Showing posts with label engineering. Show all posts
Showing posts with label engineering. Show all posts

Wednesday, June 4, 2025

What should we do with the liability of the AI?



Should we be concerned because the product liability directive, PLD doesn't include immaterial damages like violating privacy or reputation? Those things were not mentioned as problems when the EU made the PLD directive. But today we have new tools that collect information from our behavior. AI-based systems can make realistic-looking people, who can make things. That, those real people don't ever make. And that can cause at least embarrassing situations. 

Who takes responsibility if somebody makes a film tape where some prime minister robs a bank, etc? The big question with AI is should the recognizable images that portray certain humans be prohibited or otherwise denied from the AI? The problem is that the AI makes images by following the orders that the user gives. And those things mean that some people can simply give the details of the neighbor for the AI. And then the AI makes the image, there is the neighbor's face. 

When we think about the PLD directive and other directives that should protect us against product malfunctions, those directives do not include things like normal blogs. There is the possibility that if some people travel to China, somebody writes the manifest in the name of that person, where that writer justifies the Tiananmen case and human rights violations in China. That blog can cause very big problems at the border zone. 

The thing is that the AI is the new tool that can make many things that ordinary systems cannot make and the main problem with the AI is what is not told about that thing. AI is the tool that allows people to show their creativity. But the problem is that AI can be misused for cheating people. When we think about newspaper articles, where people made pedophilia porn using AI, we must ask ourselves, what is the limit between privacy and security? When the AI should track the person who uses it, and then report the action to officials. 

There are lots of things. That people should know when they use some products. Those things involve privacy and other kinds of stuff, but another argument is this: what if somebody creates sick stuff using AI? Another thing is that there is a race between East and West. Who makes the best AI? The AI is the tool that connects different software under one dome. In the same way, it connects many other things like satellites and airborne, underwater, and ground systems to work as one large macro-scale system. 

The thing is that the Eastern governments are interested in the AI's military, intelligence, and surveillance abilities. The biggest problem is that the AI is that. There are no limits in the East for development work with AI. The Eastern authorities allow unlimited data use in that process. They don't care about copyrights or other things that slow the R&D work. AI is the next generation weapon. 

It can generate malware faster than any programmer can do. The AI can use it to collect data from social media, and then connect that data from other data sources like names that intelligence catches. The AI can search the entire social media to find the people with the same names. And then it can search photos if there are some things like uniforms. That marks the person as an interesting target for intelligence. 

Reporters and social media influencers are also people, who can serve Eastern intelligence and propaganda. We must have the tools to fight back. The AI can steal people's identities. So we can try to give rules for those systems. Laws are weak protection if the attacker operates outside the AU area from China or Russia. The Eastern nations and authorities don't care about laws in the same way as we used to care for and follow them. We can slow down or stop AI development by giving regulations. And then we can remember the Great Wall of China. That wall stopped the technical development and advance in China. 

That caused a situation where European countries just marched to China in the late 19th. Century. In that situation, those armies faced a feodal army. That army couldn't resist the modern European armies. And if we don't think about regulations carefully, those things can do the same thing to Europe that the Great Wall of China did to China. We know that we need regulations. But if we do not think about those regulations carefully, we face the situation that we cannot respond to AI espionage. 

Things like data systems' remote use allow users to run large language models LLMs from a great distance. Wrong regulations cause dangers. And if we just believe people and what they say, we can let the largest Troyan horse in our systems. The regulation is always a problem. The remote use of the systems allows the R&D to work for the customers over the Atlantic. The VPN-protected cloud-based systems allow. To operate laboratories remotely. That allows developers to make computer software development tools for the customer from their homes. Regulations are ineffective if nobody follows them. 

The customer can expect something from the data security. The problem is that many customers don't know anything about the programming or data leaks. And other kinds of things. Sometimes they expect the deliverer or some authorities to make the data security work for them. There is always one big question about data systems. That is what the system maker doesn't tell people. The "open source" means that the customer can check the source code of the program. But checking that thing requires knowledge of programming. The customer might not have the skills to ask.

Questions what they should ask. Computer programs, including AI, are always connected with the environment where they are made. The state where the programmer works can order or force that person to put malware in the code. In the West, we used to think that authorities arrested hackers. We cannot even think that some governments support hackers, and give them expensive tools to make their mission. Hacking that happens under state control was unknown to us until some hackers stole defense secrets from the USA. Those hackers were tracked to China. They are still free because they worked under the control of China intelligence. 


Thursday, March 13, 2025

The future AI cognition mimics humans.



The AI can have a physical body. The robot body communicates with supercomputers. And it makes them more flexibility. 

AI learns the same way as humans. The learning process and its power depend on the diversity of the information. AI requires versatile information from multiple sources. And when we think about AI. And its ability to learn things. 

We must think about it. Why and where we learn. We can try everything ourselves. But there is another way. We can network with other people who do similar things. And then we can share our experiences and thoughts with other people in that network. 

We might have a good education. But we go to learning meetings. We learn from other people's experiences. Sharing information makes networks effective tools to learn things. In that model, the single actor must not make and know everything. 

When we talk with other people we can expand our view of things. We get more ideas when we meet other people and share our thoughts. 

We can work with those ideas. And mix them with our environment. That thing extends our corridors and predisposes us to new information. Information plays a vital role in the learning process. If some actor in the network, which can be human or some server faces something. That thing can be shared with another network. If the server is under network attack the system can collect all data from that event into its memories. Then it can share that data all over the network. And other actors can mimic that server to defend themselves against similar attacks. 

Similar way. AI should talk about other things. If the AI is just a language model. It has limited ways to learn things. Mainly large language model learns in a verbal way. And that is a very limited way. It's easy to write things to LLM and order it to do something when something happens. This can be enough in cases where the AI should detect and defend against network attacks. 


In second image is the vision of a robot that operates in the Kuiper Belt. Those robots can have quantum computer brains. The Kuiper Belt is a good place for compact quantum computers. 

That program creates a reflex to the system. When something happens that system reacts like it is programmed. Think about a case in which you should explain everything using words. That thing is possible. But it's more limited than if the AI can use images or films in the learning process. 

That means the AI can learn things from the homepages. And maybe from surveillance cameras. But if the AI has a physical form like a robot that interacts with a server, that runs the AI that extends its ability to learn things. The AI learns things visually. By connecting certain images or things with certain actions. That is a more versatile and easier way to teach things to AI. The physical body that communicates with the server can be discussed with people. 

The robot body can keep in contact with the LLM. The system can operate remotely. The LLM works in servers or in morphing neural networks. Those servers can be in the bunker. Or the system can use non-centralized computing. That means the system can share responsibilities all around the robot groups. The system just connects robots computers into entireties. 

In some futuristic visions, humans will fly to the Kuiper Belt to make quantum computers in that cold and stable environment. In the Kuiper Belt, every metal is in superconducting condition. So that means even human-size robots can have quantum brains. That gives them extremely powerful computing capacity. The low temperature with a static environment makes the Kuiper Belt a promising place to make quantum computers. 


 https://bigthink.com/the-future/ai-cognition-and-the-road-to-meaning/



Sunday, November 14, 2021

Super-powerful slingshot would take rockets to the orbiter.




One start-up company tests an interesting method for launching satellites to the orbiter. That method is just to use the extremely powerful slingshot that accelerates the rocket to the orbiter. Without the need to use rocket engines. If that thing is successful. It would solve one of the biggest problems of rocketry. That thing is noise. 

If the use of rocket engines can replace by using the magnetic track or slingshot that thing would make spaceports more common than they are now. The slingshot or spin shot is the model that this company uses. There is a video of this system above this text. The system uses a centrifugal launcher. 

Another way would be to use the high-altitude airship. The original launching system cannot use because it's too heavy. But the High-altitude airship or HAA. Can take the small rocket to an altitude of 20-30 kilometers. And that thing makes it possible to launch the small rockets to higher altitudes than the ground-based system allows. 





If the system uses a long whip it can take the rocket higher. The whip is giving more launching energy to the small rocket. And then the computer-controlled hook would release the rocket. The whip would be at the side of the airship and then it would just throw the capsule to orbit. A small rocket or satellite can launch by using the whip. And then it can simply throw that rocket to a higher altitude.

 Or the whip can rotate a couple of times, and that thing would give power to the rocket. This kind of slingshot launcher can also interest military operators. They can use to shoot grenades to long distances. And if the system uses an open structure that thing can be very highly mobile. If those high-tech slingshots replace cannons.  That makes it possible to use all kinds of grenades in the same system. And no flame can uncover the position of the firing station. So this is one of the reasons why this kind of system is under development. 


https://futurism.com/startup-tests-rocket-launched-by-super-powerful-slingshot


https://interestandinnovation.blogspot.com/

Monday, October 25, 2021

There is the possibility to make the silently hovering craft without any SciFi technology.



Cooling the exhaust gas and closing the sound in the whirl makes it possible to create silent rockets and jet planes. 


When we are thinking of the possibility to make the craft that is hovering silently over the ground. We can simply make the rocket- or jet engine system where the jet is closed in the sonic whirl or the LRAD system will close the exhaust gas inside the pressure wall. In that case, the sound of the exhaust gas cannot get out from that sound wall. And that thing makes it possible that people cannot just hear any sound when they are outside that sound wall. 

The thing that explains why there is no burning effect in the grass. Would be that the exhaust gas will be cooled by using super cold water or gas like liquid nitrogen for cooling that gas. The thing is that by using this kind of system the craft can hover silently over the ground. This kind of virtual antigravitation system can be already in use. 

Closing sound in the sonic whirl or some kind of sound barrier that is made by using the LRAD-system would open a new era of rocketry and aviation. That thing would deny people hearing the noise of the aircraft or rockets. And if the exhaust gas of the rocket engines will be cooled by using liquid gas or Bose-Einstein condensate that thing allows that rockets or aircraft can operate even from the football field. Cooling the exhaust gas of the rocket would make the operations safer. 

And that thing denies things like fire around the rocket base. This kind of simple system what are basing the cooling element can allow. That the VTOL-aircraft can operate from all platforms. This kind of system might be already in use by the special rescue crews which mission is to return the dropped recon planes from the enemy territory. 

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

https://webelieveinabrightfuture.blogspot.com/

Friday, February 16, 2018

The good example of abiogenesis



(Picture 1)



https://youtu.be/8Sw6xRAG8XA

Kimmo Huosionmaa

How to make artificial flatworm? The methodology is same as the artificial StingRay, what is shown at the YouTube link above this text. The answer to that question is simpler than you might even guess. The core of the device can be just a piece of silicone. In the core would be set a metal wire, and around it will installed living muscle cells, what allows to move this structure. The metal structure is actually cable, and all single wire would be connected to a single muscle cell. The brains of this structure are the small microprocessor, what is connected to the head of the cable. And the electricity would get from tiny fuel cells. This means that those robots can drink alcohol for creating the electricity. Also, they can use methane in this process, and they can use to investigate moons like Titan. If those robots are used in the moons like Titan, they would need oxygen tanks for producing the electricity.


Sensors of those vehicles can be CCD-cameras, and also tiny microphones, what are used in the intelligence operations can be installed in that body. The simple form allows the mass production of that organism. The production would happen that the cutter will cut the silicon bites in the pieces like bacon. After that on this the computer and fuel cells will installed on this structure will be installed and the last process of manufacturing is that muscle cells would set on the silicone and connected to the metal structure. And then another layer of silicone would be installed on this structure. The secret of this manufacturing process is the length of this robot would be easily adjusted and the process is very fast. This would be a very good example of abiogenesis.


The factory would produce the artificial organisms for scientific purposes, but they can also use for looking the problems in the chemical plants or oil tubes. Those artificial worms can also use for intelligence missions, what means that those things can swim in the water lines, and record any voices and take pictures of the targeted plants or rooms.  They can also equip with plastic explosives, and used in sabotage missions. In those missions, they can strike against submarine telescopes, communication wires, and ventilation systems. So they can be very dangerous in the wrong hands.

Sources

https://www.npr.org/sections/health-shots/2016/07/07/484950849/synthetic-stingray-may-lead-to-a-better-artificial-heart

Picture 1



http://crisisofdemocracticstates.blogspot.fi/p/the-good-example-of-abiogenesis.html

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