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Humans have always immigrated to survive. When the ice rivers advanced, when the rivers dry, when the cities fell, people moved. Their flights were often painful, but necessary, whether through deserts, mountains or oceans. Today, we enter a new type of migration – not through geography but by perception.
AI reshapes the cognitive scene faster than any technology before it. In the past two years, large language models have been achieved PhD performance Through many areas. It reshapes our mental map, such as the earthquake, can disturb the physical scene. The speed of this change has apparently apparently led: We know that immigration will come soon, but we are unable to imagine exactly how or when it will reveal. However, do not make mistakes, the early stage of the amazing transformation is ongoing.
Tasks are once performed for educated professionals (including composing articles, composing music, formulating legal contracts and diagnosing diseases), by rapidly breathtaking machines. Not only that, but the latest artificial intelligence systems can make the inferences and communications with micro -grains that have long been believed to require a unique human vision, which increases the acceleration of the need for migration.
For example, in New Yorker articleProfessor of Prinston’s history of Graham Burnett, about how Google Notebooklm made an unexpected and illuminated statement between theories of the philosophy of enlightenment and modern TV advertisement.
With the growth of artificial intelligence more capable, humans will need to adopt new areas of meaning and value in areas where machines are still stumbling, and where human creativity, moral thinking, emotional resonance, and weaving the initial meaning remain indispensable. This “cognitive migration” will know the future of work, education and culture, and those who get to know and prepare for it will form the next chapter in the history of mankind.
Where machines are offered, humans must move
Like climatic immigrants who should leave their familiar environment due to the increasing tidal high, knowledge immigrants will need to find new terrain as their contributions can have valuable. But where and how will we do this exactly?
Murafic paradox It provides some insight. This phenomenon was named for the Austrian world Hans Moravik, who in the 1980s noticed that the task that human beings find it difficult to have a computer, and vice versa. Or, as a computer and future scientist Kai-Fu Lee He said: “Let’s choose to allow machines to be machines, and let human beings be human.”
MORAVEC’s vision provides us with an important idea. People outperform the intuitive and emotional tasks that are deeply related to the embodied experience, which are areas where machines are still stumbling. Success in moving via a crowded street, recognizing the mockery of conversation and limiting that the painting feels that all of the sadness is the exploits of perception and judgment that millions of years of development were deeply dug in human nature. On the other hand, the machines that can ACE logic puzzle Or it often summarizes a thousand -page novels in the tasks that we consider the second nature.
Human ranges cannot reach AI yet
As artificial intelligence progresses quickly, the safe terrain of human endeavor will migrate towards creativity, moral thinking, emotional communication, and profound meaning weaving. The work of human beings in the non -distant future will increase the human strengths uniquely, including the cultivation of insight, imagination, sympathy and moral wisdom. Like migrants looking for a new fertile land, cognitive migrants must draw a path towards these distinctive human areas, even with the transformation of the old landscape of work and learning under our feet.
Each function will not be clouded by artificial intelligence. Unlike geographical migrations that may have clearer starting points, cognitive deportation will gradually reveal at the beginning, and in an unequal manner in various sectors and regions. The deployment of artificial intelligence techniques and its effect may take two or two decades.
Many roles that depend on human existence, intuition and build relationships may be less affected, at least in the short term. These roles include a group of skilled professions from nurses to electricity and confrontation services workers. These roles often require accurate judgment, incarnate awareness and confidence, which are human features that do not always fit machines.
Cognitive immigration, then, will not be global. But the broader shift in how to set the value and the purpose of human work is still extending out. Even those whose tasks remain stable may find their work and the meaning of reshaping them by a world of flow.
Some reinforce the idea that artificial intelligence will open the world of abundance as the work becomes optional, creativity flourishes and society flourishes on digital productivity. Perhaps this future will come. But we cannot ignore the huge transition it will require. Jobs will change faster than many people can adapt realistically. The institutions, which were created for stability, will inevitably be delayed. The purpose will be eroded before re -visualization. If the abundance is the promised land, then the cognitive migration is the required journey, even if it is unconfirmed, to reach it.
Unparalleled road forward
As in climate migration, not everyone will move easily or evenly. Our schools are still training students in a world that disappears, not the emerging world. Many organizations that cling to the metaphysical standards that are equivalent to repetitive output, and the thing that AI can surpass us now. Many individuals will let them wonder and wonder about the place where their sense of goal fits in a world that can do what they did proudly.
The human and meaningful purpose is likely to be subject to a major revolution. For centuries, we have Select ourselves By our ability to think, mind and creation. Now, where the machines take more of these jobs, our place questions and value become inevitable. If the AI’s job losses occur widely without a proportional capacity for people to find new forms of meaning, psychological and social consequences may be deep.
It is possible that some cognitive immigrants can slide in despair. Amnesty International, Jeffrey Hunton, who won the Nobel Prize in Physics for the year 2024, warned of his pioneering work on deep educational nervous networks that support LLMS, in recent years of possible damage that could come from artificial intelligence. in interview With CBS, asked if he was desperate about the future. He said he did not, because it was paradoxically that he found it very difficult to take (AI) seriously. He said: “It is very difficult for your head to wander around the point that we are at this very special point in history where in a relatively short time, everything may change completely. A change on a scale that we have not seen before. It is difficult to absorb this emotionally.”
There will be paths forward. Some researchers and economists, including the Massachusetts Institute of Technology, David Outor, have begun to do so Explore How artificial intelligence can eventually help rebuild the functions of the middle layer, not by replacing human workers, but by expanding what humans can do. But reaching there will require deliberate design, social investment and time. The first step is to admit the immigration that has already begun.
Immigration is rarely easy or fast. It often takes generations to fully adapt to new environments and facts. It is possible that many individuals will fight through a sad multi -stage process of denial, anger, bargaining and depression, and finally acceptance before they can move towards new forms of contribution and meaning. Some may not migrate completely.
Dealing with change, on both the individual and societal level, will be one of the greatest challenges in the era of artificial intelligence. The era of artificial intelligence is not only related to building more intelligent machines and the benefits it will offer. It is also related to migration towards a deeper understanding and adopting what makes us human.
Gary Grossman is EVP to practice technology in Edelman The global bullets of the Edelman AI Center for Excellence.
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