Summarize the key points from the following passage on the evolution of computer programming languages:

Computer programming languages have come a long way since the early days of computing. The first programming languages, such as machine code and assembly language, were highly low-level and required programmers to have an intimate understanding of the underlying hardware. As computing technology advanced, higher-level programming languages began to emerge, which abstracted away many of the hardware-specific details and allowed for more efficient and expressive coding. Some of the earliest high-level languages, such as FORTRAN and COBOL, were designed for specific domains like scientific computing and business data processing. The 1960s and 1970s saw the development of more general-purpose languages like ALGOL, BASIC, and Pascal, which were widely used in academia and early personal computing. The 1980s and 1990s brought about the rise of object-oriented programming languages, such as C++ and Java, which introduced new paradigms for structuring code and managing data. More recently, languages like Python, Ruby, and JavaScript have become popular for their simplicity, versatility, and suitability for web development and scripting tasks. As technology continues to evolve, new programming languages and paradigms emerge to address the changing needs of software development, such as functional programming, domain-specific languages, and languages designed for emerging fields like machine learning and data science.
Summarize the key points from the following passage on the evolution of computer programming languages:

Computer programming languages have come a long way since the early days of computing. The first programming languages, such as machine code and assembly language, were highly low-level and required programmers to have an intimate understanding of the underlying hardware. As computing technology advanced, higher-level programming languages began to emerge, which abstracted away many of the hardware-specific details and allowed for more efficient and expressive coding. Some of the earliest high-level languages, such as FORTRAN and COBOL, were designed for specific domains like scientific computing and business data processing. The 1960s and 1970s saw the development of more general-purpose languages like ALGOL, BASIC, and Pascal, which were widely used in academia and early personal computing. The 1980s and 1990s brought about the rise of object-oriented programming languages, such as C++ and Java, which introduced new paradigms for structuring code and managing data. More recently, languages like Python, Ruby, and JavaScript have become popular for their simplicity, versatility, and suitability for web development and scripting tasks. As technology continues to evolve, new programming languages and paradigms emerge to address the changing needs of software development, such as functional programming, domain-specific languages, and languages designed for emerging fields like machine learning and data science.
user
The key points on the evolution of computer programming languages are: 1) The earliest programming languages like machine code and assembly were low-level and required deep hardware knowledge. 2) Higher-level languages later emerged, abstracting away hardware details and allowing for more efficient and expressive coding. 3) Early high-level languages like FORTRAN and COBOL were domain-specific for scientific computing and business data processing. 4) General-purpose languages like ALGOL, BASIC, and Pascal were developed in the 1960s and 1970s. 5) Object-oriented languages like C++ and Java rose in the 1980s and 1990s, introducing new paradigms for code structure and data management. 6) Recent languages like Python, Ruby, and JavaScript became popular for their simplicity, versatility, and suitability for web development and scripting. 7) New languages and paradigms continue to emerge to address evolving needs in software development, such as functional programming, domain-specific languages, and languages for machine learning and data science.
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 negative points from this article.

This is the article: When "Glee" first premiered in 2009, it was groundbreaking for its largely teenage demographic. Due to the frequent LGBTQ+ storylines the show tackled and the heavy musical content, the show quickly became a haven for theater nerds and outcasts around the world. Throughout its six seasons on the air, "Glee" taught an entire generation to follow their dreams in the face of judgment and cruelty. The series helped set the tone for normalizing more diverse storylines regarding gender and sexual orientation. Unfortunately, many of the show's plotlines are also tinged with racism, homophobia, and ableism, all while frequently taking feminism back 15 steps in any given episode.

The school setting of "Glee" provided a great opportunity to address these problems as the show continued, but it repeatedly failed to do so over the course of its initial TV run. The teachers are often worse than the students, and any character development that the McKinley High School crew manage is almost immediately retconned, leading to a repetitive slate of character arcs and a lot of unaddressed problematic content. Here are some of the big issues we should probably stop ignoring about "Glee."
Response: Glee frequently had plotlines that attempted to address societal issues, but ultimately failed. This meant the show ended up having elements of racism, homophobia, ableism, and sexism. In the show, the teachers set a worse example than the students, and character development was wiped away quickly which left the show with repetitive characters and unaddressed problems.

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.
