones-are-the-next-step-in-the-evolution-of-the-battlefield-fabe5697b422

Some people are concerned about the Claude Mythos program.

The “Mythos” is Anthropic Corporation’s most powerful tool. The tool is an AI-based vulnerability testing tool. The tool is created for “Project Glasswing”. Whose purpose is to develop new tools to map vulnerabilities in systems. The problem with that project is that all vulnerability testing tools are suitable for hacking. One of the things that disturbs people is that Anthropic didn’t offer its AI to the public. 

“So rather than make it widely available to Claude users, Anthropic gave 12 tech companies access via Project Glasswing, which it described as "an effort to secure the world's most critical software". (BBC)

This means that 12 companies can have access to all data on the net. 

Vulnerability testing is vital for the systems that should be protected against hackers. The Mythos tool is not public. And I think that the users must be accepted. For the user, by using some special methods. The main problem is that hackers will not tell people that they are hackers. They might look like regular vulnerability testers.

But those people can act as real attackers. The problem with hackers is that they can look like normal people. And they can use these kinds of tools to prepare. Or make cyber attacks. In the best scenarios. Those hackers can use a firm to order those hacking tools for them. Because some firm pays the bill. The hacker’s identity is not uncovered. 

“Ciaran Martin, former head of the UK's National Cyber Security Centre, told the BBC earlier this week the claim Mythos could unearth critical vulnerabilities much more quickly than other AI models had "really shaken people". (BBC)

"The second thing is that even with existing weaknesses that we know about, but organizations might not have patched against, might not be well defended against, it's just a really good hacker." He said.” (BBC)

The main problem is this: only good hackers can find the weaknesses that other hackers can use. The same programs that uncover malware. Can turn into malware testers. Hackers can use those tools to test their code against firewalls and virus scanners. The AI is a tool that can detect vulnerabilities faster than ever before. The vulnerability means. The hackers can use vulnerabilities only. If they know about them. And if hackers know some kind of vulnerability before the “good guys”. That can open up lots of data to bad boys. Some people believe and fear. The AI development. Turns so fast that nobody can control it. 

https://www.anthropic.com/glasswing

https://www.armorcode.com/blog/anthropics-claude-mythos-and-what-it-means-for-security

https://www.bbc.com/news/articles/crk1py1jgzko

https://www.forbes.com/sites/jonmarkman/2026/04/08/what-is-claude-mythos-and-why-anthropic-wont-let-anyone-use-it/

From ultra-fast quantum materials to the historical computer comeback

“Scientists have discovered that superconductivity can be controlled by manipulating a material’s surrounding environment, offering a new way to influence how electrons behave. The finding challenges conventional assumptions and hints at unexplored mechanisms. Behind this elusive phenomenon. Credit: SciTechDaily.com” (ScitechDaily, This Strange Material Can Turn Superconductivity on and off Like a Switch)

The new material can switch superconductivity on and off. That makes it an ideal material for superconducting components. Like switches and gates. “A logic gate is a device that performs a Boolean function, a logical operation performed on one or more binary inputs that produces a single binary output. Depending on the context, the term may refer to an ideal logic gate, one that has, for instance, zero rise time and unlimited fan-out, or it may refer to a non-ideal physical device (see ideal and real op-amps for comparison). (Wikipedia, Logic gate) 

Superconductivity. It is important for the table-sized quantum computer. Superconductivity means that the resistance cannot disturb signals that travel in the wires. That is one of the requirements for the electric quantum computer. It can work as it should. 

The new material. That can switch between superconducting. And resistive states can make. The new. Ultra-fast binary computers. And table-sized quantum computers. Closer to reality. The ability to switch the superconducting state off and on makes it possible to create super-fast gates and switches. Into. The superconducting systems. 

This means that. In a low-voltage system. The wire that can switch the superconductor off and on. Can. Itself acts as a switch or gate. In that version, the transistors are turned into superconducting. And. The ability to switch the superconducting on and off limits the possibility that electricity jumps over the switch. 

How fast is this action?  It depends on how fast the system can switch to superconductivity. And out of it. This ability. Makes it possible to create more effective computers that use less electricity. 

“Development of the mechanical computer.” (Interesting Engineering)

Mechanical computer. 

Mechanical computers that store information in spring systems are one version of things that can make a comeback from the past. The spring computer, or mechanical computers, are immune to things like EMP pulses. So, mechanical computers can operate in the high-power EM fields. Those systems can make it possible. For the electronic computer to call the data for the new operating system, if the old one is corrupted. 

The system can drive things like diesel-engine operating robot cars out of the dangerous EM area and then call the dataset for fixing damaged programs. The mechanical computer can store data in many ways in springs. The spring pairs can store information like a binary computer. The first spring means zero, and the second one means one. Or. The spring can push and pull the switch into position. There is position one. Is zero, and position two is one. 

The U.S. researchers made. A fully mechanical computer that doesn’t need any kind of electricity. This kind of mechanical computer can operate mechanical systems. And this is one of the things. That can bring new ideas for robotics. The system can transform mechanical movements into electricity by pushing or switching the switch between on/off positions. The “on” position means one. And the off position means zero. This means that a computer is not always an ultra-fast system. 

https://interestingengineering.com/innovation/battery-free-computer-using-mechanical-springs

https://scitechdaily.com/this-strange-material-can-turn-superconductivity-on-and-off-like-a-switch/

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

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

Is AI just a tool?

“A new study explores how interactions with generative AI may influence the way people form and reinforce beliefs, particularly when technology becomes part of everyday thinking processes. Credit: Stock” (ScitechDaily, Is AI Really Just a Tool? It Could Be Altering How You See Reality)

Somebody thinks. That AI is just another wheel. The AI is something that we use, and that’s it. But. The big thing. In AI, it is that. It’s far more. Than just some kind of tool. The AI is a flexible model for information. AI is like a human; it just doesn’t create information from emptiness. It processes information. That it gets from different sources. The system involves an algorithm, the program that collects information from sensors and databases. Another thing. In. AI is a computer program. The AI collects and processes a lot of data. But the problem is that. It uses databases. It doesn’t actually know if the information is false or true. 

In the same way, AI doesn’t think for itself about whether something is moral or ethical. The user teaches AI. And. The user selects what is right or wrong. And that is dangerous. There are people who are not normal. And if those people train an AI agent. That thing can turn into a catastrophe. The AI itself doesn’t cheat. It’s programmed to cheat. 

But humans either automatically know. Is the information. That we get true or false. Another thing is that the AI has an addictive psychological ability. Users select AI. That they feel most comfortable. This means that programmers do a lot of work to create AI that pleases users. And that is the thing that sometimes gets too far. The AI is a tool that is coming. The AI. It can have similar effects to net porn and some computer games. The AI can addict people. And they spend too much time with it. So, they get a headache. Sleepless and many other things, when they create things with AI.

 AI might look and feel like. A real human. It can discuss with people. And that forms an illusion that there is a human on the other side of the net. The AI. It can mimic feelings. And give advice. That feels very effective. But there are limits to the AI. And its use for things like a therapist. The AI should not have access to give psychotherapy. And the second thing is this. There must be some limits on things. That the user can ask the AI to do.  If a person asks AI to complete violent requests, they should have access to, or the order to, call a psychologist. 

There must be some kind of protocol that allows AI to pick dangerous people, like serial killers and suicide candidates. We know that there are lots of people. Aho asks the AI something that they would not dare to ask a real humans. The AI is a tool that can be a very good customer service agent. But the same thing that makes it a perfect customer service agent makes it a bad psychotherapist. The psychotherapist must dare to say if something is not as it should be. 

The AI has an algorithm that pleases the user. And in some cases. The AI tries to please the user at the wrong moment. The AI must have access to say “no” or refuse to do things that people ask. In the cases of depression, the AI that pleases the user can cause horrible things. When we say that AI is safe, we mean that the AI is safe for regular people. We don’t normally think that some very dangerous people can use AI. In those cases, the AI can incite people to make decisions. That causes bad things. The AI is a tool. That has a very big effect. 

https://scitechdaily.com/is-ai-really-just-a-tool-it-could-be-altering-how-you-see-reality/

Innovation is not the end. It just changes its shape.

Does AI destroy program development? Or, does AI destroy innovation? That is a good question. We must realize that there is no endless need for computer software. Not even games have a space or markets in the endless innovation and new products. This means that there is not. A possibility to create new things endlessly. There is a point that we can call: the Omega point. There is no room to continue the R&D process on that path. This is one of the things that we must realize. The AI is a tool that can make many things faster than humans. 

Wikipedia determines innovation like this: “Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity. Realizing or redistributing values". (Wikipedia,https://en.wikipedia.org/wiki/Innovation)

Others have different definitions; a common element in the definitions is a focus on newness, improvement, and the spread of ideas or technologies.” (Wikipedia,https://en.wikipedia.org/wiki/Innovation)

Soo. If. We think about. In software development, humans are the things. That makes innovation. The economically successful innovation itself. Needs somebody interested in the product. But then we must realize. That. The innovation forms from an idea. Innovation requires an idea. And need impact.  If innovation and customer meet, and the customer feels the need for that thing. 

The innovation can turn economically profitable. But. If people think. That they don’t need some innovation, that destroys innovation. The fact is that we don’t need endlessly new software. And that is the thing that we must realize. If we make programs for the garbage, that is programming for nothing. If we work for nothing, that is a loss for the firms that we are working for. 

Programming and innovations are not over. But they get a new shape. Tomorrow, people will give. The requirements specification for AI. Which responds to those needs. And turn them into parameters. That allows it to make things. 

The purpose of the firm is simple. It must bring profit for its owners. This means that the programming is not an absolute value. There must be somebody who buys software. In modern firms. There are only a couple of people who really innovate the things that the firm sells. In games and other programs, the user interface and graphical design are important. And then the programmers must make the code. 

That is fit for those models. Most of the programs. Are games. And games. They look very much alike. Like each other. This means that. There is a question. Is there room for new ideas in the programming industry? And is it possible to create new ideas in that sector? The big thing is that. Customers care about whether the program works, not who made it. 

So, AI brings new things to the software industry. But. New things cannot be built on the old ones. The old models must someday be crushed. That brings space for new innovation. We must realize. That we cannot endlessly run. On the antique methods. And using antique production tools. The new tools bring effective methods. And the AI is a tool that can replace people who do mechanical work. Like copy-paste codes. And this means. The people who know what to do have a job. But. That causes loss to the trainees and junior coders. This means that the AI will do more. And more programming work in the future. This means programming is not over. But it gets a new shape. 

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

Optical encryption boosts networks.

“The image conceptually represents the compact, chip-scale platform integrating the 5×5 VCSEL array and custom beam-shaping optics to create a structured grid of uniform square spots. Credit: H. Safi (University of Cambridge)” (ScitechDaily, Forget Wi-Fi This Laser Tech Hits 360 Gbps at Half the Power)

Encryption protects information that travels on the net. But it also protects the system from unauthorised code. If the bit that travels to the system’s gate is wrong. The system denies access. To the system. This also makes it possible. To use the same data line with multiple devices. The same optical fibre or laser beam. It can transmit information to multiple devices. At the same time. The encryption process means that each participant. 

Of the receiving system cloud, like drone swarms, can take their individual orders. The idea is that the lidar system can use the broadcast address. Or the individual participant can pick. The “personal” orders by blocking others. Than the bits that are meant for that participant. The user can give orders to the entire cloud by using the broadcast address. And then. Click on one participant, which means the participant knows. 

That the next orders are for it. When the operator clicks the icon or the point. There, the drone, etc. is. The drone sends BizTalk information to the transmitter. The BizTalk includes the individual receiving address. And then the system can start the private communication. The optical communication means that drones can have small screens there are certain images. Those images can tell a certain. The individual drone that. The next commands are for it. 

The primary concern with WiFi in secure communication is that it can be eavesdropped upon. The laser-based communication is safer. But it doesn’t completely solve those problems. There is a possibility that using scattering effects, such as micro- or nanoparticles, may make the laser beam visible from the sides. When a nanoparticle goes into the laser beam. It can aim part of that radiation to the sides. 

This is one of the weaknesses in lasers. Another thing is that. The laser beam must have a straight line of sight to the receiver. The same thing. It can make it possible to use laser communication in a room. The laser beam can be directed to the glass box.  There are nano-particles in the box, and that makes the thing look like a light bulb. The receiver can see that thing from every side. And it can make this type of communication more secure than traditional WiFi. The data can travel between rooms through optical fibres. 

When we look at. The laser-based communication, the laser beam, or the laser beam pack, can form the mosaic. That mosaic can be used to form images. The image is the thing. That acts as one of the encryption keys. If that mosaic image. Which could be geometrical. Or it can portray some  character, it's right, the system reads the bit. If that image is not in its memory, the bit is denied. In those cases. 

The image is the key that opens the system’s gate to the message. The message is, of course, open for the system. Only if it travels through the gate. This means that the encryption also protects the system from malicious code. 

The encryption prevents the system from opening its gate for unauthorised code. 

There is a possibility that laser holograms can replace the radio-based WiFi in secure data communication. The hologram. It can have a certain shape. Like a statue. The receiver can use a regular camera to recognise binary communication. 

The system can use quantum or semi-quantum communication. The shape of the hologram statue. Tells. The receiving system receives information. That the system transmits on purpose.  The shape of the hologram acts as a key that activates the decoding system. If the image that the system sees is wrong. And. If it is not stored  in its memory, the system will not recognise that information. 

This means that there are many ways to secure information. The hologram, the colour of the hologram and its blinking sequence. The hologram itself can also be covered behind the blanket. Or it can be in the box. That allows the user and the computer to see it. That hologram can look like some art. And that makes the encryption hard to break. The hologram will not transmit information if there are no authorised users in the same space. 

https://scitechdaily.com/forget-wi-fi-this-laser-tech-hits-360-gbps-at-half-the-power/