Are we ready for AGI, and robot combination?

Artificial general intelligence AGI is one of the things that cause discussions. Somebody says that it releases low price people. But somebody says that the AGI causes very big problems. The fact is that all changes cause problems. If we want to use some new things, we must learn how to use them right. 

The AGI is a tool that can make many things. Or it should be that tool. 

We can say that AGI is a group of action modules around the LLM. And that makes it one of the most powerful things. 

The thing is that. Nobody knows the limits of modern LLM-based AIs. 

And that causes another thing, that we should think about.

Do we already have the AGI? We can collect almost every kind of action package around the LLMs. And the limit is that there should be a tool that can interact with the LLM. In the AGI model, the LLM takes the order. And then it transfers the mission to the module responsible for that action. 

If we want AI to cook food for us that tool requires an actor that operates in the physical world. The medium between computers and humans is robots. The man-shaped robot is one of the most interesting tools that we can imagine. That tool can affect society stronger than ever before. The LLM-based AI is not even five years old. And it started a revolution, especially in the ICT industry. So, what kind of revolution can the AI that controls robots in independent actions like cleaning? 

That means the requirement for calling things like robot vehicles to the door requires that the LLM has the socket that allows it to call robot vehicles. Or it must have a robot that takes the car. The human-looking robots are tools that can download any type of action package. And that makes those things act as chefs, cleaners, drivers, or anything that the user wants. 

But are we ready for those tools? The AGI is impressive. It learns faster than any human. The thing is that. This kind of system can revolutionize the world. The same robot that can act as a chef or cut our grass and drive our children home can operate as a merciless weapons. Those systems are dangerous in the wrong hands. The problem is that even if there are some kind of laws and other things that limit the AI use as a weapon controller those systems require very high-level data security. Things like organized crime can also use robots for their purposes. 

The thing that makes robots a powerful tool for the underworld is that those people can erase their memories. If we think the man-shaped robots that look some certain people, we face one problem. The problem is that some people can make full-size copies of bank managers. Those robots can walk in the banks. And then make money transactions for hackers. 

When we think about the first-person view robot, that looks like a human, we are facing one of the most interesting things. The hacker can operate that kind of robot using VR glasses and other input tools like data gloves. Then hackers can put that robot play things like cleaner. And when that robot slips in the office hackers can use it as a remote tool to control the computer. That is one of the illegal activities that this kind of robot can make. And those robots can also operate on the battlefield and cover operations. 

The AGI: what is it?

If we think that the Artificial General Intelligence is the LLM that commands robots, we can ask one question. How many things can we order those robots to make? Or, how many things do we make in everyday life? If we forget things like military robots and some special-purpose androids. We can ask how many skills robots must have. That they can clean our houses and go to shop for us. 

And how many things do we do in our everyday life? If we forget things like lunches or some other things, can we make a robot that takes the grocery bag from the shop jumps in an electric car, and drives home automatically? The Large Language Model, LLM, and robot can operate as chefs if we want. 

If a robot has a module that allows it to make food, and check things like how ripe the meat is, it can make automatically food that the client wants. The client must only order some food. Then the system searches the merchandise list for the food. And after that, the robot will take those things from the shop. 

The AGI means general intelligence. That can use everything. But then we must realize that there is no single person on Earth, who knows everything. 

For making things in physical words the AGI requires a robot. The robot is the tool that connects physical items with computers. But if we want to use AI to make things like nanotechnology, that means that nanotechnology requires the tools that are suitable for nanomachine creation. Those tools are different than some screwdrivers, that operators can use to fix the car engines. 

The AI and especially Large Language Models, LLMs are new tools. The route to the Artificial General Intelligence AGI might not be as long, as we think. The modular data structure where the LLM works with multiple modules is a route to the AGI is route to the AGI. In the modular data structure, every skill that the AGI has is in the pre-programmed module. This thing makes it possible to create the entirety that the user can operate through the LLM. 

The system might have modules that it uses to control cleaner robots. The cleaner and housekeeping robots can be the same physical tool. However, the mission modules determine the role of the robot. The system has modules that control the temperature in the house. The module controls robot cleaners. The other module is connected to the robot car, which transports the robot to the shop to buy everyday goods. 

The partial mesh network is an open structure. That allows developers to connect an unlimited number of full-mesh networks into that data structure. 

The thing in the AGI is this. The AGI learns through modular data and database structure. When the AGI gets a new skill it simply creates a new module. The system can use so-called double mesh networking. The partial mesh protocol can involve the internal structure of the full mesh networks. So each ball in the partial mesh networking diagram involves the full mesh network. The open structure means that the system and its abilities can expand as much developers or the structure itself needs. 

Determining the AGI is difficult because the AI must handle every problem that it faces. But the AGI is still only a computer program. The full mesh protocol there the center is LLM. The LLM can call the module to make an operation if it requires it. But that requires the existence of a module. 

Sometimes people compare the AGI with things like mobile telephones. How many applications do we use every day? Is it E-mail, net browser, and some payment solutions? So, even if we have an AI that operates with multiple tools, can we call that thing AGI?

And do we have skills and knowledge to benefit the AGI even if we have it? We can have a robot car that drives a human-looking robot to shop to get the pre-ordered things. The modules limit the skills that those robots have. That means the robot can make many things.