What happens when the AI starts to think like a human? That is an interesting question because nobody knows what the person next to me or you really think. They know what that person tells them about thinking but then we must realize, that nobody knows how, or what the next person thinks. We can do many complicated things. And then we must realize, that we don't even know what we are doing.
The AI-controlled robot can select a screwdriver and tighten the screw. The robot can answer questions like what tool it uses and when and where it must use that tool. The computer doesn't need complicated algorithms for that thing. It requires the trigger. That is the screwdriver image. That image activates the database. There are the needed enlisted replies. Those texts might seem like spoken languages.
Those things are fixed models that might make the AI seem very humankind.
And if the AI doesn't have the image and database, it can ask the user to make a new database for the new tool.
There the user can write the description for the AI.
In that model. The AI can ask questions from the list there the user gives answers. And that is one way to teach the AI.
We can cut boards without knowing where they are going. We can drive a car. And we must know anything about those vehicles.
We don't need to know how algorithms work when we use the internet.
In the same way, we might see that algorithm or the large language model, LLM seems to think. While it sorts information. That it collects from the net. The AI doesn't do anything without commands. There is the user who gives the AI orders. Or there is a trigger in the AI that launches certain operations. The trigger can be a certain pressure level in the tube. When AI notices the pressure it orders to decrease the temperature in boilers.
Thinking is a complicated process. We say process. Where the nervous system connects information from the senses with memory as "thinking". If we want to mimic that process in the computers we must make billions of databases and connections. The simple thing to make the "semi-thinking" AI is to make it ask questions. The AI might have the list of questions that it should as the coder or developer.
Some expert's opinion is this. The future is in a small language model. The small language model, SLM is the segment from the large language model. That segment is the group of abilities that the LLM has. The segment can include things like programming models.
The advanced AI can ask questions about things. That it should be done if the system operator orders the AI to draw humans.
LLM can ask questions about the clothes that those people wear.
It can ask about the colors and styles of their clothes. The AI can have a list of the things. That it should notice when it operates with humans.
Same way the use of AI is always a thing the coder operates in interaction with the AI. The AI should ask questions about things, that the operator wants it to do. The coder must give descriptions about the thing, that the AI must do. Without interactions and descriptions, the AI is in trouble. If we think that the AI replaces coders and does a good job if it takes the command "make me the CAD program". In that case, we overestimate the AI. And it's capacity.
When we leave programming to the hands of the AI we forget one thing. The AI might seem very creative. But it always follows certain routes for solutions. Those formulas make those AI-produced programs very vulnerable. If the AI always uses certain paths and always gives the same names for the folders. That means that the attackers find those paths and folders very fast if they want.
AI can seem like a human. It can answer very complicated questions. Or do we just think about that thing like that?
Are all the questions that we ask the AI difficult?
Another thing that can motivate us to use AI is simple. That we are lazy. We have no time to read articles. Or we just need that time for some other things. So we might ask for some terms that we would find any way from Wikipedia from the AI.
https://www.quantamagazine.org/will-ai-ever-understand-language-like-humans-20250501/
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