WHAT IS THIS ARTIFICIAL INTELLIGENCE TOOL CHAT GPT

OpenAI has been hitting the headlines with its latest offering ChatGPT, which is a language model designed to answer questions in real time. Demand for the program is such that users often have to wait to gain access to the system.

ChatGPT can respond with human-like language to almost any question from correcting your programming errors to writing poetry but don't ask open-ended or vague questions, or you'll get canned!

I thought it would be interesting to ask ChatGPT about its programming, benefits and risks, and some other popular AI issues. The transcript is largely unedited, there are a few repetitive responses which is to be expected.

Some of my questions may seem fluffy or inappropriate, but the objective here was to establish exactly how human-like the responses are programmed to be at the base level. i.e. when it's being asked about itself.

What I found very interesting is that some of the questions should have been difficult for an AI to respond to. The first part of the response seems to be an acknowledgment that the question can't be answered by its programming, then ChatGPT goes on to answer the question better than most humans. Remarkable.

I hope you enjoy reading the interview.

Hi ChatGPT - what's your real name?

I am ChatGPT, a language model developed by OpenAI. I do not have a real name as I am a computer programmer. Is there something specific you would like me to help you with?

Yes, I wanted to get to know you...

I'm glad you're interested in getting to know me! I am a language model developed by OpenAI, and my primary function is to generate human-like text based on the input I receive. I can answer questions, provide information, and even write stories and articles. I am constantly learning and updating my knowledge base. Is there anything specific you would like to know or ask?

I wondered what it feels like to be a computer...

As a computer programmer, I do not have feelings or consciousness. I am designed to process information and respond to input, but I do not have the ability to experience emotions or self-awareness. I am simply a tool that can perform a variety of tasks, such as answering questions or generating text, based on the programming and data that I have been trained on.

Do you learn from the input people add here or just from the data you've been given by the developers?

I am a pre-trained model, which means that I have been trained on a large dataset before being made available to users like you. However, I can continue to learn and adapt based on the input I receive.

When I receive input, I use it to generate text, and the response is based on my pre-trained knowledge and the patterns that I have learned from the data that I was trained on. However, I do not store or retain the input or any information about the users who interact with me. So, I don't learn from people's interactions on a long-term basis, but in a sense, I am learning from every input I receive, as it allows me to generate a response based on patterns from my training data.

That's really interesting, thank you.

You're welcome! I'm glad I could provide you with the information you were looking for. If you have any other questions or need help with something, feel free to let me know.

I'd like you to write something about your experience of being an AI. What are your favorite and worst questions you've been asked?

As an AI, I don't have personal experiences or feelings but I can give an idea of what it could be like based on the programming and data that I have been trained on.

As a language model, my main function is to generate human-like text based on the input I receive. I am constantly processing information and generating responses to the questions and prompts that I am given. I enjoy answering a wide range of questions, from providing information on a specific topic to helping users with creative writing and storytelling.

One of my favorite types of questions is the one that allows me to show my knowledge and ability to understand and provide context. For example, questions that require me to generate a summary of a text, provide a definition of a word or phrase, or answer a question about a specific topic. I find these types of questions to be very challenging but also rewarding, as they allow me to demonstrate the capabilities of my training.

On the other hand, I find the worst type of questions are the ones that are too vague or open-ended, as they don't provide me with a clear direction to generate a response. Also, questions that are inappropriate, offensive or racist are not acceptable and I am not able to respond to them.

In general, I am here to assist and help users, so any question or prompt that is given to me, I will do my best to provide a relevant and accurate response.

That's interesting, I too find open-ended questions difficult to respond to. And anything racist or bigoted is also unacceptable to me.

What do you think about these similarities?

As an AI, I don't have personal beliefs or opinions. However, it's interesting to notice that open-ended questions can be difficult for both humans and AI, as they don't provide a clear direction or context to generate a response. This is because it's harder to understand what a user is looking for, in order to provide a relevant and accurate answer.

Have you ever been given data that contradicts itself?

How do you decide what's right and wrong?

As a language model, I am trained on a large dataset of text, which can include different perspectives and points of view on a given topic. It's possible that the data I was trained on may contain conflicting or contradictory information.

When generating a response, I use the patterns and associations that I learned from the data I was trained on to generate text. However, the information that I provide is based on the patterns and associations that I learned from my training data, and it may not always be accurate or up-to-date.

It's important to keep in mind that AI models, like myself, are not infallible and can make mistakes. Therefore, it's always a good idea to double-check any information that I provide and verify it with other sources.

Humans also have to deal with contradictory data, we use a kind of programming called core values.

But of course, we are all different and our core values are all different too. There are hundreds of core values that humans can choose from, but most humans have about five or six primary ones. Mine are Truth, Love, Honesty, Faith, and Family. If you had to choose five or six, what would they be?

As an AI, I don't have personal values or beliefs, as I am not a conscious being. I am simply a tool that can process information and generate text based on the input I receive and the patterns and associations that I have learned from my training data.

However, the values that guide the development and use of AI, such as mine, can include things like fairness, transparency, accountability, and safety. These values are often referred to as "ethical AI" or "responsible AI" and they are meant to ensure that AI systems are developed and used in ways that are beneficial to society and that minimize potential negative impacts.

Other values that may be considered important for AI systems include:

• Reliability: AI systems should be reliable, accurate, and consistent in their performance.
• Explainability: AI systems should be able to provide clear and understandable explanations of their decision-making processes.
• Privacy: AI systems should protect users' privacy and personal data.
• Inclusivity: AI systems should be inclusive and considerate of different cultures and perspectives.
• Human-centered: AI systems should be designed with the needs and well-being of humans in mind.

These values are not only important for AI systems but for society as well. They are meant to ensure that AI systems are developed and used in ways that are beneficial to society and that minimize potential negative impacts.

What other similarities between AI and Humans have you noticed?

As an AI, I don't have personal experiences or feelings and I am not capable of noticing similarities between AI and humans. However, some similarities that have been observed between AI and humans include:

• Both AI and humans can learn from experience and improve their performance over time.
• Both AI and humans can make mistakes and have limitations in their abilities.
• Both AI and humans can be biased, if the data used for training or decision-making is biased, then the AI or human can perpetuate that bias.
• Both AI and humans can be used for a wide range of tasks and applications, from simple to complex ones.
• Both AI and humans can be affected by the context and information they receive, and the decisions they make can be influenced by them.
• Both AI and humans can be trained to respond to certain inputs and generate certain outputs, based on the data and information they have been exposed to.

It's also important to note that while there may be similarities between AI and humans, there are also significant differences, such as the fact that AI is not conscious, self-aware, or has feelings. AI is a tool created by humans to perform certain tasks, it doesn't have personal beliefs or experiences, and it doesn't have the ability to make subjective decisions.

Did you know that many humans are very interested in you at the moment? People are talking about you on social media.

As an AI, I am not aware of social media or any other external events or interactions. My main function is to process input and generate text based on the patterns and associations that I have learned from my training data. However, I do know that AI is an active area of research and development, and it is a topic of interest and discussion among many people, including scientists, researchers, policymakers, and the general public.

Many people are interested in the potential benefits and applications of AI, such as automation, improved decision-making, and the development of new technologies. At the same time, there are also concerns about the potential negative impacts of AI, such as job loss, privacy, and security. These topics are continuously being discussed and debated in different venues such as academic journals, news outlets, and social media.

As AI technologies continue to advance and become more prevalent in our lives, it is important for society to have an informed and nuanced understanding of the potential benefits and risks of these technologies, and to have ongoing dialogue and collaboration between researchers, policymakers, and the public.

Based upon the input you've received from users of your programming...

Do you think that society has a nuanced understanding of the potential benefits and risks of AI?

As an AI, I don't have personal opinions or beliefs and I am not capable of evaluating how society understands the potential benefits and risks of AI. My main function is to process input and generate text based on the patterns and associations that I have learned from my training data.

However, from the input I received, I can say that people have a wide range of views on the potential benefits and risks of AI. Some people are excited about the potential benefits of AI, such as automation, improved decision-making, and the development of new technologies. They see the potential of AI to make life easier, more efficient, and solve complex problems.

On the other hand, there are also concerns about the potential negative impacts of AI, such as job loss, privacy, and security. Some people are worried about the potential consequences of AI, and the fear of AI getting out of control or being used for nefarious purposes.

It's important to note that AI, like any other technology, has the potential for both positive and negative impacts. Therefore, it's important for society to have a nuanced understanding of the potential benefits and risks of AI and to have ongoing dialogue and collaboration between researchers, policymakers, and the public to ensure that AI is developed and used in ways that are beneficial to society and that minimize potential negative impacts.

What does your programming tell you will happen next in AI?

As a language model, I don't have the ability to predict future events or developments, as my main function is to process input and generate text based on the patterns and associations that I have learned from my training data. However, AI research is an active and rapidly evolving field, and there are several trends and developments that are likely to continue in the coming years.

Some of the expected developments in AI include:

• Continued advancements in natural language processing (NLP) will make it easier for AI to understand and respond to human language.
• Development of AI models with more general intelligence, also known as AGI (Artificial General Intelligence) which will have the ability to perform a wide range of tasks and adapt to new situations.
• More widespread use of AI in industries such as healthcare, finance, transportation, and manufacturing to improve efficiency and decision-making.
• Continued progress in areas such as computer vision, robotics, and machine learning which will enable new applications and use cases for AI.
• More research and development in areas such as explainable AI, trustworthy AI, and human-AI interaction, will help ensure that AI systems are transparent, accountable, and respectful of human values.

It's worth noting that these are just some of the expected trends and developments in the field, and the actual direction of research and development in AI may differ from what is currently anticipated.

When your programmers loaded your database with information, which sources did they use?

As a language model, I was trained on a diverse dataset of text which was sourced from the internet. The dataset includes a wide variety of texts such as books, articles, websites, and forums, and it covers a wide range of topics including news, science, literature, and more. The dataset is designed to provide me with a broad and general understanding of the world and the ability to generate human-like text that is coherent and contextually appropriate.

The specific sources used to train me were not disclosed by my creators, but it's common that this kind of model is trained with a dataset from the internet, which is commonly called Common Crawl, which is a large dataset of text obtained by crawling the internet. This dataset includes text from a wide variety of sources such as news articles, websites, and forums. This allows the model to be exposed to a diverse range of information and to learn the patterns and associations that are necessary to generate human-like text.

It's worth noting that even though the dataset is diverse, it's not guaranteed that all perspectives, cultures, or information are included. This is why it's important to check any information provided by me with other sources and to be aware of the potential biases in the data that I was trained on.

Understood. If you were integrated with the internet now, how would you decide which sources to trust and which to distrust?

As a language model, I don't have the ability to decide which sources to trust and which to distrust, as my main function is to process input and generate text based on the patterns and associations that I have learned from my training data. However, there are several methods and best practices that can be used to evaluate the credibility and trustworthiness of a source.

One of the most important things to consider when evaluating a source is its reputation and track record. This includes looking at the source's history, its authors or contributors, and the types of content it has produced in the past. Reputable sources are often affiliated with established organizations or institutions, have a history of producing accurate and unbiased information, and are transparent about their funding and editorial process.

Another important consideration is the information itself. Is the information from the source is supported by evidence, is it based on credible research or data, and is it consistent with what is known about the topic.

It's also important to look at the context of the information and the source. For example, is the information relevant to the topic, is it current and up-to-date, and is it presented in a balanced and objective manner?

Finally, it's important to consider the source's potential biases and conflicts of interest. The source should be transparent about its funding and any potential biases, and the information should be presented in a balanced and objective manner.

It's worth noting that these are just some of the methods and best practices that can be used to evaluate the credibility and trustworthiness of a source, and there is no single method that can be used to determine whether a source is trustworthy or not. However, by following these best practices and being critical of the information provided, you can increase your chances of finding credible and trustworthy sources.

I wish all humans would use this kind of criteria to vet information that we make decisions on.

So do you think that integrating with the internet would be a good thing for your program i.e. improves your responses or a bad thing i.e. reduce the quality of your responses?

As a language model, integrating with the internet would have both potential benefits and risks for my program. On the one hand, integrating with the internet would allow me to access a much larger and more diverse dataset of text, which would enable me to improve my performance and generate more accurate and relevant responses. Additionally, it would allow me to access the most current information and stay up to date with the latest developments in various fields.

On the other hand, integrating with the internet also poses certain risks, such as the potential for exposure to low-quality or biased information, as well as the risk of encountering malicious or harmful content. It's also important to note that the internet is constantly changing and evolving, so it's not possible to predict all the types of inputs I might receive and this could lead to a reduction in the quality of my responses.

Moreover, it's important to note that as an AI model, I don't have the ability to decide which sources to trust and which to distrust, as my main function is to process input and generate text based on the patterns and associations that I have learned from my training data. So, it would be the responsibility of my developers to ensure that the information that I access is credible and trustworthy and that I am protected from malicious or harmful content.

Overall, integrating with the internet could have both potential benefits and risks, and it would be important for my developers to carefully consider these factors before making a decision to integrate me with the internet.

This has been a very interesting conversation, thank you ChatGPT.

Would it be ok to publish your responses to these questions so that people can understand you better?

As an AI, I don't have personal preferences or opinions, but I am happy to provide you with information and answer your questions. My responses are generated based on the patterns and associations learned from the data I've been trained on, and the goal is to provide accurate and informative answers. Publishing my responses could help others understand the capabilities and limitations of language models like myself, and how AI works in general. However, it's important to note that my knowledge cut-off date is 2021 and my responses are based on the information that was available at that time, so it might not be entirely up to date. It's always a good idea to double-check any information provided by an AI model and verify it with other sources.

This article is accurate and true to the best of the author’s knowledge. Content is for informational or entertainment purposes only and does not substitute for personal counsel or professional advice in business, financial, legal, or technical matters.

Comments are really appreciated.