The next step in generative AI is interactive generative AI.

The next step in generative AI is interactive generative AI.

The interactive AI means that the person just talks to AI and then AI follows the orders. The ability to use the natural language makes it easier to communicate with robots. The human operators can give instructions to robots on what they should do next.

The interactive AI-based translator makes it possible. People can use their languages in communication whenever they want. The translation program can installed on cell phones. And then people can use it like any other social media program. The communication could happen through central computers where the server program translates words to the target language.

Or the system can use the morphing network or cloud-based architecture where a cloud of cell phones shares their calculation capacity. Interactive AI can also be a powerful tool for programming and any other things like the R&D process of physical tools.

The interactive AI can give instructions to programmers. Or it can generate the code from examples. Then the AI asks for the databases' names that want to connect with the program. If AI has access to hard disk, it can search those databases itself, and make the paths.

There is the possibility that the AI has a multi-tasking user interface. If the names are not said clearly. The AI can ask to write those filenames. Or it can suggest files that look a little bit about the name that AI heard. The AI can give lists about the found names and then the user can select the right one.

The next big step in the development of AI is interactive, generative AI. Traditional generative AI just follows the order like "draw me a flower". And then the generative AI just creates that image. Interactive AI discusses with the user, it asks what colors and surfaces the user wants to use in the flower.

The person can ask to make the yellow flower with crystal leaves and metallic surface and interactive AI just starts to make the flower. During that process, after every stage, it asks is customer happy. Is there something that wanted to change, or is there some hue of color that the user wants to use?

If the user wants the AI to make a painting, the AI might ask if is there some painting, that the user wants to use as the base. Then the AI asks what parts are the best in the painting, and then it might ask what details the user wants to use in the AI-generated version.

In the case of the R&D process, the interactive AI is the tool that can ask if is there some airfield where the aircraft must fit. Then it can ask some special variables what are the wanted payload and other abilities that the system must have. If AI creates drones it requires the computer code, that it uses.

The complicated AI requires powerful computers, and those computers require cooling systems and other kinds of things. Also, the sensors and other things like the drone's purpose determine it's size. The things that the AI also requires are manufacturing tools and available materials. Interactive AI is a tool that discusses with people during the generative process.

If the interactive AI drives a car it acts like a second driver. The system might observe a human driver, and if that person is tired or nervous, it can ask what's problem, is and tell that the person needs a break. The interactive AI can take information from the traffic control and adjust the car's speed to a level that it must not stop. The AI can also make a report to authorities if the person seems drunk or somehow angry and request traffic police to stop the driving.

If a driver makes the mistake that takes the car into the traction. AI can fix that error. When AI takes control the clutch separates the wheel from the power steering so that the driver cannot turn the car. That thing is an important detail in robot cabs. If a drunk person can take a car in control, that thing causes a terrible situation.

When every single wheel is operated in separate electric engines the AI can adjust their rotation direction and rotation speed. These kinds of systems can installed in hybrid and electric cars. This type of vehicle can use diesel- (or combustion)-electric driving systems. And those systems make them very fast.

https://www.analyticsinsight.net/interactive-ai-a-step-closer-to-conversational-artificial-intelligence/

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