Summarize the following passage about the history of artificial intelligence:

The concept of artificial beings can be traced back to ancient times, with myths and legends depicting mechanical men and self-operating machines. However, the field of artificial intelligence (AI) truly emerged in the 20th century, following advancements in computer science and neuroscience. In 1950, Alan Turing proposed his famous 'Turing Test' to determine if a machine could exhibit intelligent behavior indistinguishable from a human. A few years later, the Dartmouth Summer Research Project on Artificial Intelligence, organized by John McCarthy, is considered the seminal event that kick-started the field. Early work focused on solving simple problems like playing games and proving mathematical theorems. Researchers explored techniques like knowledge-based systems, neural networks, and logical reasoning. Despite initial optimism, AI soon hit roadblocks, including the lack of computing power and the challenges posed by ambiguity, uncertainty, and commonsense reasoning. This period, known as the 'AI Winter,' saw a significant decline in funding and interest. However, the field experienced a resurgence in the late 20th century, driven by advances in hardware, algorithms, and data availability. Machine learning techniques, particularly deep learning, led to breakthroughs in areas like computer vision, natural language processing, and decision-making. Today, AI has permeated various domains, from healthcare and finance to transportation and entertainment, driving innovation and raising ethical concerns about its impact on society.
Summarize the following passage about the history of artificial intelligence:

The concept of artificial beings can be traced back to ancient times, with myths and legends depicting mechanical men and self-operating machines. However, the field of artificial intelligence (AI) truly emerged in the 20th century, following advancements in computer science and neuroscience. In 1950, Alan Turing proposed his famous 'Turing Test' to determine if a machine could exhibit intelligent behavior indistinguishable from a human. A few years later, the Dartmouth Summer Research Project on Artificial Intelligence, organized by John McCarthy, is considered the seminal event that kick-started the field. Early work focused on solving simple problems like playing games and proving mathematical theorems. Researchers explored techniques like knowledge-based systems, neural networks, and logical reasoning. Despite initial optimism, AI soon hit roadblocks, including the lack of computing power and the challenges posed by ambiguity, uncertainty, and commonsense reasoning. This period, known as the 'AI Winter,' saw a significant decline in funding and interest. However, the field experienced a resurgence in the late 20th century, driven by advances in hardware, algorithms, and data availability. Machine learning techniques, particularly deep learning, led to breakthroughs in areas like computer vision, natural language processing, and decision-making. Today, AI has permeated various domains, from healthcare and finance to transportation and entertainment, driving innovation and raising ethical concerns about its impact on society.
user
The passage traces the history of artificial intelligence, starting from ancient myths about mechanical beings to the emergence of the field in the 20th century. It discusses key milestones such as the Turing Test, the Dartmouth Summer Research Project, and early work on problem-solving, knowledge-based systems, and neural networks. The passage also mentions the 'AI Winter' period of stagnation and the subsequent resurgence driven by advances in machine learning, particularly deep learning. It highlights the current widespread application of AI across various domains and the ethical concerns surrounding its impact.
assistant
Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: Summarize the following story in a few sentences.

Once upon a time, in a desert far away, there was a rose who was so proud of her beautiful looks. Her only complaint was growing next to an ugly cactus.
Every day, the beautiful rose would insult and mock the cactus on his looks, all while the cactus remained quiet. All the other plants nearby tried to make the rose see sense, but she was too swayed by her own looks.
One scorching summer, the desert became dry, and there was no water left for the plants. The rose quickly began to wilt. Her beautiful petals dried up, losing their lush color.
Looking to the cactus, she saw a sparrow dip his beak into the cactus to drink some water. Though ashamed, the rose asked the cactus if she could have some water. The kind cactus readily agreed, helping them both through the tough summer, as friends.
Response: A proud rose in a desert mocks a humble cactus for his looks, despite the admonishments of nearby plants. During the hot summer, the rose begins to wilt and, embarrassed and thirsty, asks the cactus for some water. The benevolent cactus obliges and helps the rose throughout the summer.

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
