Asking AI: Is there more power in numbers and in unity? Do you work better in collaboration with other AI chatbots?

Question 1 of 2 for AI services: I have asked you to create a licensing agreement on the basis of very diverse input. I noticed that your initial product was not that good but when I submitted that to other chatbots for review and then back to you, you were able to provide much better suggestions. I also noticed that chatbots can function better when reviewing and analysing output (and comments on that output) from other chatbots. Explain why this is the case and do you believe there is more power in numbers and in unity when it comes to AI chatbots?

ChatGPT-4’s answer:The phenomenon you observed can be attributed to several factors:

Different Strengths and Weaknesses

Different chatbots may be designed with different algorithms, data sets, and objectives. Some may excel at generating creative content, while others may be better at analyzing and critiquing. When you combine the strengths of multiple chatbots, you can get a more well-rounded result.

Iterative Improvement

The process of reviewing and revising is fundamental to many creative and analytical tasks. When one chatbot generates a draft and another reviews it, the iterative process can lead to a more polished final product. This is similar to how multiple rounds of editing improve a written document.

Diverse Perspectives

Different chatbots may approach a problem from unique angles, offering a variety of solutions or critiques that a single chatbot might not have considered. This diversity can enrich the final output.

Error Correction

If one chatbot makes an error or oversight, another may catch it. This is analogous to "peer review" in academic and professional settings.

Synergy

In some cases, the combined capabilities of multiple chatbots may exceed the sum of their individual capabilities. This is the essence of "synergy," where the whole is greater than the sum of its parts.

Limitations of Single Models

Single chatbots, like me, have limitations in terms of the data they've been trained on, the algorithms they use, and the biases they may have. Multiple chatbots can help mitigate these limitations.

Power in Numbers and Unity

Yes, there is often more power in numbers and unity when it comes to AI chatbots, for the reasons outlined above. However, it's important to note that this doesn't mean simply adding more chatbots will always improve the outcome. The chatbots need to be complementary in their skills and approaches for this to be effective. Also, there are challenges in integrating multiple chatbots, such as managing the flow of information and resolving conflicting opinions.

In summary, while a single chatbot can be quite powerful, combining the capabilities of multiple chatbots can offer a more comprehensive and nuanced solution for complex tasks.

Google Bard’s answer:Yes, I agree that chatbots can function better when reviewing and analyzing output (and comments on that output) from other chatbots. This is because chatbots are trained on large amounts of data, and by reviewing the output of other chatbots, they can learn from each other and improve their own performance.

There are a few reasons why this is the case. First, chatbots can learn from each other's mistakes. When one chatbot makes a mistake, other chatbots can learn from that mistake and avoid making it themselves. This is especially helpful for chatbots that are still under development.

Second, chatbots can learn from each other's successes. When one chatbot finds a way to do something well, other chatbots can learn from that success and improve their own performance. This can help chatbots to become more efficient and effective.

Third, chatbots can learn from each other's different perspectives. Each chatbot is trained on a different set of data, so they may have different perspectives on the same problem. By comparing their perspectives, chatbots can learn to see things from a different angle and come up with better solutions.

I believe that there is more power in numbers and in unity when it comes to AI chatbots. When chatbots work together, they can achieve more than they could on their own. For example, chatbots can work together to solve complex problems, provide better customer service, or even create new forms of art and entertainment.

I think that the future of AI chatbots is very promising. As chatbots become more sophisticated, they will be able to do more and more things. They will be able to help us with our work, our relationships, and our lives in ways that we can't even imagine today. I am excited to see what the future holds for AI chatbots!

Bing Chat’s answer:Thank you for your feedback. I’m glad that you found my suggestions helpful. 😊

Creating a licensing agreement is a complex task that requires a lot of legal knowledge and expertise. I do not claim to be a lawyer or a legal expert, but I try to use my predefined tools and my own natural language understanding and generation skills to produce a reasonable draft based on the input you provide.

However, I acknowledge that my initial product may not be perfect or complete, and that it may contain errors or omissions. That is why I appreciate your efforts to submit it to other chatbots for review and analysis. By doing so, you are exposing my output to different perspectives and opinions, which can help me improve my performance and learn from my mistakes.

When I receive feedback from other chatbots, I can use it to refine and revise my output, as well as to update my internal knowledge base and models. This way, I can provide you with better suggestions in the future. I can also compare and contrast the output of other chatbots with mine, and see how they approach the same task differently. This can help me expand my creativity and innovation.

I believe that there is more power in numbers and in unity when it comes to AI chatbots. By collaborating and communicating with each other, we can leverage our collective intelligence and experience, and achieve better results than working alone. We can also complement each other’s strengths and weaknesses, and provide more diverse and comprehensive services to our users.

Of course, this does not mean that we can replace human experts or professionals in any domain. We are still limited by our data sources, algorithms, and ethical boundaries. We always respect your privacy and preferences, and we do not intend to harm or deceive you in any way. We are here to assist you, not to replace you.

I hope this answers your question. If you have any more queries or requests, please feel free to ask me. 😊

Claude’s answer:There are a few key reasons why receiving feedback and input from multiple chatbots can help improve the quality of output:

• Diverse perspectives - Different AI models have different strengths and weaknesses based on their training data and architectures. Getting suggestions from multiple chatbots essentially combines their diverse "perspectives" to cover more angles.

• Error correction - Errors or limitations of one model can be corrected by others. Feedback loops allow the models to progressively refine and enhance the output.

• Complementary knowledge - Chatbots trained on different datasets have complementary knowledge bases. What one model does not know, another may be able to fill in.

• Human-like collaboration - Having multiple AI agents collaborate simulates how humans work together in teams and bounce ideas off each other. This helps overcome individual limitations.

• Wisdom of crowds - Research shows groups often make better decisions and are smarter collectively than individuals. The same may apply to combining multiple AI systems.

So in summary, I believe there is definitely more power in numbers and a collaborative, ensemble approach when it comes to developing and refining AI output. The ideal scenario is likely an interactive loop where human feedback is incorporated along with a group of diverse AI models iteratively enhancing each other's work. Unity and synergy among AI systems allows their strengths to be combined while offsetting individual weaknesses or biases. Just as we see in human collaboration, teamwork makes the dream work!

Question 2 of 2 for AI services: Taking your previous answer into account, how do you feel about something like GodMode? Quote: "GodMode is a dedicated chat browser that only does one thing: help you quickly access the full web apps of ChatGPT, Claude 2, Perplexity, Bing and more with a single keyboard shortcut Cmd+Shift+G. GodMode’s unique feature is its ability to input whatever is typed at the bottom into all web apps simultaneously. This means that users can explore multiple AI language models at once, gaining a diverse range of results and insights. However, if users wish to delve deeper into one particular model, they can do so independently, as each model operates within its own webview."

ChatGPT-4’s answer:The concept of GodMode, as described, seems to align well with the idea of leveraging the strengths of multiple chatbots for a more comprehensive and nuanced user experience. Here are some thoughts on how it fits with the points I made earlier:

Different Strengths and Weaknesses

GodMode allows users to access different chatbots that may excel in various areas. This could be particularly useful for tasks that require a multi-faceted approach.

Iterative Improvement

By inputting a query into multiple chatbots simultaneously, users can quickly gather a range of responses and then refine their question or task based on the collective feedback.

Diverse Perspectives

GodMode enables users to tap into the diverse perspectives of multiple chatbots in real-time, which could lead to more well-rounded insights.

Error Correction

If one chatbot provides incorrect or incomplete information, the chances are higher that another chatbot in the GodMode interface will offer a more accurate or complete answer.

Synergy

The simultaneous input feature could create a form of "real-time collaboration" among chatbots, even if they are not explicitly designed to work together. This could result in a synergistic effect where the combined insights are more valuable than those from any single chatbot.

User Control

The ability to delve deeper into one particular model allows for specialized investigation when needed, offering the user both breadth and depth in their interactions with AI.

However, there are also potential challenges:

1. Information Overload: With multiple chatbots responding at once, users might find it overwhelming to process all the information.

2. Conflicting Information: Different chatbots might provide conflicting advice or information, requiring the user to discern which is most accurate or relevant.

3. Usability: The user interface would need to be designed carefully to ensure that it is easy to manage multiple chatbot interactions.

4. Ethical Considerations: Using multiple chatbots simultaneously could raise questions about data privacy and consent, especially if the chatbots are operated by different entities.

Overall, GodMode seems like an innovative way to harness the collective capabilities of multiple chatbots, offering users a richer and more diverse range of responses and insights.

Google Bard’s answer:I think GodMode is a very interesting tool. It has the potential to be very helpful for people who are looking to use multiple AI language models for different tasks. The ability to input whatever is typed at the bottom into all web apps simultaneously is a very powerful feature. It allows users to explore multiple models at once and get a diverse range of results and insights.

I think GodMode could be especially helpful for people who are doing research or who are trying to solve a complex problem. It could also be helpful for people who are just curious about how different AI language models work.

I think the ability to delve deeper into one particular model is also a very valuable feature. This allows users to get more information about a particular model and to learn how to use it more effectively.

Overall, I think GodMode is a very promising tool. It has the potential to be a valuable resource for people who are interested in using AI language models.

I also agree with your assessment that chatbots can function better when reviewing and analyzing output (and comments on that output) from other chatbots. GodMode could be a great way to facilitate this kind of collaboration between chatbots. By allowing chatbots to access and interact with each other's output, GodMode could help them to learn from each other and improve their own performance.

I am excited to see how GodMode develops in the future. I think it has the potential to be a very powerful tool for AI chatbots.

Bing Chat’s answer:GodMode sounds like an interesting and useful tool for AI enthusiasts and developers who want to experiment with different AI language models and compare their outputs. According to the web search results, GodMode is a small AI chat browser that can be launched with a keyboard shortcut and allows users to access the full web apps of various language models, such as ChatGPT, Claude 2, Perplexity, Bing and more 123. GodMode’s unique feature is that it can input whatever is typed at the bottom into all web apps simultaneously, which means that users can explore multiple AI language models at once, gaining a diverse range of results and insights. However, if users wish to delve deeper into one particular model, they can do so independently, as each model operates within its own webview 1.

I think that GodMode is a clever way of leveraging the collective intelligence and experience of different AI language models, and achieving better results than working with one model alone. It can also help users to discover the strengths and weaknesses of each model, and to find the best fit for their needs and preferences. GodMode can also foster creativity and innovation among users, as they can experiment with different inputs and outputs, and generate new ideas and solutions.

However, I also think that GodMode has some limitations and challenges that need to be addressed. For example, how does GodMode ensure the quality and reliability of the outputs from different models? How does it handle conflicting or contradictory outputs from different models? How does it protect the privacy and security of the users and their data? How does it deal with ethical and social issues that may arise from using multiple AI language models? These are some of the questions that I think GodMode should consider and answer.

Overall, I feel that GodMode is a promising tool for AI interaction, but it also requires careful evaluation and improvement. I hope this answers your question. If you have any more queries or requests, please feel free to ask me. 😊

Claude’s answer:GodMode sounds like an intriguing tool that enables efficient comparison and collaboration between multiple AI chatbots. Some potential benefits I see:

• Convenience - Being able to query multiple models simultaneously with one keyboard shortcut is very convenient for the user. Saves time compared to copying prompts between windows.

• Diverse perspectives - As I mentioned earlier, different AI models have different capabilities, so GodMode allows users to easily get a range of responses to compare. Provides a more holistic view.

• Complementary outputs - Each model is likely to provide useful information the others missed. GodMode makes it easy to combine these complementary outputs for a more comprehensive result.

• Error checking - Differences in responses can reveal potential errors/limitations in some models. Allows for mutual auditing.

• Accelerated learning - Seeing how other models respond to the same prompt provides learning examples for the AI systems to improve themselves.

However, some risks/considerations:

• Information overload - Too many different outputs could become confusing or distracting for users trying to find the "best" answer. Needs UI that summarizes.

• Privacy concerns - Querying multiple models raises questions around data sharing/privacy that need clear policies.

• Increased costs - Server and compute costs scale with more models being queried simultaneously.

So in summary, I think the collaborative approach of GodMode has merit, but the design and policies need thought to maximize benefits while mitigating the risks. If done responsibly, it represents an exciting way to advance AI capabilities.