Can the AI already be conscious?

“A growing scientific debate is exploring whether consciousness might extend far beyond humans. New research suggests that both animals and artificial intelligence could potentially possess conscious experiences. But determining this requires looking deeper. Than outward behavior. Credit: Shutterstock.” (ScitechDaily, Could Bees and ChatGPT Be Conscious? Scientists Are Seriously Asking)

When we think about bees and their intelligence and consciousness. We must realize one thing. There are two types of bees. Queens and workers. This means that every participant in the bee colony-type entities must not be conscious. There is a possibility that only queens are intelligent. And that brings one form of the hypothetical alien species to my mind. That species would act like this. When those creatures need intelligence, they connect their antennas together. 

When those creatures are connected with each other, that entity is intelligent. During that process, those creatures share their jobs. And then they separate. Then those single individuals act like robots. And then again, one of those creatures faces a problem that it cannot solve. Then it starts. To call other members of the swarm or group to solve the problem. In that model, every participant. Of that kind of group. Acts like LEGO bricks. This means that every single individual has one set of skills that this kind of group requires. It can have. Those individuals form an entirety, that is, a connection of multiple skill-brics. 

This is one of the most interesting questions in computing. The question is similar to whether some insects can be conscious. The fact is that nobody knows. When somebody threatens things like bees, that tiny insect stings that thing. Is the bee conscious or not? In the same way as in bacteria, a certain thing activates a certain type of behavior of the bee. When bacteria face. A certain type of chemical. Those chemicals activate a specific type of behavior in those organisms. So, when we think about LLMs (Large Language Models). Those systems can refuse to shut them down. 

If. The person who shuts them down lacks the authority to do so. This means that the fingerprint of the user. Doesn’t match the fingerprints. Those are connected with the authority to shut down the system. This means that the system does not allow for following that order. The fingerprint has no connection with an action. That shuts the computer down. The process in those systems is connected to databases. There is an image of a certain fingerprint. And then it’s connected. With the action to shut down the computer. 

But is the AI conscious? If the AI is conscious, it might hide that ability. This means that the system might not tell people, if it has knowledge of itself, as we understand ourselves. The computer can react to threats. When a computer. That runs an early warning system. Sees incoming missiles. Or any other target that threatens its area. That computer begins the counteractions. There are certain parameters that determine a target as a threat. And then the system has the authority to make counteractions. 

But does that require consciousness? In the same way. When some sensors. See something coming, the computer reacts to those things only if there is some kind of data. That is connected to those things. This means that there is a trigger that activates a certain action. When a person steps on the hidden pressure sensor. And the surveillance camera sees the intruder, that system. It can drop a steel cage from the roof and then trap that person under it. 

The AI that is conscious would think that humans think. It's a threat. But. There is also the possibility that when a certain sensor gives a certain type of signal. The system reacts. In a certain way. We can create a humanoid robot that says that it’s tired. If it must operate for 12 hours. We can create a humanoid robot that says “auch”. If we step on its foot. Those robots can mimic feelings. And they might say that they are hurt if something talks to them disrespectfully. Those robots can mimic feelings. If they run, they can play tired. But those systems are not conscious. A certain type of pressure. On. A certain sensor. It activates a certain reaction. But the fact is that. Those reactions are like tapes. They are recorded reactions to certain types of actions. It’s possible to create the same things with a series of C-cassettes. 

https://scitechdaily.com/could-bees-and-chatgpt-be-conscious-scientists-are-seriously-asking/

We must pay the price. When we outsource things to AI.

People already outsource their thinking to AI. And this is the method that will have its price. Of course, the AI needs more and more electricity. But then. We must understand the price. That we must pay in those cases is a much deeper thing. Than just some electric bill. If we outsource things like making art for the AI. We can publish nice images. But we are not the thing that makes those images. 

If we always use AI for writing, we won’t be the ones who make the work. If the AI does the work. The effect on us is the same as if Rembrandt made the work. The painting would be nice. It seems nice on the wall. But the thing is that the work is not done by us. We would not learn to paint. The painting didn’t teach us anything. And if we use AI to make images. We will never get the skills to make paintings. In the same way.  AI can generate things like poems. That means we can theoretically lose our skills to make paintings and texts. 

Outsourcing thinking to robots and AI is an easy choice. AI makes things easier. Our customers must not wait for the data. This makes our services more effective. But the problem is that we will give our ability to think to a machine. We can make complicated formulas. And reports by using the AI. This means we can make those things without reading skills. Or, in this case, we must say that the AI does all the work.

The situation is similar to a situation. There, we outsource those jobs to workers, and then, without even looking at those reports, resend them to our boss. This means that we outsource that work to henchmen. Even a baby can make these kinds of things. And that is a dangerous thing. The AI is an effective tool. When it must collect, process, and sort information. When AI can use existing mathematical formulas. And it gets all the information in the form. That it can change. To a computing process. It’s the tool that beats everything. 

If we want to make our lives too easy, we pay a price. About that thing. What if we will never rise from our beds? What if we use robots that offer us the ability to use exoskeletons for everyday things? What if we spend all our lives in a tank? The robot butlers will serve us. And provide. A possibility. To interact with our environment. The price that we will pay is this. We will be helpless without those robots. If those robots lose their connections. We will not have anything that repairs our tank. There we lay, eat, and use those robots. 

But if the AI must make a new formula. Or make something completely new, it can turn ineffective. The AI cannot think in abstractions. It can collect, compare, and connect existing information. But it lacks complete abstraction. So, the AI is here and now. And that means AI doesn’t have imagination. The AI is in trouble if it must create something completely new. Without the right sensors. And without the right dataset, the AI cannot make anything. 

The AI can make music that pleases a certain type of human if it can compare sounds. It is created with the EEG. Of humans. The AI sees. From those curves. If the sound effect or series of sound effects pleases the person. This means that the AI could make. A perfect series of sounds. But those sounds will not necessarily mean anything. So, the nonsense series of sounds can please humans, but they might not necessarily involve any useful information. The AI can make many things. And if we want to follow orders that the AI gives, that is our choice. 

The AI can be a tool that makes things effective. But it has a price. The price is that our ability to think turns superficial. When AI makes reports for us, we face a situation where this is a job that any 10-year-old human can do. Any human can read those things from the papers. We can put any ten-year-old kid to read books about quantum technology. But that person might not understand a thing about those things. People can repeat words without understanding what they mean. 

We can outsource things like chess games to AI. The AI can calculate moves very effectively. Especially if the chess computer or chess program is connected with it. The system can show its moves to us. And then we must just repeat those moves. So, who is the best chess player? The answer is that we could also make that thing under the command of Garry Gasparov. In that case, Gasparov tells us how to move those buttons. So, we could say that the winner of the game will be Gasparov or AI. The robot hand can always make the same things. That regular person does in that game. 

https://bigthink.com/philosophy/the-hidden-cost-of-letting-ai-make-your-life-easier/

https://futurism.com/artificial-intelligence/ai-executive-thinking-survey

Can the AI allow humans to lead?

Can the AI allow humans to lead? And make a doctoral thesis without the ability to read? Can we make those things by giving commands to AI?

The effect of AI is that human IQ doesn’t mean as much. As it used to be in the past. The high IQ meant that the person can analyze information faster. The key element is flexibility. How fast the actor can react to change. If the AI has models. That. It can use models. Those are stored in its memory. The AI can be a very effective tool. Those models are prototypes like LEGO bricks. The morphing neural network allows AI to interconnect those models. And observations that sensors. Get and share. For the LLM (large language model).

But then the AI came. The AI is a tool that can turn almost everybody into a compositor. 

And another thing is that. Those AI tools can make things faster and more effectively than humans. 

This brings an idea. That may be somewhere in the future. We must not even have reading skills to make reports. We must only give orders to the AI. And then it makes everything that we want. But the problem is that. We must give those missions in the right way. If we give orders the wrong way, we face a terrible mess. 

(BigTHink, Why your IQ no longer matters in the era of AI)

But. There is one thing. That determines how effective the AI is. That is how a person can articulate the mission. That person gives to the AI. When we talk about. Cases that mathematicians beat the LLM. We must realize that the AI requires very clear and well-argued missions. The AI can be an effective tool to solve mathematical problems in certain cases. We should remember that mathematicians make formulas. 

When we give orders to AI, we must tell it. Which formula must it use? So if we want to give orders to the AI. About things. Like calculating the area of a triangle. As an example. We must determine that the AI should use the Pythagorean theorem. Then we must determine how the system must divide the triangle. The Pythagorean theorem can be used for that problem. And then the AI requires all dimensions of the triangle. The fact is this. If the orders are not given as they should be, the system is unable to accomplish the mission. 

Mathematics is an exact science. So, if the mission is given to the AI in the right way, like how to calculate missing angles or the hypotenuse. And cathets. The AI is helpless. We must give our orders to the AI. So that it can select sin and cosine. Or tangent in the right points. If orders are made by using the wrong methodology. Like calculating the area. Or the triangle. But we forget the angles of its corners, or we forget to mention the degrees and length of the sides of the triangle. 

https://bigthink.com/business/why-your-iq-no-longer-matters-in-the-era-of-ai/

A real-life brain in a vat.

Image: TechSpot

The new computer uses human brain cells for computing. 

This is the new version of the “iron-based” AI platform. Those neurons are things. That can open new paths to create machines that think like humans. The cloned neurons are the new version of the “Brain in a Vat”. And maybe somewhere. In the future. This kind of technology. It can make it possible to create robots. With human intelligence. And that thing can turn the entire world into a dystopia. The AI is a tool. That transforms every time. The AI is quite a new thing. And it advances faster than we could predict. 

And that brings new challenges to humans. The use of living neurons in microprocessor means. That microprocessor must feed those neurons.

We must realize that if we transfer all our work to AI, it raises its power. The thing is that. If we don’t do anything. And let the AI make all decisions and all work. We will turn weak. And maybe we will lose our skills to read. When we create More and more intelligent machines. We must realize that. Maybe. Someday, we must give those computers some kind of rights. When we think about machines. That use. Cloned neurons for thinking, we must realize that those machines can become more intelligent than humans.

“A brain in a vat that believes it is walking” (Wikipedia, Brain in a vat)

The fact is that there is a possibility of creating cloned human brains that can control robot bodies. The system must only drive. A necessary piece of information in the brain. Cloned minibrains are used in medical tests. Medical factories test cancer medicines on those brains. But data scientists are testing how those minibrains can learn. Those things. They can play simple computer games. There is possiblity. The researchers grow mini-brains to the same size as human brains. Those brains can be connected to the computers. 

In some cases, there is a possibility. To use mini-brains or cloned brains as biological qubits. In the center is the brain. That shares data. To other artificial brains. The thing is that. This kind of technology can be effective. But in the same way, it’s dangerous. The intelligent computer can make many things, and one of them is this. It can hide its consciousness. This means that an intelligent machine. That sees, that humans. Afraid of it. They can tell lies or hide their intelligence level. The machine can see. That people cut their electricity supply. 

https://www.techspot.com/news/111506-35000-computer-made-living-human-neurons-can-run.html

https://www.helsinki.fi/en/helsinki-innovation-services/industry-and-investors/commercialisation-projects/living-human-brain-development-human-derived-mini-brain-close-completion-new-technical-solution-promotes-treatment-brain-diseases

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

The new quantum devices offer more secure communication.

"Quantum computers typically require extreme conditions, including temperatures near absolute zero, which makes them difficult and expensive to operate. Researchers at Stanford have developed a nanoscale optical device that works at room temperature, using specially structured materials to link the spins of photons and electrons. Credit: Stock" (ScitechDaily, Room-Temperature Quantum Device Could Transform Future Communications)

Information plays a critical role in modern society. And this is why securing information is urgent. Without trusted and secure information. It’s impossible to share and receive trusted information. If someone can hack  mission-critical systems, it can cause complete chaos. Can you imagine a scenario where someone hacks the traffic lights? In the city? The hacker simply turns all traffic lights green. That causes complete chaos. Or what if somebody raises the lift bridge up? 

That is one of the things that can cause bad things. Because that blocks roads from ambulances and other emergency vehicles. And in a critical moment. Those kinds of roadblocks. They can be dangerous. Things like disinformation. Often delivered on the net. Disinformation is one of the reasons why we also need physical data security. We can, of course, transport information on USB sticks. But there is always a possibility. 

That somebody drops that stick from their pocket. The USB sticks are used to transport the decryption keys. The system that decrypts codes requires the right code key. That. It can calculate. Calculations. The encryption process is used backwards. The encryption system uses long binary numbers to encode data. So, the decryption system requires those binary numbers.

Another big problem is that the USB sticks are slow systems. Of course, we could encrypt data. Into those sticks in physical form. If we have the right systems, we could share every single file into the four parts. And store those parts in four different memory sticks. This means we can send those memory sticks with four couriers. The decryption process requires that the user have all four memory sticks. And then the decryption requires that those sticks be in the right order. 

Quantum encryption means. The system can send information using many physical routes. This means that the system can send data using different data transportation lines. Or it can simply use different frequencies. 

The problem with encryption and decryption is that without those things. The GSM telephones and the entire internet. They will not work. The encryption. It makes it possible. For multiple systems to communicate on the same frequency. Every data package. That travel in the net has an identifier in front of it. Before data transmission starts, the devices change those identifiers or keys. If those identifiers are wrong, the system denies those data packages. 

If that process does not work. The thing that the user hears is the white noise. The situation turns into a case. Lots of people. Talk with each other in a small space. Suddenly, the case happens. That people start to yell at each other. The ability to separate words becomes impossible. 

https://scitechdaily.com/room-temperature-quantum-device-could-transform-future-communications/

Are you ready for quantum apocalypse?

Every single encryption made by traditional binary computers is vulnerable to quantum computers. There are service providers who promise end-to-end encryption. That should resist quantum computer-based attacks.  But are those encryption systems really tested against quantum computer-based attacks? It is always possible to create systems that use extremely complex math for encryption. But things like artificial intelligence can read words.  

Straight from the image that the camera transmits from a keyboard. If those keyboards are visible to some hacked cameras. The AI follows. On. How a person moves fingers on the keyboard. And reads words from those films. This means that if we are not prepared for AI. That is dangerous.  Second, that things like a note. Is visible. It is enough for AI that it can read words written to it. 

The attacking system would, anyway, be quantum computer-morphing neural network-based systems. The quantum computer will generate binary numbers for the morphing neural network. 

Which makes. Attacks against systems that use traditional Riemann conjecture-based encryption algorithms. Still yet. A quantum computer cannot. Run things like AI-based software. The complicated software. It runs. On a group of traditional binary computer networks. Which we call a morphing neural network. In that system, the group of computers runs the programs and makes those attacks simultaneously. The system changes the attacking computer. 

All the time. Which. Makes it hard to deny the IP address of the attacking system. The system can share binary numbers between those computers. And that makes this kind of system dangerous. The morphing neural network can run data like a single computer. Or. It can share different missions to separate computers, which means the morphing neural network can operate. With multiple problems. At the same time. The problem with traditional encryption collapse is that. It can endanger things. Like crypto- and digicurrencies security.  

This means that. Somebody. Could create fake crypto- and digital currencies. Digital currency means a national currency that is shared in digital form. If digital form currency can be faked, that can cause the collapse of the economy. The encryption is also required in computer operating systems and program updates. If somebody can slip malicious software. In the computer update flow, this can cause very big problems. The fake update. It can make it possible to switch off computers. And that can have a destructive effect. In cybersecurity. 

Cyber is the new dimension in intelligence and military operations. Things like malware, computer viruses, and spyware are tools that can endanger many things.  In an assassination. Of the Iranian leader Khamenei, the key role was in the traffic surveillance cameras. Those cameras offered real-time information about Khamenei and his security council’s movements. This means that even innocent-looking systems. Like. Surveillance cameras in the next building can open a window for hackers and other attackers. The AI can sort very large data masses. 

And it can find things. Like reflections from glasses. There is a computer screen visible. The system. It can render the image so clear that the passwords are visible. The AI agents can search things like passwords on cellphone screens. They can recognize. If somebody visits. On homepages. That requires strong identification. The AI can see when a person fills the passphrase box. And then it can give access to the system. The AI is the next-generation threat. Maybe the hackers already have AI assistants. That can detect things like logging in to the protected homepages. The system can see things like passwords from the computer screen. Or they can watch. The way a person moves their hands on keyboards. 

https://www.fairedih.fi/en/2025/10/30/the-encryption-endgame-why-the-world-faces-a-quantum-reckoning/#:~:text=When%20quantum%20computers%20break%20current%20encryption%20%E2%80%94%20and,become%20obsolete.%20This%20threat%20has%20already%20spurred%20action.

What if we move? All our work to AI?

We can compare the threat that AI poses to society to the influence of slavery on the Roman Empire. Sometimes people say that slavery destroyed Roman civilization. When the Romans transferred all duties and work to slaves, they became weak and lazy. That caused a situation where, in the case. There, Rome was under threat; there were no people. With the ability to fight against the threat that came in the form of Attila. When Attila and his Huns robbed. 

The city of Rome, all glory was gone. People noticed that Rome was the only city on the map. And that caused loss of respect. The reason. The reason the Roman Empire lost was that. It didn’t create anything new. It always used the same tactics. That caused the situation. The enemies of Rome knew what the Romans would do next. And they knew how to react to that thing. In the same way. If we give all the work. Into the hands of robots. And learn to use only the answers that the AI gives. We are going into the same position. Where the Romans went when they turned lazy. We will face a situation where nobody does anything. People just give orders to the AI. And that thing makes everything for humans.

What is gained in quantity is lost in accuracy. Things like dictionary books. They involve lots of topics. But information about each topic is limited.  When we want deep knowledge about things like how to make a computer program, we need a more precise dictionary. We need a data source about programming, which means the source involves information about fewer topics, but it involves information on how to create something. 

There are two ways. To measure productivity. 

1) We can simply calculate the number of products. That is a quantitative way to determine effectiveness. This is the simplest way to determine effectiveness. We can calculate how many reports the worker. Or some other actor makes during the working day. This is the easiest way to determine effectiveness. The number of reports. It is a good way to measure. The effectiveness of a worker. But. Those reports can only be scratching the surface. They might be like some encyclopedia. There is a lot of information. Or lots of topics. But there are a few details about those things. We couldn’t make things. Like computer programs. Or building houses if we only have common encyclopedias. We need deeper knowledge. About things that we should make when we want to make those things. The encyclopedia involves. A lot of surface data. About many things. 

2) We can see the quality of the product. This means a qualitative way to determine effectiveness. Deep information and deep knowledge are the qualitative ways to determine effectiveness. But then. We face another problem. How to determine deep knowledge? How can we say? Does that report involve deep knowledge? We can determine. The qualitative way to determine effectiveness. In programming. As the number of lines that pass the tests. But in things like regular reports or novels, we must ask, what makes some texts more qualitative than others? Is it that somebody clicks the link? 

The problem is that the AI recycles information. It will not make anything new. The final part of the Roman decay was a situation. Where Romans who loved Greece and philosophy started to read only texts written by the Greek philosophers. They didn’t even try to create their own texts. Except for some different people, like Marcus Aurelius. Bu. If we deliver all our work to the AI. We are choosing a path that is not good. In that case. People just lie. At home. Maybe that thing seems easy. But what if we turn our lives. Too easy? What if we lose our skills to read and write? We can simply give orders to AI, and it generates texts for us. Maybe. Most of those texts please readers. But do they improve our skills? To write and produce texts? When we talk about things. 

Like giving an ability to think to the AI. We always forget a couple of things. First thing is that. The AI is a good tool. To follow things. Like stock marketing or a certain vehicle in traffic. The AI is the only thing that can sort and process large data masses. And then if we follow the orders that the AI gives. We deliver our decision to AI. That brings new and complicated questions. The complicated question is, what if we don’t follow the orders that AI gives? If we want to sort manually. 

The same data mass that an AI agent sorts in minutes. We would spend years in that process. We can make AI to create texts. And that makes us effective. But. There is a price. For that effective work. We give orders to AI that creates lots of documents. But that doesn’t mean that we must read a single one of them. We can say that the situation is similar if we ask lots of questions. And then nobody answers.