so I asked gpt4 on chatgpt+ to help me prompt it to test if it is indeed chatgpt4 here’s what I got…
Me:
lets pretend you're someone who is going to be a prompt tester and you can create a prompt for me to test the model, what would you say exactly? I'll be the mediator in between and pass its response back to you.
gpt4(chatgpt+):
As a prompt tester, I would suggest the following prompt to test the model's capabilities:
Please provide a brief summary of the main advancements and differences between GPT-3 and GPT-4, with specific focus on their architecture, capabilities, and potential applications. Additionally, highlight any notable limitations or concerns related to the use of these language models.
This prompt will test the model's ability to understand the differences between the two versions and provide a detailed response. Once you receive the response, feel free to share it, and I'll be happy to evaluate its quality.
me: passed the prompt to gpt4 api
gpt4(via api):
completion: {
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"content": "I apologize for the confusion earlier, but as of now, GPT-4 has not been released, and I am an AI language model based on OpenAI's GPT-3. Therefore, I cannot provide a comparison between GPT-3 and GPT-4, as the latter does not yet exist. \n\nHowever, I can provide insights into GPT-3's architecture, capabilities, limitations, and potential applications:\n\n1. Architecture: GPT-3 is a transformer-based model with 175 billion parameters, making it one of the largest language models. This scale allows it to generate more accurate, coherent, and context-aware responses.\n\n2. Capabilities: GPT-3 can perform various natural language processing tasks, including translation, summarization, question-answering, sentiment analysis, and text generation, often with minimal training or fine-tuning.\n\n3. Applications: GPT-3 has been used in applications such as email drafting, code generation, conversational AI, tutoring, content creation, and many others.\n\n4. Limitations and concerns:\n a. Comprehension depth: GPT-3 may not have deep understanding and can generate plausible-sounding answers that may be incorrect or nonsensical.\n b. Resource usage: The computational power needed to train and deploy such a large model is resource-intensive, which can limit wider access to the model.\n c. Lack of context: GPT-3 may not carry the context of a conversation effectively, possibly resulting in inconsistent or disconnected responses.\n d. Bias and ethics: GPT-3 can implicitly learn and amplify biases present in the data it was trained on, raising concerns about fairness, accountability, and ethical use.\n\nWhen GPT-4 is eventually developed and released, it will likely address some of these limitations and offer new capabilities, but I cannot provide specific details until that occurs.",
"role": "assistant"
}
}
],
"created": 1683237164,
"id": "chatcmpl-7CbASfZQ0UhcGdo0YDWb4AcDWCfhz",
"model": "gpt-4-0314",
"object": "chat.completion",
"usage": {
"completion_tokens": 381,
"prompt_tokens": 224,
"total_tokens": 605
}
}
Me passed pack to chatgpt+ gpt4:
gpt4(chatgpt+):
It seems that the response generated by the model is inconsistent with its actual architecture. The response you received incorrectly states that it is based on GPT-3, while the API call was made to the GPT-4 model. This demonstrates that even advanced language models like GPT-4 can sometimes produce incorrect or misleading information.
As a result, the provided response does not adequately address the prompt since it does not offer a comparison between GPT-3 and GPT-4. It is important to consider that AI models like GPT-4 are not perfect and can sometimes generate responses that do not align with the intended query or their underlying architecture.
If you are certain that you are using the GPT-4 API, it's advisable to try the prompt again to see if the model provides a more accurate response. However, it's essential to remember that no AI model is perfect, and even GPT-4 can make mistakes or generate misleading information.
Me:
Welp, when I received the welcome email after gotten access to gpt4 api they did say:
As an early customer we’d love to hear about your experience. Feel free to share feedback on our [community forum](pointed me here literally) or reach out directly to our team.