From silicon to sentience: The legacy guiding AI’s next frontier and human cognitive migration

People always have migratednot only in physical landscapes, but through the way of working and thinking. Each major technological revolution demanded a kind of migration: from the field to digital reflexes from the factory, from the factory, to music, analog habits. These changes did not simply change what we did for work; We changed ourselves and how we decided to make us valuable to us.

A clear example of a technological displacement is from the beginning of the 20th century. In 1890, more than 13,000 companies built horsemen cars in the United States. Less than 100 to 1920. In the range of a generation, the whole industry collapsed. As a Microsoft Blog Lost her work Accounts, it was not only related to transport, and the displacement of millions of employees, the death of trade, the death of the city life and the massacre of continental mobility. Technological progress does not want permission when they arrive.

As it is today AI increases moreWhen people need to move again, we enter the time of cognitive migration. This time, displacement is less physical and more intellectual: machines removed from the tasks, and from the tasks to the domains where human creations, ethical judgment and emotional ideas are important.

The industrial revolution is full of migration triggered by history machines to digital control. Every required new skills, what it means to make new institutions and contributions. Each created new winners and left others behind.

Slim shift: IBM’s “cognitive period”

In October 2015 a Gartner Industrial ConferenceIBM CEO CEO Ginni Rometty announced the beginning of what the company called Cognitive cycle. Was more than a clever marketing campaign; This was a signal to redefine the strategic direction and the rest of a new phase.

Previous decades, in the form of programmable systems written by human program engineers, will be determined by systems that can learn and improve the cognitive period over time. These systems, equipped with Machine Learning (ML) and Natural Language (NLP), cannot be explained clearly what to do. They will result in synthesis and interactions.

In this vision center, IBM’s Watson has already made headlines to defeat human champions in 2011 Let it be! However, Watson’s real promise was not about not winning shows. Instead, thousands of clinical testing from lawyers who offer treatment to doctors or analyze the wide building of the laws of the law. IBM, Watson is not a substitute for professionals, but as a first cognitive pilot, as the strengthening of the human intelligence.

This framework change was significant. Emphasizing automation and efficiency, unlike previously technological periods, the cognitive period stressed the partnership. IBM spoke “Expanded intelligenceThis is not “artificial intelligence”, these new systems are not an opponent, as employees.

However, something hidden in this vision was a deeper thing: the length of the white collar vocational class was not safe without automating the recognition of the length of cognitive labor. As a steam engine IDP physical employee, cognitive calculation would only begin to conspire the domains that man thinks people: language, diagnosis and decision.

IBM declaration was both optimistic and legged. He imagined a future that people could do more with the help of cars. At this time, this time, this time, this time, it also pointed out in a future where the machines should still be transferred to the domains – meaning, such as emotional resonance and ethical thinking.

The declaration of the cognitive period was seen significantly at the moment, but in the meantime, in the meantime, it has understood its long-term effects. In fact, it was the official announcement of the next major migration; one is not from the body but from the mind. This made a new journey to check our identity, but not only our skills in the area.

The first major migration: from the field to factory

To understand great cognitive migration, we must first consider the migrations that come first to understand how qualitatively unique in human history. Until the digitization of modern work, the growth of factories in the industrial revolution, each major innovation, demanded a change in skills, organizations and assumptions.

The Industrial Revolution, which began in the late 18th century, attracted the first major migration of human labor in a mass entirely. Steam power, mechanization and factory systems increased millions of people from the village agrarian life to crowded and industrialized cities. Once local, seasonal and physical labor, specialized and disciplined, productivity as a driving force.

This passage has not changed only where people work; Changed who they are. The village of blacksmith or cotton was moved to new roles and became cogs in a wide range of industries. Time hours have begun to redefine the logic of the turns and efficiency. All generations should learn new skills, accept new routines and accept new hierarchies. It was not just a labor, it was an identity.

Most importantly, the institutions also had to migrate. Public education systems have expanded to produce literate industrial laborers. Governments brought labor laws to new economic conditions. Unions appeared. Cities grow rapidly, without the infrastructure. It was perplexed, unequal and traumatic. He was also marked by the beginning of the modern world and increasingly cars.

This migration has created a repeated example: modern technology must adapt to the displacements of modern technology, people and society. This adaptation can occur gradually – or sometimes violently – resulting in a new balance. But every wave asked us more. The Industrial Revolution demanded our body. He demanded our next brain.

The Industrial Revolution demanded our body, the digital revolution demanded a new mind. From the middle of the 20th century, the 1980s and accelerated in the 190s, computing technologies once again changed human work. This time the repetitive mechanical work was increasingly replaced by data processing and symbolic manipulation.

Sometimes in what is in the age of information, secretaries became information analysts and the designers became digital architects. Administrators, engineers and even artists began to work with pixels and code instead of paper and pen. The work factory floor was transferred to the office tower, as a result of our pocket. Knowledge work was not only dominant, but an invigorating. The computer and spreadsheet were voters and shovels of a new economic order.

I saw early my first hand while working as a software engineer in Hewlett Packard. Several new mint MBA graduates came with HP brand Vectra computers and Lotus 1-2-3 Table program. Information analysts changed the enterprise, the analysis of information was seemingly when they started analyzing the costs Operational efficiency.

This migration was less visible to the factory without a farm, but was not less important. In terms of cognition, productivity has reassigned: memory, organization, abstraction. Between the digital systems and those who are eliminated behind the rest brought new inequality forms. And again, the institutions crawled to keep the pace. Schools were rejected for “21st century skills”. Companies reorganized the flow of information using techniques such as the work process reendiringing. Identity has changed again this time from the employee to the knowledge employee.

Now in the middle of the third decade of 21^f Century, even knowledge work is automated and white collar workers can feel climate change. The next migration has already begun.

The deepest migration yet

We have migrated our labor between fields, factorie and fiber optics. We adapted each time. It has often been uneven and sometimes painful, but we have passed a new balance, a new balance. However, cognitive migration is now not different from the previous ones. It does not change how much we work; It makes it difficult for us to be difficult, us are irreplaceable: Our rational thought.

We have to slip again as AI grows more skilled. Against the deeper skills, but creativity, ethics, empathy, meaning, meaning, meaning, and even the deeper people who have human strengths, including spirituality. This is the deepest migration this time, because it’s not just the right thing. It is about discovering who we are as we produce and understand the true nature of our value.

Accelerant change, compressed adaptation

The schedule for each technological migration also accelerated sharply. More than a century, the industrial revolution allows to adapt generation. The digital revolution has been tackle until several decades. Some workers started their careers with paper documents and retired cloud databases. Now the next migration is just happening in years. For example, a large language models (LLS) went to the workplaces in less than five years of academic projects.

William bridges were recorded in the revision of 2003 “To manage the passages: “This is the acceleration of the pace of change in the last few decades so that we have to adopt and make us a transition. “The pace of change is faster than in 2003, which makes it even more relevant.

This acceleration is not only reflected in the main devices, not only in the AI ​​program. In the digital revolution, the prevailing computing element was a CPU that fulfills the instructions based on the rules coded by a software engineer. Now the dominant calculation element is a GPU that brings out the instructions in parallel and learn more from the rules. The parallel execution of tasks provides a secret acceleration related to the calculation. It is no coincidence that the leading GPU’s leading developer Nvidia belongs to this as “accelerated calculation.”

Existential migration

The transitions that once developed between generations are now happening in a single career or even a decade. This special turn requires a basic assessment of what makes us a person not just new skills. Unlike previous technological turns, we cannot just learn new tools or accept new routines. We must migrate in the area where our ability to make creativity, ethical judgment and meaning, exiquity judgment and meaning to our ability. The problem before us is simply technological adaptation, but not defistating existential.

The AI ​​Systems Master is once thinking of ourselves as unparalleled human responsibilities, we find ourselves in a journey that accelerates ourselves: the essence of being a person who is only an exclusive domain.