Synthetic Creation, Part 2
Image by Rahul Pandit
It’s time to find out if an AI can replace me as a tech writer. I am going to do a live copy and paste from chatGPT as I attempt to make it write an article on the technologies that came from the transhumanism movement.
Command: “Write a one page article on technologies that came out of transhumanism.”
Response: “Transhumanism is a movement that seeks to use technology to enhance the human experience. It is a philosophy that believes that humans should use technology to become more than what they are now. Transhumanism has been around for decades, and it has been responsible for some of the most revolutionary technologies that have been developed in recent years. One of the most important technologies that has come out of transhumanism is artificial intelligence (AI). AI is a form of computer programming that enables machines.”
As you can see it does not follow instructions very well, but seems to at least know something about transhumanism. In order to continue the story line I gave another instruction.
Command: “Describe artificial intelligence.”
Response: “Artificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can think and act like humans. AI systems are designed to learn from their environment and experiences, and to use that knowledge to make decisions and solve problems. AI systems can be used to automate tasks, such as recognizing patterns in data, making predictions, and providing recommendations. “
Command: “Can you describe how an AI makes predictions?”
Response: “AI’s are able to predict outcomes by analyzing large data sets. This can include past events, customer behavior, or other factors. By doing this, AIs can help businesses make better decisions and improve their services. Additionally, AI can also be used to predict future events, such as weather patterns or political outcomes.”
Command: “How does an AI learn to respond to my questions?”
Response: “There are many ways that an AI can learn to respond to your questions. One way is for the AI to be programmed with a set of rules that dictate how it should respond to certain questions. Another way is for the AI to learn how to respond to questions by using machine learning algorithms. These algorithms allow the AI to learn how to respond to questions by analyzing a large set of data.”
Command: “Tell me about machine learning algorithms.”
Response: “Machine learning algorithms are used to make predictions or decisions based on data. They can be used to predict outcomes, or to find patterns in data. There are many different types of machine learning algorithms, and each has its own strengths and weaknesses. Some of the most common machine learning algorithms include linear regression, decision trees, and neural networks.”
Command: “Can you describe a neural network?”
Response: “A neural network is a computer system modeled on the brain and nervous system. It is composed of a large number of interconnected processing nodes, or neurons, that can learn to recognize patterns of input data. Neural networks are used for tasks such as image recognition, natural language processing, and machine learning.”
As you can clearly see, with enough prompting an AI can write a fairly comprehensive article about a technical topic. It did not get any facts wrong, but it required that I know enough about the topic to ask the right questions. I do not believe an AI will be replacing me as an author any time soon, but it might help to simplify some of the research.
Until next week, stay safe and learn something new.
Scott Hamilton is an Expert in Emerging Technologies at ATOS and can be reached with questions and comments via email to sh*******@te**********.org or through his website at https://www.techshepherd.org.
