Since ChatGPT came out, everyone knows that a big step has been taken in the technology tree of artificial intelligence.
Generally speaking, the version that is open to the general public is basically at least 10 to 20 years away from the most cutting-edge technology.
Maybe you don't understand why this is happening?
This is related to the understanding and application of the public.
For example, do you feel that the pace of life is getting faster and faster, and you feel that there is not enough time every day, and it will pass in a blink of an eye?
This is because in the same time, the individual receives more and more information, the brain is constantly busy, and the subconscious ignores the perception of time.
All of these are closely related to the rapid development of technology.
If the process is too fast, the learning adaptability of ordinary people cannot keep up, and it is likely to have the opposite effect.
Nowadays, artificial intelligence has a good performance in various fields, such as learning, work, life, etc.
Since the current artificial intelligence is based on a neural network that imitates the human brain, the model of natural language learning does not produce its own thinking logic.
It is much inferior in terms of imagination such as art.
So, many people are curious, what stage is human artificial intelligence in now?
Or what is the stage of development of artificial intelligence?
Don't worry, next Minggan will take you to talk about the definition of human development of AI.
The scientific community has a definition of seven stages of AI development, and of course, these stages are only a standard representation and may differ in different contexts or interpretations.
Phase 1: Rule-based AI systems, also known as reactive machines, which are the earliest stages of AI.
These systems operate according to a set of rules or algorithms defined in advance by programmers.
Imagine playing chess with a computer that learns all possible moves and decides on the best option based on the rules of the code.
But it can't learn or go beyond these rules to adapt.
These systems are ideal for tasks with clear rules, such as diagnosing mechanical problems or dealing with taxes**.
So, they are very reliable.
However, their intelligence is severely limited, and they lack the ability to learn or understand context.
Their decisions are based solely on the rules provided and cannot handle scenarios that are not pre-programmed.
In general, AI at this stage can only deal with problems that humans can handle, but more efficiently.
Stage 2: Limited memory, with contextual perception and memory systems, goes beyond rule-based AI systems.
This phase represents a major advance in artificial intelligence, where AI systems are able to understand and preserve context, that is, they are able to remember previous interactions and use that knowledge to guide future responses.
A good example of this is smartphone assistants, such as Siri or Google Assistant, which not only handle voice commands, but also remember your preferences and history, provide more personalized responses and execute commands, and they also learn from your previous interactions.
If you ask who won yesterday's football match and then ask when their next game is going to be, the system will understand"them"Refers to the football team you mentioned earlier.
This represents a big leap forward compared to rule-based AI systems that can handle a wider range of interactions.
Another example is the well-known chatbot GPT, which has been trained on millions of past conversations to generate automated, human-like responses to any conversation.
This contextual awareness and information-retaining capabilities enable these AI systems to deliver a more personalized experience.
They are like teenagers in the development stage of AI, although they are not yet capable of independent thinking, they have learned to remember and interact with context.
The third stage, the theory of mind, is the mastery system of a particular field.
This stage goes beyond the awareness of linguistic connections to the AI system and represents an increase in the system's capabilities in a specific domain.
Not only are they able to understand and process information in a particular field, but they also demonstrate advanced expertise and skills in that field.
To put it simply, they are extremely partial geniuses, they are not generalists, they are just excellent experts in a specific field.
IBM's Watson is a perfect example of this, which is specifically designed for the quiz show Jeopardy, while the rest of the abilities are very ordinary.
Another example is Google's Deepmind AlphaGo, which was specially trained to master the complex board game Go and successfully defeated the world champion.
These systems have a deeper understanding of the specific domain in which they are located than humans, can analyze large amounts of data, identify patterns, and can make informed decisions at breakneck speeds.
Domain-specific mastery systems represent the maturity of AI, demonstrating their ability to be sophisticated and specialized in a particular domain.
But as advanced as they are, they are still a long way from realizing the dream of true artificial general intelligence.
Stage 4: Self-awareness, thinking and reasoning about artificial intelligence systems.
At this stage, we can see that AI systems really start mimicking the human ability to think and reason.
Unlike previous stages, these AI systems don't just follow rules or linguistic connections, but they begin to try to mimic human thought processes.
With these two abilities, they are able to understand complex concepts, solve unfamiliar problems, and even generate creative ideas.
That is, at this stage they have the basis of imagination.
This is made possible by technologies such as machine learning and deep learning, which allow AI to learn from experience and improve its performance over time.
For example, such an AI system can understand the plot of a book, the motivations of the characters, and carry out ** on the development of the story.
It can also analyze data from a variety of **, identify patterns and draw conclusions.
These systems demonstrate a higher level of cognitive ability and the ability to reason in a way similar to the human mind.
And the motivations of the characters can be inferred based on human actions, or economic data, market trends and investment strategies can be analyzed.
At this stage, AI begins to resemble human intelligence in a deeper way.
It analyzes the user's behavior, identifies patterns and preferences, and provides personalized recommendations.
At this stage, AI systems have the ability to understand and interpret unstructured data, such as natural language or images, enabling them to perform tasks that were previously limited to human intelligence.
These thinking and reasoning AI systems are capable of more advanced cognitive functions such as logical reasoning, problem solving, and decision-making, and can provide valuable insights and solutions in a variety of domains.
But it is still not the same as the human mind, but more like a highly advanced tool dedicated to reasoning and thinking tasks.
While the capabilities of these AI systems are fascinating, we're only halfway there.
The next stage will be the realm of science fiction, where artificial intelligence will rival human intelligence.
Don't be surprised, read on.
Even beyond the fifth stage of human intelligence, the birth of a new mind: artificial general intelligence (AGI).
When we enter the realm of artificial general intelligence, we enter a world of artificial intelligence that is currently mostly theoretical.
AGI, also known as strong AI, refers to a type of artificial intelligence that is equal to human intelligence in every way.
AGI systems will be able to understand, learn, adapt, and implement knowledge across a wide range of mission areas.
It's not just good at a certain area, like the AI system in the third stage, and it's not just about demonstrating human-like reasoning capabilities, like the fourth stage.
AGI will be able to effectively perform any intellectual task that a human can accomplish, yes, any problem.
If you ask an AGI to learn a new language, compose a symphony, derive complex mathematical theorems, or even understand human emotions, it can theoretically do it.
It will be self-aware, aware and understanding and able to understand and adapt to the world as a human being.
For now, though, AGI is still a concept, and there are many technical and theoretical challenges that need to be addressed to achieve it.
Scientists and researchers in the field of artificial intelligence are constantly working on it, but there is still a long way to go before AGI is truly realized.
In addition, the development of AGI also needs to consider ethical and social issues, such as the distribution of power, security, and the interaction of AI with human society.
While AGI remains a long-term target, the progress we have made so far remains exciting.
The continuous development of artificial intelligence will continue to change our lives and society, bringing us new opportunities and challenges.
In the absence of AGI yet, it remains a concept and the frontier of AI research.
What happens when AI reaches the level of human intelligence? What happens next?
Let's find out.
Stage 6: Artificial Super Intelligence (ASI).
If you found the previous stages intimidating, you haven't seen the real horrors of AI.
AI at this stage is an extremely complex layer, so much so that it is difficult to define what AI is.
And that's not because ASI systems will have far more cognitive abilities than humans.
The concept of ASI refers to the fact that AI can surpass humans in most of the jobs that have economic value.
This not only means that they can do everything that humans can do, but they can also do things better, faster, and more efficiently.
To understand the level of intelligence of an ASI system, imagine a human being turned into an ant, in contrast to ASI being able to solve problems that humans can't, finding solutions to complex global problems like climate change or disease, and it is able to innovate and revolutionize industries.
In other words, the AI system at this stage has replaced humans in various aspects and fields to some extent.
However, it is important to note that ASI is only a theoretical concept, and there are still uncertainties in the actual development of such a system.
At the same time, there are concerns about the control, safety, and ethics of ASIs, as their enormous capabilities and potential impact raise questions about their impact on humans.
ASI will be created in ways we can't imagine, and it can offer little known mysteries about the universe.
However, the risk of unintended consequences is just as significant.
This raises fundamental questions about power, control, and the nature of intelligence and consciousness.
The prospect of ASI has taken us into uncharted territory where humans can't ** the way ASI behaves and makes decisions.
It has also raised concerns about the role and status of humans.
If ASI had more than human cognitive abilities, how would humans get along with it?
And how do we ensure that our values and interests are protected in the development of ASI?
Entering the realm of ASI, we must think about the relationship between humans and AI and how to interact with each other, and how to balance the need for technological progress and human values.
It is only through wise guidance and broad discussion that we can move in a direction that consciously shapes and controls the future of AI.
Here we come across the final stage of the journey, the seventh stage, the AI singularity.
The AI singularity, often referred to simply as the singularity, is a hypothetical future point in time that will lead to uncontrollable and irreversible changes to human civilization when technological growth becomes uncontrollable and irreversible.
When the singularity occurs, the capabilities of artificial intelligence will exceed the ability of humans to understand and control.
It will have superintelligence and superpowers, capable of self-evolution and improvement, rapidly advancing technology and society.
At this stage, human civilization is bound to face tremendous changes and challenges.
Or raw? Or die?
At this time, humans may need to redefine their roles and the meaning of their existence in order to adapt to coexisting with superintelligence.
Then someone may have to jump out and say that the first few stages of AI are limited to dead rules, like the three laws of robots.
Those who think this way may have some deviations in their understanding of self-evolution and uncontrollability.
In fact, from the moment this new creature was born, humans lost ownership of it.
It's impossible to control each other through physical rules.
For example, human beings do not have the ability to go to heaven and earth, but that does not prevent us from being able to go to heaven and earth now.
Not to mention creatures with higher intelligence?
Although the AI singularity is still a hypothesis for now, many scientists and thinkers believe that it may happen in the coming decades.
This makes it crucial to study the impact and potential consequences of the singularity, which is mainly related to the emergence of artificial superintelligence (ASI).
The term singularity was popularized in this context by futurist Ray Kurzweil, and it derives from the concept of singularity in physics, similar to the point at the center of a black hole, where rules seem to collapse.
In the context of AI, the singularity represents a point that breaks the rules as we know it.
Singularities are often associated with some drama, such as the end of humanity and the ability to upload human consciousness into a computer.
However, these ** are not deterministic and are based on speculation about the changes that may occur when the singularity occurs.
While the concept of the singularity has attracted a lot of attention and discussion in the field of science fiction and futurology, it is not yet possible to determine whether the singularity will occur and what the consequences will be.
There are different opinions and assumptions about the future impact of the singularity, which require further research and discussion.
Some experts consider the singularity to be a real possibility, while others dismiss it as science fiction**.
We can't imagine what a real ASI would look like.
So, regardless of one person's stance on the possibility of singularity, through the journey of these seven AI stages, we are able to better understand the enormous potential of this technology and the challenges and ethical issues it presents.
As we look to the future, one thing is certain, the role of AI in our world will only continue to grow irreversibly until the moment when human society is disrupted.