Visions of the AI and future

Successfully working AI offers flexible and effective solutions, especially in dangerous work.  The U.S. Navy's first independently operating surface vessel enters the service. Robot warships are extremely powerful systems if their technology works. As somebody suspected, navies are the first users for independently operating robots.  The ships offer large spaces and guaranteed electric support for high-power computers. Those high-power computers are required for driving complicated computer code. The large-size warships can act as drone carriers. But those warships can also have 3D printer tools for creating custom drones and repairing parts for manned and unmanned systems.  But when we are looking at the military systems, we must realize that the military tells about those systems only things that they must tell. The Turkish navy plans to equip its aircraft carrier with drones. And that tells, something about their effectiveness.  But then we must realize that the U.S. Navy, alon

 Chat GPT and other artificial intelligence platforms are still under development.  Some experts say that AI is still the grab. But otherwise, that kinds of artificial intelligence tools are good tools for bringing customers to homepages. Along with AI, the company can market its other products to customers. Those customers bring data for the system, that can use for R&D work in the AI-development.  The fact is that AI is still under development. And that means there is lots of work to do if we want to make AI that can go shopping independently or that can discuss with people like real people. The next-generation version of AI-based bots can create programming code independently.  And that is a very big thing, and it decreases the use of the workhours. But then the AI requires development so that it can make works independently. When something goes wrong the first thing that should do is search for what went wrong. If the AI is not complete, it would not give any answers.  When the

Media is always full of cases where that AI fails. And in many cases, people expect too much from those tools. AI is not intelligent. It doesn't make new solutions. When the AI sees a program, it selects from the event handlers the solution.  That meant for that of case. Every single case where AI needs to react requires its unique event handler. And the event handler requires a description of the case.  The event handler is the bite of code that determines how the system must react to cases that the system face. If there is no event handler for some cases, that means the system cannot react to that case.  The biggest problem is that every possible case requires its event handler. if the robot must operate independently on the streets. It requires a large number of event handlers.  Driving a car is easier to AI than just walking. Because in traffic are strict regulations for the actions. That means programmers must not create so many event handlers for the car. But that kinds of sy

The worst problem in Russia is that it cannot respond to modern technology. Russian products are raw materials like oil and gas. And they buy almost all microchips and other technology from the west. The lack of modern technology is seen in Ukraine's conflict. But the problems are deeper in Russian society. We must realize that society and nations are much more than some military forces.  The lack of microchips is visible in many things. Modern civil and military systems require microchips because they are using AI. AI is impossible to use without computers. But the problem is that the Russians are not putting resources into that technology. Everything that is not visible is neglect.  That thing is not seen only in the Russian military. It's visible in the entire society. Russia is like a barge haul that its people are pulling to the past. That thing requires lots of work, and sooner or later those people who are resisting the change are falling. They cannot resist change forev

  The blimp near Mexican border.  When a person is once wrong, that doesn't mean the person is always wrong. But for some reason, we always remember only negative things. If the researcher made good research. And create fundamental things. The only mentioned thing is failures. That thing is called criticism.  But does real criticisms mean that all thing that person makes is justified as false because some of the works didn't work? Should people still notice some successful things when they analyze some people's work?  We all make mistakes. That is one reality. There is no perfect person on Earth. When some researchers make mistakes, they must analyze what caused that mistake. There is some reason for mistakes. Did they start introducing some opinions too often? Or did somebody else misunderstand the testimony?  When researchers make their work. They must analyze evidence and search for things like DNA. And if somebody shot the UFO down researchers must analyze the material

"Researchers have discovered that complex random behaviors naturally emerge from even the simplest, chaotic dynamics in a quantum simulator. This illustration zooms into one such complex set of states within an apparently smooth quantum system. Credit: Adam Shaw/Caltech" (ScitechDaily.com/The Future of Error Correction: Taking Advantage of Quantum Scrambling) The problem with a quantum computer is that system must detect and separate the qubit from its background. A qubit is a particle that has multiple states. And the biggest problem in quantum systems is the energy flow. The energy level in the qubit must be different than in the background. There is a possibility that the qubit's energy level is higher or lower than its background.  In the image from the top of the text, you can see the problem with the background. The energy background in nature has different levels. And that thing can cause that when qubit travels over those energy pits that affects the energy level

The AI is coming. And we must prepare for that. The worst thing we can do is try to slow advance with regulations like prohibiting some software. We must understand the opportunities that AI can give. But we must know that AI has a weakness. It doesn't know if the person who fills the forms tells lies.  If AI doesn't get the right information. It's useless. Sometimes somebody says that AI takes our workplaces. But some other people ask what kinds of jobs the AI takes. Are they some well-paid and wanted workplaces? And would those skeptics make those works themselves?  The digital divide between people increases inequity. The problem with the digital divide is that not formed between poor and rich countries. It's visible even in small workplaces and small communities.  Even in western countries, and in high-tech corporations are people with no necessary computer skills. That kind of thing is problematic. We know that some people resist any kind of changes in workplaces. 

   All electric aircraft are the tools that can revolutionize aviation. Electric engines can use to make aircraft silent. So the next-generation aircraft can use electric engines for lift-off from city areas and fly away from cities. Then they can start to use their jet engines. That thing can use to lower the noise that aircraft create. The "flying cars" or cheap VTOL (Vertical Take-off and Landing) aircraft can use by officials and private actors. The all-electric engine systems allow them to operate from any parking lots.  There is also the possibility that all-electric vehicles can also act as submarines. Today those "flying submarines" are small quadcopters that can operate in airborne and underwater conditions. But it's possible to create larger, manned models of those small drones.  If the electric-powered aircraft uses a wireless electric supply. There are no limits to the time that this system can operate. The system can create wireless power by using l