Is AIGC the way to AGI?
Table of contents
1.1. AGI (Artificial General Intelligence)
1.1.2. Characteristics of general artificial intelligence
1.1.3. General artificial intelligence requires mastery of abilities
3. What are the current stuck points in realizing true AGI?
General artificial intelligence (AGI) envisions machines with human cognitive abilities that can learn and reason like us, solve complex problems, and make decisions independently. The emergence of technologies such as ChatGPT and AIGC can be said to be the pinnacle of current artificial intelligence. In a short period of time, a research boom in "artificial intelligence" has been set off. If the computing power is large enough and the data is large enough, true generation can be achieved by relying on generative models. Is it smart?
1. Background knowledge
1.1. AGI (Artificial General Intelligence)
1.1.1. Concept definition
AGI （Artificial General Intelligence）：
AGI is the abbreviation of Artificial General Intelligence. The Chinese translation is "General Artificial Intelligence". General Artificial Intelligence (AGI) refers to an artificial intelligence system that can have a wide range of independent thinking, learning and understanding capabilities like humans, and can adapt to a variety of tasks and environments.
AGI is also known as strong AI. This term refers to AI with a level of intelligence equivalent to that of human beings in any imaginable human professional field. An AGI can perform any intellectual task that humans can complete.
Unlike weak artificial intelligence or artificial narrow intelligence (ANI), weak artificial intelligence is not designed to have general cognitive abilities, but is designed to solve a problem. AGI is one of the ultimate goals of artificial intelligence research. It is the main goal of many artificial intelligence companies such as OpenAI, DeepMind, and Anthropic. It is also a common theme in science fiction and future research.
AGI General Artificial Intelligence Compared with other types of artificial intelligence, such as professional artificial intelligence (API) and weak artificial intelligence (ANI), general artificial intelligence covers a wider range of artificial intelligence application scenarios and has higher autonomy and ubiquity. transformation. At present, general artificial intelligence is still in the research and development stage and has not yet been realized.
OpenAI’s definition of AGI:
In OpenAI’s charter, they define AGI as: highly autonomous systems that outperform humans at most economically valuable work.
Marcus’ definition of AGI:
Marcus defines AGI as: any intelligence (there might be many) that is flexible and general, with resourcefulness and reliability comparable to (or beyond) human intelligence. equal to or greater than humans).
Wiki's definition of AGI:
Wiki definition: Artificial General Intelligence (AGI), also known as "Strong AI" and "Full AI", has general human intelligence and can perform any intelligent task that humans can perform. machine intelligence. General artificial intelligence is a major goal of some artificial intelligence research and a common topic in science fiction and future research centers. Compared with weak AI, general artificial intelligence can attempt to perform a full range of human cognitive abilities.
There are different opinions in the industry on whether and when general artificial intelligence can be realized.
Some scholars believe that the concept of artificial general intelligence is not serious and is basically impossible to realize in practice. Other scholars are very optimistic about the development of artificial general intelligence and believe that it has the potential to shape the trajectory of human development.
1.1.2. Characteristics of general artificial intelligence
There is no universal consensus on the definition and standards of AGI, because different fields and disciplines may have different views on what constitutes human intelligence. Common abilities commonly associated with AGI include:
Must-have characteristics of general artificial intelligence:
▶ Automatic reasoning, using some strategies to solve problems, and making decisions in uncertain environments.
▶ Background knowledge (including common sense knowledge base)
▶ Automatic planning
▶ Transfer learning
▶ Communicate using natural language
1.1.3. General artificial intelligence requires mastery of abilities
To achieve true human-level intelligence, general artificial intelligence needs to master the following capabilities:
General artificial intelligence requires the ability to master:
▶ 1. Perception and perceptual processing:
Including the identification, understanding, interpretation and reasoning of sensory information such as vision, hearing, touch, taste and smell.
▶ 2. Natural language processing:Able to understand and produce language naturally, and be able to perform tasks such as natural language understanding, generation, translation, emotion understanding and reasoning.
▶ 3. Knowledge representation and reasoning:Ability to understand and express a wealth of knowledge and perform complex reasoning and analysis.
▶ 4. Planning and decision-making:Able to formulate a series of appropriate action plans based on the current environment and target conditions, and be able to make decisions based on past experience and knowledge.
▶ 5. Learning and adapting:Ability to continuously learn and adapt to new environments and tasks, and continuously improve and perfect one's own intelligence.
▶ 6. Creation and innovation:Ability to generate new ideas, concepts and knowledge and use them to innovate.
▶ 7. Social and Emotional:Ability to understand and express human emotions, and to interact and cooperate with humans.
1.2、AIGC
AIGC(Artificial Intelligence Generated Content)：
AIGC (Artificial Intelligence Generated Content), as a new content generation method, is gradually becoming one of the main forces in content generation in the future.
AIGC refers to content automatically generated by artificial intelligence algorithms, which usually includes text, pictures, audio, video and other forms. Compared with traditional manual creation methods, AIGC can quickly and accurately generate a large amount of high-quality content, greatly improving the efficiency and effect of content generation.
2. Is AIGC the way to AGI?
AIGC), as a new method of generating content using artificial intelligence technology, provides an opportunity to promote AGI research, but it is not the only route to AGI.
AGI is the abbreviation of Artificial General Intelligence. The Chinese translation is "General Artificial Intelligence". General Artificial Intelligence (AGI) refers to an artificial intelligence system that can have a wide range of independent thinking, learning and understanding capabilities like humans, and can adapt to a variety of tasks and environments.
Implementing AGI requires overcoming many technical difficulties, involving comprehensive work in multiple fields and multiple methods, and requires a lot of exploration and innovation in algorithm research, hardware design, cognitive science, philosophy, etc., such as perception, reasoning, and learning. , creation and other aspects.
AIGC is just one of the attempts. It may achieve certain results in the field of generated content, but there is still a long way to go before realizing AGI. To advance AGI research, continued development and collaboration across the entire field of artificial intelligence is required.
3. What are the current stuck points in realizing true AGI?
Realizing true AGI (artificial general intelligence) requires solving many challenges and problems. Here are some possible sticking points:
▶1. Recognize intentions and emotions:
AGI needs to have human-like consciousness and subjectivity, capable of self-awareness and subjective experience. The ability of humans to accurately identify and understand the intentions and emotions of others when communicating with them is a necessary ability to achieve true AGI. But understanding the intent and emotion in language is a very difficult task for computers. When we use GPT and AIGC, we often find that when communicating with AI, AI misunderstands our intentions and emotions. This is the problem of identifying intentions and emotions that needs to be solved to implement AGI.
▶2. Self-learning and adaptability:
AGI needs to have human-like learning and adaptability capabilities, and can continuously obtain information from the environment, understand and adapt to the environment. Achieving true AGI requires computers to have the ability to learn by themselves, that is, to be able to autonomously learn from experience and improve their own algorithms. At present, the development of machine learning algorithms and artificial neural networks has made great progress, but there is still a long way to go to achieve true self-learning.
▶3. Abstract thinking and reasoning:
Abstract thinking and reasoning are important components of human intelligence, but current computers do not have this ability. Achieving true AGI requires computers to be able to perform high-level abstract thinking and reasoning, and use logical reasoning to solve problems.
▶4. Creativity and imagination:
Creativity and imagination are unique characteristics of human intelligence. To achieve true AGI, computers need to have a certain degree of creativity and imagination, and be able to creatively solve problems in new problems and scenarios.
▶5. Ethics and human values:
AGI needs to be able to understand and respect human values and ethical standards, and be able to abide by moral norms. Achieving true AGI requires taking into account ethics and human values to ensure that it does not cause harm to human society. This requires equipping computers with an understanding and respect for ethics and human values.
▶6. Data Privacy and Security:
Implementing true AGI requires a large amount of data, but this also brings data privacy and security issues. Issues such as how to protect personal data privacy and prevent hacker attacks need to be addressed.
▶7. Natural language processing:
Able to understand and produce language naturally, and be able to perform tasks such as natural language understanding, generation, translation, understanding emotions and reasoning.
▶8. Knowledge representation and reasoning:
AGI needs to be able to master and organize a large amount of knowledge and be able to perform complex reasoning and decision-making.
▶9. Safety and control system:
AGI has strong control and power, and its safety and controllability need to be ensured to avoid threats to humans.
▶10.Numeracy:
How to improve the overall supply capacity of computing resources
▶11. Number:
How to ensure the supply of high-quality data elements required for AGI.
▶12. Arithmetic:
How to build appropriate artificial intelligence algorithms with accuracy, efficiency, scalability, robustness, and interpretability, and systematically build large models and other general artificial intelligence technology systems.
▶13.For use:
How to promote the application of general artificial intelligence technology innovation scenarios.
▶14.Pipe:
It is necessary to create an inclusive and prudent regulatory environment for AGI.
4. Reference materials
https://www.zhihu.com/question/625115987/answer/3244818694
https://zhuanlan.zhihu.com/p/622027410
https://wiki.mbalib.com/wiki/%E9%80%9A%E7%94%A8%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD
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