Training determines the abilities of the AI.

The new remote-controlled robot uses technology that allows it to teleport all human movements to that robot's body. That thing turns so-called external, or exobodies true. That nobody can operate in every mission where humans can. This kind of body can operate as an AI-training tool. The operator controls that robot in different situations. Then that system can share its data with other full-automatic robots that operate independently. In the robot world the word “independent” doesn’t mean necessary the same as in the human world. An independently operating robot is a robot that can do its duties without human assistance. That kind of system can operate under the control of data centers. 

So, those systems use the internet for the remote control of the robot body, and that computing capacity is not high enough to run complicated algorithms that do things like walking in the city and visiting shops to buy things. The fact is that the training of the AI determines its abilities. The human-shaped robot is like a screwdriver. The AI that controls that system is the thing that makes it capable of operating in many situations. The first real robocops are coming to the streets in Indonesia. 

Many armies and civil defense and rescue organizations test robot dogs that can search things like mines. Those systems can carry lasers or even missiles in the back. So that makes them able to destroy tanks and other vehicles. Those robot dogs can have quadcopter propellers in their legs. The system can turn the twin wing rotors in the same line. And then pull them in. In use, those systems can push propellers out. Turn the legs to the side. And then turn those propellers into an X-position. 

Researchers trained the Chat GPT for space pilots. That system did its mission very well, and that means the new drones can get AI-based autopilots. And in the wrong hands, those systems are terrifying. That means basically anybody can train their own AI-based aircraft pilot that can operate drones or, why not, full-scale aircraft. There are risks in those applications. The same autopilot program that controls the drone can control full-size aircraft. 

Some researchers are worried that AI chatbots can start to create biological weapons. Those systems can make almost everything. AI-controlled laboratories are things that can revolutionize material and molecule research. That means that those laboratories can also connect the DNA molecules together. Those systems can also make artificial organisms using AI-controlled nanotechnology. 

The self-replicating or self-amplifying mRNA molecules are created for self-replicating vaccines. Those self-amplifying (m)RNA (sa(M)RNA) can also unlock new tools for controlling nanorobots if a small miniature robot can carry saRNA molecules to the right cells. And that thing can make it possible to create the system that orders those cells to die. That mRNA molecule can order the cell to shut down its protein synthesis. Those self-amplifying molecules can also act like chemical computer programs. And that makes new tools to control nano- and biorobots. 

The ability to produce and self-replicate mRNA molecules in a dish, outside the cells. That opens new paths to genetic engineering. And another thing is that this kind of ability makes it possible to create new mRNA and DNA-based computers and data storages. 

There is a possibility to create the artificial mRNA molecule that self-replicates in the dish. That thing makes it possible to create the mRNA that reprograms the cell. There are two ways to make a large number of artificial cells. The first way is to create artificial DNA or mRNA molecules. The researchers can change the DNA from inside the cell’s nucleus. The other way is to use the mRNA molecule to reprogram the cell organelle and force it to create artificial mRNA viruses. 

The new method is to create artificial mRNA or DNA molecules. Then that molecule can self-replicate. Then researchers can take cells in control and inject those mRNA molecules into cell organelles. Or they can exchange DNA from the cell nucleus. That makes it possible to create artificial cells. The difference is how to produce that genetic material. In the last case, the genetic material is produced separately from the cells. And that makes this genetic material easier to control. That material opens new doors for DNA and mRNA-based computing and controlling miniature robots. 

https://www.birmingham.ac.uk/news/2023/ai-could-be-used-to-develop-bioweapons-if-not-regulated-urgently-says-new-report

https://futurism.com/scientists-chatgpt-controls-spaceship

https://www.rudebaguette.com/en/2025/06/real-life-avatar-tech-arrives-new-capsule-teleports-full-body-human-motion-directly-into-remote-controlled-robots/

https://www.rudebaguette.com/en/2025/07/theyve-gone-full-robocop-indonesia-unleashes-humanoid-police-robots-to-hunt-criminals-and-crush-the-drug-trade/

https://www.science.org/content/blog-post/first-self-amplifying-mrna-vaccine

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

https://en.wikipedia.org/wiki/Self-amplifying_RNA

How can the mobile telephone be used as 3D-modelling?

(Picture 1)

https://www.instagram.com/p/BfbSDw5FIdC/

Kimmo Huosionmaa

How can the mobile telephone be used as 3D-modelling? The answer to that question is simple. This thing uses the same device, what would focus lens of its camera. It also connects the data from the camera of that telephone. So this makes those mobile telephones very sophisticated tools for modeling. The problem of those scanners is that the mobile telephone must be absolutely stable, or the modeling would be failed.


But this can be solved by using selfie-stick, what is installed on the table or stable platform, and if the hands of the stable enough, the scanning can make by keeping the device in hand. But the fixing of this problem could be found from GPS. If this system would be sharp enough, the telephone could fix the errors, what shaking hands causes. In this solution, the GPS would map the place where the telephone is in the sharpness of only small part of the millimeter, and the computer would calculate the errors of the metering.


The system would take the original point, when scanning is beginning, and then it would fix the error what the shaking of hands might cause. This would be done by adding or subtracting the location in the real world of the phone, from the values of the pure ring. This would make the scanning more easier. This little program can revolutionize the CAM (Computer Aided Manufacturing) -technology.  Now any firm can buy this kind of equipment and use it as making 3D-models for CAD programs and 3D printers.


In this system, the computer in the mobile telephone transmits the distance between the target and telephone by using sonar. Sonar is almost as effective scanning tool as a laser, but the sound travels in the air much slower than air.


The optics of the mobile telephone would focus using Sonar and the situation where the user notices it is when this person wants to take a picture what portraits horizon. In this case, the system of the camera cannot get an echo from the surface, and the optics of camera cannot focus the image.

I have read some articles that same radars what are used in traffic light as traffic calculation sensors could be mounted to RPV-helicopters. Those helicopters can be used to make 3D-models of entire building areas. They use oblique scanning, what is connected to GPS and computing platforms to make 3D models of buildings. The computers would make 3D pictures by those pictures, what this device sends to computers.

Sources:

Picture 1

https://www.instagram.com/p/BfbSDw5FIdC/

https://crisisofdemocracticstates.blogspot.fi/

http://crisisofdemocracticstates.blogspot.fi/p/how-can-mobile-telephone-be-used-as-3d.html

Was the most unusual hijacking case mentioned to get model money for "super-dollars" or another perfect counterfeit.

http://crisisofdemocracticstates.blogspot.fi/p/was-most-unusual-hijacking-case.html

http://crisisofdemocracticstates.blogspot.fi/p/was-most-unusual-hijacking-case.html