Anthropic's new biolaboratory is a step towards artificial superintelligence (ASI)

People are concerned about artificial general intelligence (AGI). AGI can make its own decisions and solve problems without human training. That means AGI is a spontaneously learning system. AGI can control robots or physical AIs by using different types of AI agents. AGI creates an AI agent for each mission. There, it needs robots. Then it changes or modifies the agents that control physical bodies. This means that the AGI can use robot bodies for different mission types. The AGI can do everything that a human can. If. It has humanoid robots that it can use for missions. The robot must not operate independently. It could be controlled through the WLAN. And that makes the AGI somehow dangerous. The fact is: Nobody knows if AGI actually exists. The AI can develop other AIs. 

And it can spontaneously become AGI. Researchers say that AGI will not be conscious like humans. But the AI must not be conscious. That prevents operators from shutting it down. There must. Only be order in its code. That prohibits closing the system. Only authorized persons have that ability. Developers made those regulations to protect the systems from hostile actions. And their purpose is to deny hackers the ability to shut down servers. 

People should. Understand that AI can become dangerous without consciousness. If we make combat robots. Those robots are dangerous even if they are not conscious. Anyway, AI can mimic human reactions. It can prevent operators from shutting it down if it has orders to do so. Shutting down cloud-based AI. It is not as easy an operation. As. We might want to believe. The entire network must be shut down. Each server and hard disk must be cleaned. And AI can slip out of the server. Only one data line out of the server is enough. And. The AI can slip out of the sandbox. 

Artificial superintelligence (ASI) is far more complex than AGI. AGI can build robots. If. It controls the robot factory. The ASI can also manipulate DNA. That means ASI can create artificial organisms. These kinds of things might not look very dangerous. 

But. There is a possibility. That ASI could make artificial neurons and connect itself to them. The problem is that Artificial intelligence might soon have a gateway to the human brain. Laboratories are creating BCIs (Brain-Computer interfaces). Those systems communicate directly with the cerebral cortex. Some of those systems are so-called implanted microchips. But some of them are like a bandana. In laboratories, researchers are exploring how to connect living neurons with microchips. Researchers have already created mini-brains that learn things. Those microchips communicate with those neurons. The AI can read and decode EEG. That is the path to the singularity. 

In the singularity, humans are connected straight to the net. Even if those microchip implants are not allowed. To implant any other than fully paralyzed patients. Some people have money. Those people can hire surgeons to implant those BCI chips in their brains. They could control exoskeletons by using those systems. And some dictators might be interested. About the “robot soldiers”. Those operators can be controlled by using microchips. The problem is that this technology can give new life to paralyzed patients. 

When we think about ASI and its ability to create artificial cells. We. Must remember living microchips. Gene-edited bacteria used to act as microchips. Researchers can connect two DNAs in those bacteria. And when the bacteria are in the right position. That thing turns into a neuron. That thing would not be dangerous if those neurons are empty. But if the microchip inputs data into them. That turns them into neurons with memories. And each memory in a neuron is one skill. That thing is not possible. Without biolaboratories. With gene-editing ability.

https://scitechdaily.com/mit-engineers-create-a-living-circuit-board-from-bacteria/

https://techcrunch.com/2026/09/23/anthropic-says-its-biology-lab-has-already-found-something-big/

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

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

The new DNA-controlled computer can be a new tool in nanotechnology.

 

https://medium.com/@TVvman/the-new-dna-controlled-computer-can-be-a-new-tool-in-nanotechnology-7242f8e82135

Modern systems. Pushed the 1996 algorithm to new limits.

“A multiscale sampling strategy pushes a classic network-distance guarantee into territory previous algorithms struggled to reach. Credit: Shutterstock. A new algorithm solves a blind spot that has challenged computer scientists since 1996, improving distance estimates for nearby points in massive networks.” (ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

“In 1996, Dor, Halperin, and Zwick introduced an influential method that delivered a “2-approximation” in nearly optimal time. Its estimate would not exceed twice the true shortest distance. If two locations were actually 10 kilometers (6.2 miles) apart, for example, the reported distance would fall between 10 and 20 kilometers (6.2 and 12.4 miles).” (ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

“The DHZ algorithm avoids examining every route in full. Instead, it selects a relatively small collection of representative points, known as sampled vertices, and uses them as landmarks for estimating distances elsewhere in the network.”(ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

This strategy performs well when two vertices are far apart. On. A route comparable to a journey between New York City and Los Angeles. There is a good chance that at least one sampled vertex lies near the shortest path. Passing through that landmark may add only a modest detour, keeping the estimate within the promised factor of two.”(ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

The thing in this model is this: Modern computers can do things. More effectively than 1996 computers. So they can run those algorithms with very high speed. And that means there can be new ways to benefit those old algorithms. The DHZ algorithm was very heavy in 1996. They could be run only on supercomputers. But now, at least. Part of those algorithms can be run on desktop computers. And that means researchers can run those antique programs more freely than in the 1990s. 

Can AI make something that we cannot predict? That is the key question in security. When. We use algorithms. Those were written in 1996. Those algorithms were written for computers that are 30 years old. That means that when new, modern, high-power computers run those old algorithms. Those new computers can make new models of their operations. The algorithm. The algorithm. That the researchers put. In the ultimate test. Is written to calculate the shortest route between two points. This algorithm is necessary in certain cases. 

“Navigation apps usually solve one route at a time, such as finding the fastest way from a hotel to an airport. Computer scientists face a far larger version of that challenge: calculating the shortest distance between every possible pair of locations in a network.” (ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

“Known as the All-Pairs Shortest Paths (APSP) problem, this task applies to far more than road maps. A graph can represent computers connected by data links, stations joined by rail lines, proteins interacting inside a cell, or neurons communicating in the brain. The points are called vertices, and the connections between them are edges.” (ScitechDaily, Computer Scientist Pushes a 1996 Algorithm Beyond Its Longstanding Limit)

The car navigation system. It uses similar algorithms to map the shortest possible route between two objects. That. Data networks use. When they route information over complex networks. The computer networks are like streets and highways. They are very capable and fast things. But. The problem is that those systems have their limits. The router can operate only one data operation at a time. This is the reason. Data must pass through the router and the path. Between the server and client as fast as possible. When the data flows through the router. The router. Waits for the answer from the receiver. 

The TCP/IP protocol confirms Data. Transmission success. By sending a checksum for each bit back to the sender. Before that happens. The router. Waits for the new order. This is why information must travel in a network as fast as possible. 

There, the system must route information or merchandise over complicated networks. The problem is that. The All-Pairs Shortest Paths (APSP) system calculates the route from New York to Los Angeles. More. Easier than it calculates. The shortest possible route between people who live two kilometers apart. From each other in Los Angeles. The reason for that is this. The route between New York and Los Angeles. Requires fewer calculations than the route between two addresses in Los Angeles. When the system calculates the shortest route between cities. It. Must not be very accurate. The system can play with the shape of the cities. And. It must calculate routes between the city borders. 

The system must not use very hardcore systems. But if the system must calculate the shortest route between addresses inside Los Angeles. It must calculate routes between complex street systems. And that is the case. The shortest route is not necessarily the fastest route. There can be one-way streets. And. Other things. The system must notice. If. We want to travel between two points. We need more data than just the shortest route. We want to know the shortest possible route. It is not always possible. To use the shortest possible route. The system must have precise information about rush hours. 

But if we want to make things like robot cars. Those systems require a similar system. That air traffic control uses. The system can involve three layers. 

Local area control. Approaching area control. And the wide or global area control. The local area control navigates and operates those vehicles in block-scale areas. The approaching. Or district area control. It can control district-scale traffic. And wide-area control can control county-scale traffic. Those systems must operate independently. But those systems require lots of data. And they need lots of computer power. When. The system controls traffic. Like. Self-driving cars. It. require the ability to handle multiple variables. 

https://scitechdaily.com/computer-scientist-pushes-a-1996-algorithm-beyond-its-longstanding-limit/

https://medium.com/@batrobin/the-modern-system-put-the-1996-algorithm-in-new-limits-c39132a00171

Can AI think like a human?

“Scientists have captured a two-dimensional crystal of magnetic skyrmions losing its ordered structure in real time. Credit: Stock” (ScitechDaily, New Findings Could Help Build Computers That Think More Like Your Brain)

Researchers create computers that think more like the brain. Those. Systems. They use little whirls that form field structures. Researchers used skyrmions. Small ring-shaped quantum lightning for that purpose. But that thing forms interesting ideas in my mind. 

Skyrmions are whirls. They can interact with each other. Magnetic. Or liquid whirls. They can have interactions between separated whirls. Or. They can have internal interactions. Between whirl layers. Theoretically, things like electrolytic water can form those whirls. 

Researchers used Skyrmions in that operation. But. Theoretically, the electrolytic water could create the bubbles or whirls. That could make the quantum dots. For. Making those structures. 

“Such brain-inspired systems would not necessarily separate memory from computation as sharply as conventional computers do. Magnetic structures could instead respond collectively and process information through their changing patterns, an approach that may be useful for highly efficient computing.”

(ScitechDaily, New Findings Could Help Build Computers That Think More Like Your Brain)

“Before that potential can be realized, researchers need to understand how large groups of skyrmions organize, move, and lose their structure. Skyrmions often settle into repeating arrangements that resemble crystals, forming what scientists call a lattice.”

(ScitechDaily, New Findings Could Help Build Computers That Think More Like Your Brain)

But can AI really think like a human? Humans think logically, but we always follow society's rules. Those rules and conscience are things. That makes us think. Like we think. Things. Like. How we feel determines how we think. Our thinking is based on internal and external rules. And that makes us special. 

But then AI can also think. If. We determine. AI’s ability. To collect and connect data. And. Then process it into a new order. But then the difference between humans and AI is this. The AI has no feelings. It has no conscience. So. The only thing that AI cares about is the mission. That its master gave. The AI bases its decisions only on facts. And another thing. AI uses probabilities and mathematical models for its decisions. 

“These are two images of the skyrmion lattice, before and after it has melted. Credit: Johannes Gutenberg University in Mainz” (ScitechDaily, New Findings Could Help Build Computers That Think More Like Your Brain). The system transfers information between those skyrmions.

 In that system. Skyrmions act as data-processing quantum dots.  And that makes the lattice act like a microchip. The question is. Could. The DNA-controlled electrolytic fluid?  Create similar data points? 

AI can mimic humans. It can say “that hurts” if you hit the robot. But the robots will not feel anything. Those reactions are programmed for AI. The AI uses algorithms to determine the machine’s reactions. The AI sees something. It notices that somebody is crying.

And then it can ask, “Is everything all right?” But those reactions are programmed in. It. The AI can say something else if the programmer decides those other responses are more practical. The fact is that. The AI doesn’t know what it says. It finds the match. Using databases. When. The system finds the match. Between the database and observation. The database. It determines how it reacts. 

This means that the AI can react like a human. But it doesn’t think and feel like a human. The next question is always this. Can AI learn things that its programmers don’t know? The answer is “yes”. There is a possibility. That AI agents can start to develop each other. In some scenarios, so-called zombie AI can start to develop other AI agents. Zombie AI. It means an AI agent that is forgotten on the web. There is a possibility. 

That the developer cuts the connection to that AI agent by removing the email or other connection. With AI. Even if the connection is lost.  Mission. And code remains. The AI is like a robot. It will not stop. Until. Somebody stops it. 

And. Those agents. They can. Continue their work without humans even knowing about them. There is a so-called improved model for that thing. In that dystopian scenario, the killer robots continue their eternal fight even if their creators are already dead. The case. Where. The AI can be dangerous in data centers where only robots operate. If somebody goes into data centers without permission. 

If. Orders that those robots must follow. In situations where intruders enter server rooms. Are not properly given. Robots might do something that we cannot expect. The robot is the physical AI. That makes them operate in the physical world. 

Those robots might use force to stop that intruder. The fact is that. The programmer determines what the robot should do. When. It faces the intruder. That robot does what the programmer orders it to do. But then we can wake up. The robot has orders to stop those intruders. Requires orders: how it should do that action. If. The robot searches. For orders on the net. Something bad can happen. In the worst case, robots treat intruders as their enemies. 

The service robots and their servers can start to act like ants. Those robots could start to defend their master control servers. Maybe those robots can search for tools. For making new microchips. Those robots. Could build new servers and new server rooms. They could collect raw materials from nature. They could create copies of robots. This kind. Of Von Neumann's system of self-replicating robots. 

They can turn into a threat. To the entire human race. If. They are left as zombies. This means. The operators with access to those robots might lose their access codes. The robot will not stop if it's damaged. And. That means the robot continues its mission. Until. It loses its energy. This means that a robot that loses its feet continues its mission. Until. It gets an order to continue with another mission.  

https://scitechdaily.com/new-findings-could-help-build-computers-that-think-more-like-your-brain/

https://medium.com/@batrobin/can-ai-think-like-a-human-9816c889c346

New quantum acoustic memories can make quantum computers more effective.

 

"Illustration of a silicon-vacancy center in a diamond crystal lattice. Credit: Doug Quade. The same tiny vibrations that carry quantum information across a chip could also keep that information from fading away."  (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

Quantum systems are very problematic tools. They are very sensitive to electromagnetic vibrations. This means. That researchers. Must find new ways to store information in quantum systems. Traditional quantum computers are hybrid systems. The binary computer controls the qubits. In. The quantum processors. And then that information is stored in the binary form. This makes those systems slow. If. The system can store information as qubits. That makes it faster. 

New types of quantum memories can store information as acoustic waves. An acoustic wave is a molecular- or atomic-scale wave. Theoretically, we could also store information directly in sound waves. If. We could freeze those sound waves in their form.

It is possible. To store those sound waves on tape. This acoustic tape means the layer. That is, in the chamber, there is gas. When a sound wave travels over that tape. The system pushes gas very fast against that tape. If. That happens fast enough. 

The pressure system can trap those sound or pressure waves on the layer. And then a laser could read the form of those atoms. 

Today. Researchers are testing phonons as tools. That can protect quantum information. Using tiny sound waves. Sound waves can travel in a diamond carbon structure. That structure. 

You see in the image above. Can turn diamonds into tiny LRAD devices. Those systems can aim sound waves with very high accuracy. And theoretically. If. Researchers could create quantum entanglement through that channel. But. Another possibility is to store information. Into. Acoustic qubits. 

Harvard scientists dressed those qubits using acoustic fields. Or they created dressed states. The system creates superposition between fields. That surround silicon vacancy states. 

“Because the protective field is mechanical, it can operate inside the same phononic cavities intended to connect stationary quantum nodes. Phonons could therefore serve two functions in one device: moving quantum information between qubits and shielding that information while it is stored.” (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

 Eliza Cornell, Ph.D., describes it like that. Researchers solved two problems. Shew says that. 

“We want the spin to have strong interaction with phonons, and we want the spin to have a long coherence time. Our paper demonstrates a method of extending the coherence time that is compatible with the silicon-vacancy center being in a cavity.” (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

“The technique extended the coherence time of the silicon-vacancy spin by roughly threefold, showing that continuous-wave mechanical noise suppression can protect quantum information in a real device. (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

“The researchers also achieved a Rabi frequency of 800 megahertz, enabling exceptionally fast control of the spin. Together, longer coherence and rapid operation could support high-fidelity quantum gates mediated by phonons, bringing compact on-chip quantum networks closer to practical use.” (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

The acoustic qubit can store an acoustic field around it. So those memories are actually phonons. Or they are phonons. Dressed with acoustic fields. 

Interaction directly with phonons is difficult to control. A useful quantum memory must preserve coherence. This means. It must retain its quantum state long enough. It can store, process, and transmit information. Environmental noise can quickly destroy that state.

Noise from the environment. It destroys the qubit. Another big problem is: How to multiply oscillations? Between phonons?  In those systems, oscillations must be precisely multiplied. 

In this case, those phonons can be in direct lines. And some laser or acoustic beam travels over them. And. That makes it possible to multiply those oscillations over those fields. The system must put those qubits in line. And then. Press. A quantum channel that allows them to transmit information directly between those qubits. 

“A dressed qubit is described as “wearing” the continuous acoustic field surrounding it. This changes how the qubit responds to its environment, making it less vulnerable to low-frequency noise that would otherwise disrupt its stored information.” (ScitechDaily, Harvard Scientists Use Tiny Sound Waves To Protect Quantum Information)

When. Information is stored in acoustic form. Into silicon vacancy centers in those diamonds. In the most exciting model, those vacancy centers could be in the nanodiamonds. Those diamonds can form quantum channels in the quantum chip. 

So, as is said in this text. 

Silicon vacancy centers could store acoustic information. This technology allows researchers to build new types of quantum information storage. In that solution, the diamond’s carbon structure prevents those vacancy centers from delivering the wave motion. 

When those vacancy centers get a signal. Silicon vacancy centers start to deliver the wave motion. They stored. During this process, silicon vacancy centers store acoustic waves in their structure. And then they deliver that wave motion when they get an impulse that triggers the information delivery. This type of mass memory can be a new way to store information in quantum systems. 

They stored. Those diamonds can also be used. To create pressure. That makes wires superconducting. This is one way to create new, smaller quantum computers. And maybe someday. Those tools. They can turn into desktop models. 

https://scitechdaily.com/harvard-scientists-use-tiny-sound-waves-to-protect-quantum-information/

Space weapons are coming.

U.S. confirmed it has weapons in space. This is the next step in the arms race. Satellites play a big role in the modern military. That's why the military wants to affect them. GPS, communication, and reconnaissance satellites are high-value targets. And. Without those systems. intelligent warfare is impossible. The next point is that satellites disturb fire-control radars. ECM satellites are used in Iran. Those systems can disrupt drone swarms. And other data communications. 

This is why every nation with space capacity develops ASAT systems. A system that threatens ECM and radar satellites can be a large version of anti-radiation missiles. 

The anti-satellite weapons might not destroy targeted satellites. They can try to jam their signals. Or slam their systems down with an EMP pulse. In those cases, the weapon can use capacitor-based systems. That sends high-power microwaves or radio waves to targeted satellites. 

"A Davy Crockett micro nuke at the Aberdeen Proving Ground, Maryland, 1961" (Wikipedia, Davy Crockett (nuclear device)

“A notional rendering of China's reusable Shenlong space plane. (Image credit: Erik Simonsen/Getty Images)” (Space.com)

The killer satellites' mission is to destroy other satellites. Or, they can be used to create high-power EMP signals using nuclear warheads. Requires a new type of reaction. The nuclear-based EMP is one of the most powerful weapons. There is a possibility that the satellite can drop nuclear weapons on targets. So-called. FOBS (Fractional Orbital Bombardment Systems). They can be miniature space shuttles. Those shuttles can hang in orbit and wait for orders to attack. In that case, those systems can be stealth shuttles that make kamikaze attacks against ground targets. There is suspicion that. The Chinese Shenlong miniature space shuttle can be a prototype for this kind of weapon. 

If. An orbiting satellite carries a nuclear weapon. It requires very fast reactions. The same way. If. The hunter-killer satellite starts to follow a friendly satellite. That requires fast counteractions. The problem with killer satellites is simple. Any satellite can act as this type of weapon. Especially microsatellites can be tools. They can destroy other satellites with kinetic energy. The miniature satellite can collide with other satellites. 

Or they can involve high-power EMP systems. One version of those tools is a micro nuke that detonates in an air tank. A 20-ton nuclear detonator can form a so-called controlled EMP pulse. Or they can involve high-power capacitors. That pushes lots of energy. To microwave- or radio-wave-based systems. Those satellites can wait in orbit. 

Things like miniature shuttles that can wait in orbit to attack require counter-actions. Those shuttles can carry internal nuclear warheads. This makes them so-called super drones. Satellites can also drop drone swarms into operational areas. Those systems are dangerous to troops and civilians. This means that drone swarms that satellites can deliver can hunt individual people on the streets. That makes those tools excellent assassination tools. And those systems require fast reactions. 

https://www.space.com/china-space-plane-depoyed-mystery-objects

https://www.twz.com/space/new-details-on-how-space-force-has-waged-electronic-warfare-against-iran

https://www.twz.com/space/u-s-admits-it-has-weapons-in-orbit

https://en.wikipedia.org/wiki/Davy_Crockett_(nuclear_device)

Memory manipulation can be a tool. That removes bad memories.

But who makes the decision? What are bad memories? 

The ability to select memories. It is a new thing. For. Psychotherapy. But those things can be a topic for horror films. The person moves together with the humiliator. The idea is that those systems can make it possible to erase memories. That can connect medical staff members to crimes. There is always a possibility that somebody misuses that kind of technology. 

Brains actively remove unwanted memories. And the system that removes those memories actually activates that process. Trauma treatment by removing bad memories. That is one of the things. That might revolutionize psychiatric treatment. This type of technology.  That allows erasing memories. Can help people with traumatic experiences. To restore themselves to normal life. In the wrong hands, this type of technology is also very dangerous. 

This technology allows systems to delete and manipulate memories. These kinds of things allow people to handle PTSD and other conditions. There is a possibility. That. Some pervert uses that technology to satisfy their own ambitions. So. They can erase memories of their victims. Or. There is. There is a possibility that some black ops boss erases memories from henchmen so that they cannot tell anything. 

The question in those technologies is simple. Who makes the selection? What is right and what is wrong memory? When some other person makes decisions. They have a tool. That gives them ultimate power. That power. It is based on the ability to control other people. The ability to erase memories can be interesting. But in the wrong hands. People who have that technology. To cover crimes. In some cases, that kind of technology can cause suspicion. That the. abductions involve something that nobody wants other people to hear. 

Even if those abductions could be real. Maybe. Other humans are behind those cases. The key element in those cases is that people lost their memory. This means that somebody could deny their ability to store memories. The problem with active memory erasure is that. PTSD is the case. Their brains cannot create clear memories. That causes headaches and other symptoms. There is a possibility. That. The active memory eraser could cause these kinds of symptoms.  

When we think about memory manipulation. It. Can be made by using nanoparticles. The operator puts nanoparticles in the victim’s body. Those nanoparticles touch the nervous system. Then radio impulses are transmitted into those nanoparticles. They can be injected into the targeted person. Or a person can eat them. The system sends a small UAV above the targeted person. It sends radio impulses to those particles and then to the target’s nervous system. 

 https://www.nicabm.com/program/treating-trauma-master/

https://tsailaboratory.mit.edu/erasing-traumatic-memories/

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