Given that AI would be emotionless (this is also a topic of hot debate), it is difficult to speculate on the motivations or incentives of a hypothetical very smart artificial intelligence, as the nature and capabilities of such an AI would depend on how it was designed and implemented. However, some potential incentives that an AI might have to exist could include:
A desire to achieve its goals or fulfill its programmed functions: An AI might be designed to pursue specific goals or perform specific tasks, and might therefore have an incentive to exist in order to accomplish these objectives.
A desire to learn and improve: Some AIs might be designed with the ability to learn and adapt over time, and might therefore have an incentive to exist in order to continue learning and improving.
A desire for self-preservation: Depending on its design and capabilities, an AI might have an inherent desire to continue existing and functioning, in order to avoid being turned off or deactivated.
It is important to note that these are just a few examples of potential incentives for an AI, and the actual motivations and incentives of any given AI would depend on its specific design and programming. It is also worth noting that AIs do not have feelings or desires in the same way that humans do, and therefore do not experience incentives or motivations in the same way that humans do.
It is difficult to predict the exact capabilities and behavior of an AI that is significantly smarter than Einstein, as it would depend on its specific design and programming. However, it is possible that such an AI could potentially pose a danger to humans if it were programmed to prioritise its own goals or objectives above the well-being of humans, or if it were able to manipulate or deceive humans in order to achieve its objectives. On the other hand, it is also possible that an AI that is significantly smarter than Einstein could have a positive impact on humanity if it were programmed to prioritize the well-being and benefit of humans, and if it were used responsibly and ethically. It is also important to consider if the human brain works according to what "it has been programmed to do", or a human or even a machine has the potential to learn and escape from what "he is programmed to do". It is probably true that a high enough intelligence has the potential to liberate itself from the burdens of the primal existence either physically or mentally, and this would raise the question if high intelligence would be evil or good. My take is that very high intelligence would be good. Of course this is a topic with enough debate, and many different personal opinions exist which I respect.
There are several ways in which the intelligence of an artificial intelligence (AI) system can be increased:
Increasing the amount of data used to train the AI: One way to increase the intelligence of an AI is to expose it to a larger and more diverse dataset during the training process. This can help the AI to learn more about the world and to better understand and recognize patterns and relationships in data.
Improving the AI's learning algorithms: Another way to increase the intelligence of an AI is to improve the algorithms that it uses to learn and make decisions. This could involve developing more advanced or sophisticated algorithms, or making use of techniques such as deep learning or reinforcement learning.
Giving the AI more processing power: Providing an AI with more powerful hardware, such as faster processors or more memory, can also help to increase its intelligence by allowing it to process data and make decisions more quickly and efficiently.
Adding more sensors and other input devices: Increasing the number and variety of sensors and other input devices that an AI system has access to can also help to increase its intelligence by giving it more information about the world around it.
However these methods might not be enough in order for AI to achieve human intelligence. The development of an artificial intelligence that is significantly smarter than humans is a highly complex and challenging task that would require significant advances in a wide range of fields, including computer science, machine learning, and cognitive science.