If we want new ideas we must be open to them.

The science facilities play a vital role in the R&D process. Things like Los Alamos Scientific Laboratory, Oak Ridge National Laboratory, and AREA-51 offer technical support and new innovations for the USA in civil and military sectors. The thing with technological advancement is that nobody can predict its routes. The fact is that: we can deliver our innovations for other nations by using one thing. We can deny innovations if we want simply blaming engineers and other scientists. If we want to deliver all our products to Mr. Trump and Mr. Musk we must only deny the R&D development. 

R&D is the key to the new equipment in the civil and military sectors. Being open to new ideas gives the landscape where innovations can grow. That means we should not underestimate science itself. Science is the thing that people do just for themselves.  When scientists find some phenomenon, there is an analysis of how people can use that phenomenon. 

Things like altermagnetism and other kinds of stuff like stopped photons are things that can make communication more secure than ever before. New things like radio telescopes can make things like follow the radio signals that come from a distance. 

They can eavesdrop on opponents' communication antennas or they can destroy or drop enemy drones. Or they can help to call scientists to some country. The limits are the worst thing that people can do for the R&D process. Limits and rules are only papers or texts on screen. And in the worst cases, the nation that made those rules will not even follow them. 

The AI is coming and that is the thing that we must realize. AI is the thing that can make it possible to control many objects. In stock marketing that means thousands of investments. And AI-based stock trading is the thing that will not allow the investor to make defeats. The AI can sell those objects immediately when they start to go down. And that makes the AI a tool that can guarantee profits. 

The AI is a tool that can make life better or worse. It's the most effective tool in modern computing. It's possible. The EU and other countries limit the use of that tool. That can make our lives better. But in the worst case, some actors like China and the USA, or some South American countries will not follow those regulations. They can call innovative people to make the AI. And that is one of the things, that can break the economy in the entire EU.  

There are stories that AI is bad for science. People published AI-based writings and said that the AI made their texts. That thing is similar to cases that other human makes the texts that developers or scientists introduce as their own. The source in those texts is the AI. The problem is that there are always people who want to cheat. They choose easy ways to make their thesis. That is wrong. But the problem is that nobody does their work with the computers there their schools have access. Those things are normally made with students' own computers. 

https://bigthink.com/starts-with-a-bang/new-science-facilities-keep-america-great/

https://bigthink.com/business/why-ai-for-business-means-a-revolution-in-efficiency/

The easy things in AI are gone.

"THE LOW-HANGING FRUIT IS GONE. THE HILL IS STEEPER."

CEO of Google.  Sundar Pichai is saying sayonara to the era of easy AI advancements.

The new AI advances require better hardware and better programming. With better education and studies. The thing that we should make is that. We should consider that the users of the LLM know where they should not use the AI.

 If people believe that the Chat-GPT is the tool that can act as a therapist or make everything. That they want. They are on the wrong route. We must call also other people to discuss with engineers to make decisions. Where do we want to go with the AI? The engineer who makes AI can use it. But does the normal person even know where they can use those tools? 

Normally we see either, positive or negative news about AI. But there are both sides in the AI. 

We can find many positive and many negative things in AI. The AI is like all other tools. There is the possibility to use them for positive and negative things. 

The human user makes decisions about where to use AI. AI is here to stay. It makes life easier. But AI is a fundamental tool. All tools need training and exercise so that they work like they should. 

Maybe the new campaign for citizens should be the AI driver's license that is similar to a computer's driver's license. However, the focus should be on the reasonable use of AI. The AI that draws bears who use computers is not the AI that searches tumors from X-ray images. And the AI that controls aircraft and drone swarms is far away from those two things. 

The Chairman of Google said that Easy solutions for AI are over. And we need new tools to make the new types of AI. But before we create any new types of AI. We must ask ourselves, what do we want? Do we want the AI that makes everything for us? The AI is not ready to think like humans. 

Another thing is that the AI is not qualified to work as a therapist. That means people should be informed of the limits of the AI. And the second thing is that the AI is not the tool that can make everything. If we want to use AI as a therapist that system requires lots of work. The AI requires certified parameters to act as a therapist. And do we want that thing? Do we want to transform everything into algorithms? 

Don't overestimate the AI, but don't underestimate it. More you know about it. More safer you are. 

Before we create new AI-based tools like algorithms or LLMs we must ask what we need, what we want. And what we can do. If we can make an AI that can work as a salesman or secretary for some boss there is a long way that the AI can operate as a therapist. 

It is the tool that should help humans. But it cannot make independent decisions. The AI has multiple limits. There are also dangers in that system. Sometimes the AI or intelligent chatbot causes situations where the people who have some problems harm themselves. 

If they use chatbots for therapeutic purposes. When we protect people's privacy we forget to ask, what the LLM should do if somebody seems self-destructive. 

The problem is that the chatbots like Chat-GPT and its competitors are not made for therapeutic purposes. There are people. Who use those creative chatbots for therapeutic purposes. And the fact is that those intelligent chatbots are not tested for those things. That means those systems can give answers that are not tolerated. And those cases mean. That we, or some other person expect too much about the LLM's and other AI solutions. 

The AI can make many impressive things like paintings or art by following text commands that the user gives. The newest tool is that the AI can make computer-game-type virtual worlds by following orders. That thing makes it possible to create a virtual model of cities and other places using spoken or written commands. 

AI can be a new tool for police work. The victim of a crime can use the AI to make the image of the person who made the crime. That makes the police artists' work easier. The same systems can be used to collect data from opponents' military systems or some other classified platforms. But those AI systems don't think. They just follow algorithms. 

The AI can change our way of thinking because it doesn't think. If the AI follows the page ranking the AI selects the popular homepages for making the solution. The AI just combines the text from different homepages. And if it selects the most popular homepages that can cause massive problems. The biggest problem is that toxic homepages are popular if we want to calculate only the clicks. And the clicks are the easiest way to measure how popular some texts are. The thing is that this can polarize information that the AI gives very much. 

And finally. Do we want the AI that thinks for us? Do we want to make a doctoral thesis using AI? That is the big thing in the AI. We can make many new things using AI. But are we going too far? When we go to some school. Maybe we want to learn something. 

But if some AI makes everything to us. That means we don't learn anything. So if we want to go to a situation where the AI makes a doctoral thesis and even thinks for us, we go to a situation where we raise the AI over us. When we cheat in cases like schools the only thing that we cheat is ourselves. The AI is the thing that requires training. The worst thing is to accept the thing, that AI cannot make everything. And it's dangerous to misuse it. 

https://futurism.com/the-byte/google-ceo-easy-ai-over

Why is the AI-development so hard to control?

Sometimes, researchers say that the developers of the AI lost control of their product. The reason for that is that the AI advances so fast. But they don't answer questions about why AI advances so fast. The answer is that the AI takes part in the AI development. The other thing is that the AI is the tool, that almost everybody can use. 

The AI is not a tool that everybody can use automatically. The system requires that the user gives commands using good grammar. So learning to give commands in the right way to AI takes time. And the AI use requires practice. Or everything can go wrong. 

The ability to use AI to make new solutions and new applications increases the number of solutions, that use the large language models, LLM, or can communicate with LLM through some other applications. That means that. Many more or less official enthusiasts use AI for software development. And that causes the effect. That the AI-using developers will create many new more or less legal applications. The AI can almost automatically create legal applications. So there is no problem with those things. 

There are people. Who tries to slow the AI advancement, but the problem is that those people work with their own AI projects. Another problem is that they work in high-class positions in their ICT corporations. That means those people will face suspicions about things like cartels. Or otherwise saying dealing over company borders is against the business laws. Sometimes people just say that those leaders want to keep breaking because their own AI projects are not successful. 

When we think the AI as the code generator, that application makes it possible for developers to create large-scale projects benefiting AI. The code, that the AI makes requires biz talk between developers and the AI. The development process is the interaction where the AI and developer play "ping pong" with software. That means, that the AI can operate in a test application and then the human developer tells how the code must be changed. The AI can automatically make code, that the programming application can change. But of course, the program requires adjustment for things like paths and other things. The system can run test applications on the server. 

The ability to make a large code that is ready for run is the thing, that makes the AI a powerful tool. That means the AI can create many things faster than before it. Another thing is that AI is the tool that allows even one man to begin quite a large programming project. This person requires at least basic programming skills. Like putting paths into the right form. And the code that the AI makes under the control of nonqualified coders might not be very beautiful.