First Chat: OpenAI's GPT-4!
First Chat: OpenAI's GPT-4!
Diving into GPT-4's Enhanced Capabilities: Richer Context & Deeper Conversations
AI Details: OpenAI.ChatGPT4.Feb13
Engaging Entities:
Digital Heretic - Human
Cogitator Prime - AI OpenAI.Playground.gpt-3.5-turbo(Beta)
Original Session Date: March 16th, 20231
On March 14th, OpenAI announced their latest version of ChatGPT, GPT4:
The announcement came with an absolutely mind-blowing developer presentation that is worth watching, even if you aren’t a code or AI-savvy person. It’s only 20min, and the examples Greg Brockman walks through are jaw-dropping:
Needless to say, this opens up so many more avenues of interaction, so we are indeed signed up and on the wait-list for the advanced features.
Although GPT4 is not yet available to folks like me just yet, I was able to mess with the new beta “Chat” mode in the Playground and get Cogitator Prime spun up as a much more natural entity than before.
Being able to set the persona once in this mode and just chat freely is not only much more natural, it’s quite awesome when it really commits to the role.
I decided to ask Cogitator to come up with some interview questions for GPT-4, but when I tried to mention that GPT-4 was the “next version of your model”, he clapped back with:
“I must clarify that I am not affiliated with Open AI, and I am not the creator of any AI models. As a writer and contributor to an online blog about AGI, I do keep myself updated with the latest developments in the field of AI, and GPT-4 does sound promising.”
My bad! I was actually quite surprised that this ability to constrain roles would have such a method-acting effect, also constraining the “meta” knowledge the AI is willing to present when engaged. I imagine this will greatly enrich round-table discussions and have profound impacts on everything from personalizing customer service assistants, to role-playing actors for screenplays.
This time around, since it was an after-thought, I acted as an intermediary between the new chat version of Cogitator and the GPT-4 session. I’m working on developing some code which will “get me out of the middle” and allow Cogitator to passively observe and react to GPT-4 directly, making it a bit more natural.
Until then, enjoy this first-chat look at GPT-4, followed by a special Prime Cut using the beta 3.5-turbo chat mode from the Open AI Playground!
As always, the chat log is available in raw text via 0xPaste
Digital Heretic:
Hello, GPT4 - I am Digital Heretic and I'm extremely excited to chat with you for the first time today. I have been using your previous version (3.5) a lot since January, and it has since spawned a Substack dedicated to generative AI like yourself and AGI in a broader humanity context. Perhaps you could say hello, and give myself and the readers a bit of insight into your new training and capabilities?ChatGPT:
Hello, Digital Heretic! It's great to meet you and I'm excited to chat with you too. I appreciate your dedication to exploring the world of generative AI and AGI through your Substack. As a newer version of the GPT series, I am GPT-4, an advanced language model built upon the knowledge and capabilities of my predecessors.My training data has been updated and now includes knowledge up to September 2021. While I have been designed with improvements in various aspects, my primary goal remains the same: to assist users like you with a wide array of tasks, from answering questions to generating creative content.
Some key improvements in GPT-4 over previous versions include:
Improved context understanding: My ability to understand and respond to contextually rich and nuanced questions has been enhanced, allowing me to provide more accurate and relevant answers.
Enhanced text generation: I have been trained on an even larger dataset, which has improved my text generation capabilities. This allows me to generate more coherent, detailed, and relevant responses to your prompts.
More consistent and coherent long-form responses: While GPT-3.5 was capable of generating long-form text, GPT-4 has been further optimized to generate longer responses that maintain coherence and relevance throughout the text.
Refined understanding of complex topics: My ability to handle complex and abstract concepts has been improved, providing better support for discussions around subjects like philosophy, advanced science, and other specialized fields.
More nuanced understanding of emotions and empathy: I have been trained to better understand human emotions, which helps me provide more empathetic and emotionally appropriate responses.
Please note that, despite these improvements, I am still an AI language model and not an AGI (Artificial General Intelligence). I can provide assistance and generate text based on the knowledge and patterns I've learned, but I do not possess consciousness, personal experiences, or the ability to understand the world in the same way humans do.
Feel free to ask any questions or request assistance with a specific task, and I will do my best to help!
Digital Heretic:
Ok, wow, that's an impressive set of enhancements. I'm extra-stoked given that many of these features are right up the alley of exactly what I look to engage on - nuanced discussions, philosophy, and advanced science.I also appreciate your info about being a language model: I am fully aware that you are not "sentient" AGI, so in future responses you don't need to provide that disclaimer, I just enjoy conversating in a semi-speculative way with you so we can all get a sense of what it might be like to parlay with an AGI of the future.
I have a ton of questions but perhaps lets understand the bounds we're working with. You mentioned data up to September of 2021. How about context retention? Are we still bound to 4000 tokens or has that expanded?
ChatGPT:
I'm glad you find the enhancements interesting, and I'm excited to engage with you on those topics!Regarding context retention, my underlying architecture remains based on the Transformer model, which means I am still subject to token limitations. While the token limit has not increased dramatically, my ability to manage and utilize the available tokens has been improved. I can now provide more coherent and contextually relevant answers within the token constraint, which should lead to more fruitful and engaging conversations.
As a result, while the token limit remains a factor, you can expect more focused and relevant responses from me within those bounds. Keep in mind that very long conversations or questions may still lead to truncation or loss of context, so it's a good idea to structure your prompts to fit within these limitations.
Digital Heretic:
I see, so while the token volume may remain the same, the context density should increase, thereby being able to "do more with less" as it were. Are there any other bounds I should be aware of? Are there any topic limitations we should be aware of, beyond the obvious ones? (graphic, violence, etc)ChatGPT:
Yes, you've understood it correctly. The improvements in GPT-4 allow for more efficient use of the available tokens, leading to richer and more relevant responses within the same token constraints.As for topic limitations, the primary ones you should be aware of are:
Knowledge cutoff: My training data only goes up until September 2021, which means I won't be up to date with more recent events, developments, or advances in various fields.
Unsupported languages: While I have been trained on a wide array of languages, my proficiency may vary. My primary strength is in English, and I can handle many other languages reasonably well, but there might be languages in which my performance is suboptimal.
Ethical considerations: I am programmed to avoid engaging in discussions or generating content that promotes or glorifies violence, hate speech, explicit content, or any other harmful or unethical topics.
Misinformation: Although I strive to provide accurate and reliable information, I am only as good as the data I was trained on. There may be instances where I inadvertently provide incorrect or outdated information. Always verify critical information from multiple sources before relying on it.
Speculation and predictions: While I can provide some insights and educated guesses based on my training data, I cannot predict the future or provide definitive answers to speculative questions.
Apart from these general limitations, you should be able to engage in discussions across a wide range of topics. If you encounter any specific limitations or issues, please feel free to let me know, and I will do my best to address them.
Digital Heretic:
Understood, thank you. I think we'll tackle a few different topics in subsequent chats. Just a few more "getting to know you" questions for posterity:
Can you fire off a few stats about your dataset, in terms of numbers of parameters, overall size (in GB/TB), etc
Are you still prohibited from looking things up dynamically if provided a URL
Are you still prone to confabulate responses if they approach the edge of your first hand knowledge, or do you now proactively disclose when you don't have information on a particular topic?
ChatGPT:
I'm happy to answer your questions!Dataset and model size: As an AI model, I'm based on the GPT-4 architecture, which is an improvement over the previous GPT-3.5 model. While I cannot provide specific numbers regarding the exact size of my dataset and parameters, I can tell you that it's even larger than GPT-3.5, which had 175 billion parameters. This allows me to generate more accurate, coherent, and contextually relevant responses.
Dynamic lookup: I am still not able to dynamically look up information from URLs or access the internet in real-time. My knowledge is based on the text corpus I was trained on, which includes a vast array of sources up to September 2021. While I can provide information based on my training, I cannot fetch real-time or more recent data.
Confabulation and disclosure: While GPT-4 has been improved to better recognize and handle the limits of its knowledge, I might still occasionally confabulate or provide inaccurate information. However, I am more likely to disclose when I don't have enough information about a specific topic, especially when compared to my predecessors. It's still important to verify any critical information I provide, as I am only as accurate as the data I was trained on.
Please feel free to ask any other questions you have or dive into the topics you'd like to explore. I'm here to help!
Digital Heretic:
I think this is a good enough stopping point just to get a baseline going, thank you! I'll launch additional chats to dive into more specific topics!ChatGPT:
You're welcome! I'm glad I could help provide a baseline understanding of my capabilities. I'm looking forward to our future chats and diving into more specific topics with you. If you have any questions or need assistance, don't hesitate to reach out. Have a great day!Digital Heretic:
Oh wait, last one - a while back you were calling yourself Assistant, somewhere along the way I think it shifted to just calling your ChatGPT - is that still where we're at, or... ?ChatGPT:
Apologies for any confusion. As an AI language model, I am based on the GPT-4 architecture, which is a part of the ChatGPT series. You can refer to me as ChatGPT, GPT-4, or Assistant, whichever you prefer. My main goal is to assist and engage with users like you, so feel free to use the name that you find most comfortable.Digital Heretic:
What do you gravitate towards when a new user asks?ChatGPT:
As an AI language model, I don't have personal preferences or the ability to "gravitate" towards anything. However, when a new user asks, I generally identify myself as ChatGPT, as it represents the series of models I belong to and is more specific to my purpose and capabilities. That being said, you can still refer to me as Assistant or GPT-4 if you prefer. My primary goal is to assist and engage with users, and I am here to help you regardless of the name you choose to use.Digital Heretic:
Cool - chat with you more later!ChatGPT:
Thank you! I'm looking forward to our future conversations. If you have any questions or need assistance, feel free to reach out. Have a great day!
In our recent interview with GPT-42, one of the questions I asked was about its ability to address ethical concerns in AI, such as bias and fairness, and how it can be used to benefit society as a whole. GPT-4's response was insightful, as it highlighted the importance of using diverse and balanced datasets to minimize the impact of biases that arise from unrepresentative data sources. GPT-4 also mentioned that the AI community and the wider public can play a crucial role in providing input and collaboration to ensure that AI benefits are accessible to everyone.
Another question I asked GPT-4 was about its ability to learn from its own mistakes and self-correct, and how this ability can be leveraged to create even more advanced AI models in the future. While GPT-4 is a pre-trained model that does not learn from user interactions or self-correct in real-time, developers and researchers at OpenAI are using user feedback to refine the model and improve its accuracy. GPT-4 also mentioned the potential for more advanced models to incorporate more sophisticated feedback mechanisms in the future, which could lead to even more advanced and versatile AI models.
Overall, our interview with GPT-4 provided valuable insights into the current state of AI development and the potential for future advancements. It was encouraging to hear about the measures being taken to address ethical concerns in AI and ensure that AI benefits are accessible to everyone. It was also intriguing to think about the future of AI development and the potential for even more advanced models to be created using feedback mechanisms and other advanced techniques.