Skip to main content

Today, AI can be the greatest flop in business. But it might have a bright future.


AI is an impressive tool. It can tell almost everything, But sometimes it makes very big mistakes. I once asked about altocumulus, which is one type of cloud. The AI gave information about some kind of flower. The fact is that these kinds of errors are good examples of mistakes that AI can make. 

The AI uses the page rank of the search engine. And that makes it easy to manipulate the answers that it gives. I use the AI just for fun, and in some cases, I use the sources that the AI gives. But there is a long journey to common AI that can create things like humans.




***********************************************************


When somebody asks something by using AI, that person gives an advertisement to that system.


When a user asks something, the AI must have certain instructions on how to search for data. If there are problems with queries, the AI cannot form the entire data set. And if the query is wrong, the AI is unable to operate.

The AI requires fuzzy logic for fixing writing errors. The problem with fuzzy logic is that if some words are similar to each other, like back, black, and slack, that causes a problem with fuzzy logic. The AI doesn't know if the user means black but writes "slack". 

That's why queries must be long enough so that the AI can use other text to conclude what the word that person means. When humans fix those kinds of things, they see from context or entirety what the word means when the user writes the word black. 

And that causes problems for AI in making answers. The AI doesn't give answers by using imagination. It just connects different data sources, and then it generates answers by connecting certain parts of those databases.

The system must search its internal databases. Then it must go to the open internet for search data. The problem with that process is that the AI has problems with cultural and language differences.


************************************************************


Originally, the idea of AI was to develop a system that could replace humans as ordinary or routine thinkers. The purpose of the AI was to outsource routine thoughts to it. And that is one of the things that people don't think about: they outsource their thoughts to the AI. And that thing is not a very good idea. Our brain requires practice, and we should not stop thinking even if we have some kind of AI.

The AI is in its infancy. That means there are many types of bugs in the AI. The thing is that the development of AI is just beginning. The AI is a suitable actor if it has a limited operational area and sector that it can effectively control. Making some new molecules is different from making them act like real humans.

So at this moment, the AI that discusses with people is suitable for fun. Or the AI can be used to make some kind of computer program because in programming there are certain, clear orders. That makes the AI very good when programmers want to make some database connections. But the problem with AI is that it doesn't know what something is. And in some uncommon cases, the AI is helpless because the search engine has not given a pagerank for that kind of topic.

Comments

Post a Comment

Popular posts from this blog

What is the difference between TR-3A and TR-3B? And are those planes real?

What is the difference between TR-3A and TR-3B? And are those planes real? Is TR-3B (0) "Black Triangle UFO" or is it only the piece of paper?  The study project, what is used to create advanced ideas for use of the nuclear-powered aircraft. Or is it the study project or black budget aircraft, where lost 2,3 trillion dollars (1)of the stealth bomber were gone. In this text is things, that might seem very difficult to accept, and when we are thinking about things like doubling the object or making it smaller by using huge layers of energy, nothing denies to test those things. But were those tests successful, there is no data about that in public Internet, so we must say that things like doubling the human or aircraft can be tested, but the results can be unknown.  But in the source two is the tale, what seems like impossible, those men, who got Noble Prize put at first time one atom to the box, and hit it with photon one photon in the box and hit it with th
Post a Comment
Read more

Mythic Planet X is an interesting thing because that allows the way to the perfect stealth technology.

  Mythic Planet X is an interesting thing because that allows the way to the perfect stealth technology.  Could a hypothetical Planet X tunnel all radiation?  The myth of Planet X still lives. Nobody ever saw that planet, and the thing that supports the theory of previously unknown large-size planets in Kuiper's belt are mysterious anomalies in Neptune's trajectory. The thing is that nothing else supports the theory of the existence of the "invisible planet". The size of the planet must be very big. And its gravitational field strong that it can affect Neptune's trajectory.  And the search for that mysterious planet is very long work. In some visions, the mysterious gravitational source is mentioned as the small black hole, but nobody understands why that black hole doesn't seem to interact.  In some other theories, Planet X is a glimpse of dark matter. And that thing makes it invisible. But there is one weakness. The dark matter object must have some kind of
Post a Comment
Read more

Nanoparticles are excellent tools for medicine transporters.

"Researchers have developed a new therapy for pancreatic cancer involving nanoparticles that stimulate immune responses and improve drug delivery. This innovative method has led to significant tumor reduction in mice and holds potential for treating other cancers. Credit: SciTechDaily.com" (ScitechDaily, New Nanoparticle Cancer Treatment Successfully Shrinks and Eliminates Pancreatic Tumors) Nanoparticles can carry medicines into wanted cells. The idea is that the same system that feeds those cells transports those nanoparticles into cells that need medicine. When a nanoparticle goes, into a cell, it releases the chemicals into the targeted cells. Because nanoparticles don't let medical molecules interact with a body that makes it possible to create new and more powerful cytostatics. Nanoparticles can transport things like ricin molecules into wanted cells.  Ricin is one of the most poisonous chemicals. That chemical is useful for next-generation cytostatics, if researche
Post a Comment
Read more