Opinion & Synthetic Intelligence

Artificial Intelligence synthetic
The traditional methods in Synthetic Artificial Intelligence that allowed the development of the first expert systems and other applications, have gone hand in hand with technological advances and the boundaries have been constantly expanding whenever an achievement, considered impossible at the time, becomes possible thanks to advances around the world, even generating a new work mindset that does not recognize physical or political boundaries. Therefore, I am optimistic about the future as long as cultural and ethical limits are respected. Always creating machines capable of helping humans, of replacing them in unpleasant tasks, durable, heavy as a leisure complement.
Personal opinion private:
Lo que causa que la explosión de la inteligencia sea tan preocupante es que la inteligencia no es una herramienta ni una tecnología. Tal vez creamos que la IA es algo que usamos, como un martillo un sacacorchos, pero esa es fundamentalmente la forma equivocada de ver las cosas. Una inteligencia lo suficientemente avanzada, como la nuestra, es una fuerza creativa. Entre más poderosa sea, más puede moldear el mundo que la rodea.
La inteligencia artificialsynthetic no tiene que ser malévola para ser catastróficamente peligrosa para la humanidad. Cuando los informáticos hablan de la posible amenaza que representa la IA superinteligente, no hablan de Terminator ni de Matrix. Usualmente se trata de un fin más prosaico: humanity exterminated because an AI assigned a simple task (let's say, making paperclips, an example that is frequently used) requires all the energy and all the raw materials on Earth to make paperclips tirelessly and cleverly evades all human attempts to stop it.
Stuart Russell and Peter Norvig differentiate these types of artificial intelligence synthetic:
Systems that think like humans.- These systems try to emulate human thought.; for example artificial neural networks. The automation of activities that we link with human thought processes, activities like decision making,problem solving and learning.
Systems that act like humans.- These systems try to act like humans.; I mean, mimic human behavior; for example robotics. The study of how to get computers to perform tasks that, for the time being, Humans do better.
Systems that think rationally.- That is to say, with logic (ideally), They try to imitate, emulate, the rational logical thinking of human beings; for example expert systems. The study of the calculations that make perception possible, Reason and act.
Systems that act rationally (ideally).- They try to rationally emulate human behavior; for example intelligent agents. It is related to intelligent behavior in artifacts.
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