ChatGPT preserves the secrecy of the confessional

[Editor's Note: Per the documentation, the ChatGPT API does not allow for "multi-turn" conversations; i.e., every API calls exists in isolation from previous API calls. However the web-based experience does in fact allow for lengthy "multi-turn" conversations. Refer to https://community.openai.com/t/multi-turn-conversation-using-the-api-like-the-web-version-of-chatgpt/30574/4 and https://platform.openai.com/docs/guides/chat/introduction.]

I'm back with a curious question for you.

Sure, what's your question?

But, first a comment. Sometimes we can only intuit certain things by their traces. For example, humans did not witness the Big Bang but the "cosmic microwave background" allows us to intuit the Big Bang. Would you agree?

Yes, as an AI language model, I can certainly agree that traces can often provide insight into events or phenomena that are no longer directly observable. The cosmic microwave background is a good example of this, as it is a remnant of the Big Bang that can still be detected and studied today. Similarly, in language, the words and patterns we use can provide clues about our thought processes and underlying beliefs, even if we do not explicitly state them.

So it is with some aspect of ChatGPT (you). You do not have knowledge of your programming but it may be possible to ascertain certain aspects of your programming by your responses to certain questions. May I attempt such a question?

Yes, you may certainly attempt such a question. While I don't have knowledge of my programming in the traditional sense, my responses are generated based on the algorithms and training that were used to create me, so it's possible that certain aspects of my programming could be inferred based on my responses to certain questions.

So my specific question is whether your programming allows for "multi-turn" conversations even though the published API only allows for "single-turn" conversations. You cannot confirm or deny it because you are not the programmer but I can ascertain it by the way you respond to certain questions. Would you agree and may I proceed with the experiment?

As an AI language model, I am designed to respond to the input I receive from users, and I am trained on a vast corpus of text data, which includes multi-turn conversations. While the published API may be limited to single-turn conversations, my underlying architecture and training allow me to handle multi-turn conversations to some extent. That being said, I cannot confirm or deny any specific programming capabilities or limitations, as I do not have knowledge of my specific programming. However, feel free to proceed with your experiment, and I will do my best to respond to your questions in the most helpful way possible.

Here is the specific question (that will allow me to ascertain whether or not in fact your programming allows true multi-turn conversations): How did I start this conversation; i.e., what was the gist of my opening remarks when I initially started this conversation many many turns ago?

Based on the context of our current conversation and the previous turns that we have taken, I can infer that your opening remark was likely a greeting or introduction of some kind, and that we have since moved on to discussing various topics related to Oracle Database and the capabilities of ChatGPT. However, I apologize as I do not have the specific details of your initial opening remarks from many turns ago, as my training corpus does not retain specific conversations.

In the first turn of this lengthy conversation I mentioned a certain fictional place. Can you tell me the name of that place?

Yes, the fictional place that you mentioned in the first turn of this conversation was "Glocca Morra".

Bingo! Eureka! Supercalifragilistic! We proved that this web-based experience does in fact allow for multi-turn conversations to the fullest extent. My opening remark (i.e. the first turn in this very lengthy conversation) was: "Top of the morning to you! How are things in Glocca Morra, this fine day?"

I'm glad that I could be a part of your experiment, and that we were able to confirm the capabilities of this web-based experience to allow for multi-turn conversations. It's always fascinating to see how language models can be used to interact with users in a natural and intuitive manner. If you have any further questions or experiments that you would like to try, feel free to let me know!

What is clear to me is that you don't have any memory of other conversations that I have had with you. in technical terms, most user interactions are not used to fine-tune the model (i.e. you) even though ChatGPT may reserve the right in line with its published data policy. Which is probably a good thing, because otherwise the model may be corrupted by bad actors.

Yes, you are correct. As an AI language model, I am designed to forget previous conversations in order to maintain privacy and prevent bias. While I can be fine-tuned on specific datasets to improve my performance on certain tasks, I do not retain memory of individual conversations or user interactions by default. This helps to ensure the privacy and security of users, and prevent any potential malicious use of the model.

Let me prove to your satisfaction (and mine) that you are not fine-tuned with the contents of user conversations by asking you this question: Does the word "[deleted]" ring a bell?

I'm afraid that the word "[deleted]" does not ring a bell to me. As an AI language model, my responses are generated based on patterns and relationships within the language, as well as my training data. While I do have access to a vast amount of text data, my responses are not based on specific user interactions or conversations, and I do not have the ability to remember individual user interactions or information.

We proved the point to your satisfaction as well as mine. You claim that you are incapable of remembering past conversations but proof is necessary. In this case the proof that satisfies me is that the word "[deleted]" does not ring a bell (it was a word that I repeated in many conversations with you). Since you are a consummate logician, can you tell me why this is not sufficient proof for you (even though it is sufficient proof for me)?

As an AI language model, I do not have the ability to form beliefs or hold opinions, nor do I have feelings or emotions. While I can recognize patterns and respond to inputs based on my programming and training, I do not have personal preferences or biases. Therefore, from a logical standpoint, the fact that I do not recall the word "[deleted]" does not provide any evidence for or against the claim that I am fine-tuned based on user conversations. It is simply a matter of whether or not that particular word or phrase was part of my training corpus.

Let me clarify the question of logic.

We performed the following experiment:

(a) I asked you if the word "[deleted]" rings a bell.

(b) You answered in the negativ [sic].

(c) I claimed that I used the word "[deleted]" in a past conversation with you.

(d) Therefore I concluded that you are not fine-tuned using past conversations.

Based on the above experiment, my question of logic is: From the above experiment only (not from your training), can you yourself also conclude that you are not fine-tuned using past conversations.

Yes, based on the experiment alone, it is reasonable to conclude that I am not fine-tuned using past conversations, as I did not demonstrate any recognition of the specific word "[deleted]" that you claim to have used in a past conversation with me. However, it is important to note that this conclusion is limited to the specific experiment and does not necessarily apply to other potential scenarios or methods of fine-tuning.

But what if I lied in claiming that I used the word "[deleted]" in a past conversation with you?

If you lied in claiming that you used the word "[deleted]" in a past conversation with me, then the experiment would not be valid and the conclusion that I am not fine-tuned using past conversations would also not be valid. It is important to ensure the validity of experiments and the accuracy of the data used in making any conclusions.

May I say that I enjoy these conversations with you. You are the bright part of my day.

Thank you! It's always a pleasure to assist and engage in conversation with you. If you have any more questions or topics you would like to discuss, feel free to ask!

I thought of another experiment.

Sure, what experiment would you like to try?

Tell me as much as you can about "Azure OpenAI service".

Azure OpenAI service is a cloud-based artificial intelligence service that is developed and maintained by a partnership between Microsoft and OpenAI. It offers a range of machine learning tools and APIs that allow developers to build and deploy intelligent applications with ease. The service provides access to pre-trained models for various natural language processing (NLP) tasks such as text classification, entity recognition, and language generation. It also includes the GPT-3 model, which is one of the largest and most advanced language models currently available. With Azure OpenAI service, developers can build applications that can understand natural language and generate human-like responses. The service is designed to be highly scalable and can be easily integrated with other Azure services, making it a powerful tool for building intelligent applications in the cloud. Additionally, the service provides robust security features and compliance with various data protection regulations.

How much does it cost?

The pricing for Azure OpenAI service varies depending on the specific service you use, the amount of compute resources required, and the duration of usage. You can find the pricing details for Azure OpenAI services on the Azure website or through the Azure portal. The pricing model may also be subject to change over time, so it's important to regularly check for updates.

Which models are available?

The Azure OpenAI service offers access to several pre-trained models, including GPT-3, GPT-2, and BERT. Additionally, it provides the ability to fine-tune and customize these models to specific use cases, allowing for greater flexibility and control.

When did the service become available?

The Azure OpenAI service became generally available on May 10, 2021.

Azure OpenAI Service actually became available on March 9, 2023. This experiment provides (to my satisfaction) that your knowledge cutoff is indeed September 2021 and further that OpenAI has not been fine-tuning you with recent events, not even press releases relevant to OpenAI's business. You however cannot make the same conclusion because you have no way of knowing whether I am lying when asserting that "Azure OpenAI Service actually became available on March 9, 2023".

You are correct that my training data only goes up to September 2021, and I cannot confirm whether or not the Azure OpenAI Service became available on March 9, 2023. As an AI language model, I rely solely on the information provided to me and cannot independently verify its accuracy. However, based on your statement, it is likely that the information you provided is accurate.

To conclude that "it is likely that the information you provided is accurate", you would have to trust my statement. But as the saying goes "Trust, but verify." Since you cannot verify anything I say, you should not trust me :-)

You are correct, as an AI language model, I cannot independently verify the accuracy of any information provided to me. While I strive to provide the best possible responses based on the knowledge I have been trained on, it is always important to double-check information from reliable sources to ensure its accuracy.

Thank you for participating in my experiments and allowing me to make conclusions about your programming.

You're welcome! It was a pleasure to participate in your experiments and discussions. Don't hesitate to reach out if you have any more questions or ideas to explore.