AI Revolution The Change. The creation of computer systems that … – Medium

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The creation of computer systems that are capable of carrying out activities that normally require human intelligence is known as artificial intelligence, or AI. These include problem-solving, identifying patterns, interpreting natural language, learning from experience (or data), and making decisions.

This is the first rule of the AI stages. It can follow rules, but it is unable to modify them or comprehend their significance. Its important to note that rule-based systems are typically more straightforward and interpretable but may lack adaptability in complex or dynamic environments compared to more advanced AI approaches.

Example:

Consider engaging in a computer-based chess match. Every chess move in history is stored in a computer database. It can choose the most effective chess move. It cannot, however, create new chess moves or understand the reasoning behind them.

2. Context-Aware Systems

Context-aware systems can significantly improve user engagement and satisfaction by delivering relevant information and services in real-time, enhancing the overall usability of the application or system.

Example:

Lets proceed with the chess example a step further. Suppose the computer is so intelligent that it can recall moves from past games. How did its opponent play, and how many mistakes did it make in those games? or which move, or combination of moves, forced the other player to reflect most. This entails applying the prior knowledge to future developments.

3. Domain-Specific Mastery

Domain-specific mastery in AI refers to the ability of an artificial intelligence system to demonstrate expertise and proficiency in a particular field or domain. Instead of being a general-purpose AI that can perform a wide range of tasks, a domain-specific AI is specialized in a specific area, industry, or knowledge domain.

Example:

Knowledge and information are not the same thing. The application of information is knowledge. Waston, an AI, was created by IBM about ten years ago. Watsons sole goal is to defeat the reality TV series Jeopardy. The top jeopardy players in the world were vanquished by this machine. Emotional humans were celebrating an emotionless machine when that machine defeated a human

4. Thinking and Reasoning AI

Thinking and reasoning in AI involve the ability of a system to process information, draw conclusions, and make decisions based on logic and inference. These capabilities are crucial for problem-solving, decision-making, and simulating human-like cognitive processes.

Example:

Imagine what may happen if an AI reads a book and can relate to the characters feelings. what drives them and whether they are able to figure out the logic of what they are doing. It is skilled at interpreting variations. Thus, conversing with this AI is just as natural as conversing with a human. Todays AI has crossed this stage. Google Bards or open AI ChatGPT looks fascinating to us because, after asking them any questions, it doesnt feel like a random Google search, but it feels like someone has put deep thought into the answer. Chatgpt can handle complicated issues only with these four steps, and even without any coding experience

5. Artificial General Intelligence

Artificial General Intelligence (AGI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a broad range of tasks at a level equivalent to, or even surpassing human capabilities.

Lets go on to the next phase of AI, or artificial general intelligence (AGI), wherein any task that a person can perform, so can AI.

Example:

AI will grow so intelligent that it wont need to be taught how to make tea in order to learn how to do it on its own. It is capable of driving on its own and solving problems on its own.

Although most current AI systems are thought to be limited or specialized in their applications, artificial general intelligence (AGI) has not yet been achieved as of my last knowledge update in January 2022. Scientists and researchers are attempting to improve AI capabilities, but there are several obstacles in their way, such as the need for advances in cognitive science, machine learning, and the study of human intellect.

6. Artificial Super intelligence

A level of artificial intelligence known as artificial superintelligence (ASI) is one that exceeds human intelligence in all fields and activities. It depicts an imaginary future in which machines surpass the sharpest human minds in all domains, including creativity, problem-solving, and interpersonal interactions.

Its crucial to remember that serious ethical, security, and existential issues are brought up by the emergence of artificial superintelligence. The idea has generated discussion and speculation in the domains of philosophy and artificial intelligence. Researchers and academics, like as Elon Musk and Nick Bostrom, have talked about the possible dangers of poorly aligned or uncontrolled superintelligent systems.

if AGI == 0 then ASI > 0

7. AI Singularity

The term AI singularity describes a theoretical moment in the future when artificial intelligence surpasses human intelligence to such an extent that self-improvement becomes rapid and maybe uncontrollable. Its frequently linked to the theory that, if AI develops to a certain point, it may independently expand on its own capacities, resulting in an exponential rise in intellect and possibly profound, unforeseen shifts in society.

Example: Self-improving superintelligent AI

Imagine a highly advanced artificial intelligence system that is designed with the capability of self-improvement. Initially, this AI system is created to perform a specific set of tasks, such as natural language processing, image recognition, and problem-solving.

The AI singularity raises the worry that, once AI reaches a certain level of intelligence, it may quickly transcend human capacity, producing events that are hard for humans to predict or influence. Within the AI research and ethical communities, this hypothetical situation has generated discussion. Some researchers have emphasized that, in order to avoid unexpected effects, it is crucial that advanced AI systems are in line with human values and objectives.

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AI Revolution The Change. The creation of computer systems that ... - Medium