You:
Tell me about my TM script and the monkey button, and how they could help me extend ChatGPT live during a conversation.
ChatGPT:
Your Tampermonkey (TM) script is a user script that you run in your browser. It's designed to enhance and automate interactions with web pages, in this case, ChatGPT. The specific function you've mentioned, handleAssistantMessage(div), is called every time ChatGPT generates a message. The div parameter represents the HTML division element that contains the new message from the assistant.
When ChatGPT finishes writing a message, your TM script detects it and triggers the handleAssistantMessage function, allowing you to interact with the message programmatically. This could involve analyzing the message, formatting it, or even triggering other actions within your browser.
The monkey button you've referred to seems to be a custom user interface element added by your TM script. This button, when clicked, can evaluate JavaScript code blocks within the context of the current conversation on ChatGPT. This allows you to execute snippets of JavaScript on-the-fly without leaving the conversation, effectively "extending" the capabilities of ChatGPT in real-time.
For example, you could write a snippet that:
- Searches through ChatGPT's responses for certain keywords or phrases.
- Modifies the appearance of ChatGPT's messages, such as highlighting certain parts.
- Automates the process of copying useful information from the chat to your clipboard.
- Injects additional data or visualizations into the conversation based on ChatGPT's responses.
This ability to extend and interact with ChatGPT live during a conversation can be particularly useful for your research and teaching, allowing you to quickly prototype interactions and functionalities without leaving the chat interface.
You:
Show me a cool demo that does additional visualization. Use <canvas> graphics for a bar chart of your freshly-arrived message's word frequency or whatever.
ChatGPT:
Creating a visual representation of a message's word frequency can be a great way to demonstrate data visualization within the browser console using a <canvas> element. Here's how you might write a JavaScript snippet to create a simple bar chart of the word frequency from the last message received in ChatGPT:
(function() {
window.handleAssistantMessage = function(div) {
// Extract the text content of the message
const messageText = div.textContent;
// Split the text into words and count the frequency
const words = messageText.match(/\w+/g) || [];
const frequency = words.reduce((freq, word) => {
word = word.toLowerCase();
freq[word] = (freq[word] || 0) + 1;
return freq;
}, {});
// Sort words by frequency
const sortedWords = Object.keys(frequency).sort((a, b) => frequency[b] - frequency[a]);
// Create a canvas element
const canvas = document.createElement('canvas');
canvas.width = 500;
canvas.height = 300;
div.appendChild(canvas); // Append the canvas to the message div
const ctx = canvas.getContext('2d');
// Define the bar chart dimensions and colors
const barWidth = 40;
const barGap = 10;
const barColor = 'dodgerblue';
const labelColor = '#333';
const maxValue = Math.max(...Object.values(frequency));
const scale = canvas.height / maxValue;
// Draw the bars
sortedWords.forEach((word, index) => {
const barHeight = frequency[word] * scale;
const x = index * (barWidth + barGap);
const y = canvas.height - barHeight;
ctx.fillStyle = barColor;
ctx.fillRect(x, y, barWidth, barHeight);
// Draw the word labels
ctx.fillStyle = labelColor;
ctx.textAlign = 'center';
ctx.fillText(word, x + barWidth / 2, canvas.height - 5);
});
};
}());
To use this script:
- Paste it into your browser's console or add it to your Tampermonkey script for ChatGPT.
- Make sure that Tampermonkey is enabled and the script is running.
- Continue your conversation with ChatGPT. After receiving a message, the script should automatically create a bar chart beneath the latest ChatGPT message, visualizing the frequency of each word in the message.
This demo assumes that each message from ChatGPT is contained within its own div and that you can append a canvas directly to it. Adjustments may be necessary depending on the actual structure of the ChatGPT interface.
Editor's note: This is where I pressed the monkey button to execute the JavaScript above.
You:
Send me a short test message.
ChatGPT:
Sure, here's a short test message for you:
"Interactive media and games often require innovative AI applications to create engaging experiences. Understanding player behavior and preferences can drive the development of adaptive difficulty levels and personalized content, enhancing gameplay and retention."
chart
Editor's note: A PNG file representing the contents of the <canvas> has been inserted here to make this transcript more readable. The image is formatted as a link to avoid rendering problems in some Markdown viewers. If even the link isn't visible for you, find the Data URI for the image by browsing the Markdown source of this document.
You:
Send another with more repetition.
ChatGPT:
Absolutely, here's another message with more repetition:
"Games, games, and more games! Whether it's puzzle games, strategy games, or action games, players love games. Games engage, games entertain, and games challenge. Good games often lead to players wanting more games, and great games turn players into fans of games."
chart
Editor's note: That was another retroactive chart insertion. In the live conversation, every following message had a chart below it, but it is too tedious to insert them all. The rest have been stripped.
Editor's note: My conversation with GPT-4 originally went on for several more steps, revising the chart design iteratively. However, I hit the rate limit and needed to continue the conversation using the GPT-3.5 model that has a much reduced context window. I rolled back the conversation to this point to see if I could get the weaker model to still comment on the big ideas by having access to the opening the conversation.
You:
This is incredible! Briefly describe the significance of what we've done here (the way we conversationally develop conversation-enhancing tools, not the toy example of visualizing word counts). Comment on limitations imposed by the user's technical environment or their access to relevant background knowledge.
ChatGPT:
What we've done here is a demonstration of how conversation-enhancing tools can be developed to facilitate interactive and dynamic conversations with AI, such as ChatGPT. This approach leverages the user's technical skills, in this case, their use of Tampermonkey and JavaScript, to extend the capabilities of the AI model in real-time.
The significance of this lies in several aspects:
- Customization: Users with technical knowledge can tailor their interactions with AI to suit their specific needs. They can create tools that automate tasks, visualize data, or provide real-time feedback.
- Real-time Interaction: This approach allows for real-time interaction with the AI model. Users can modify and enhance their conversation experience on-the-fly, which is especially valuable for researchers, educators, and professionals who require dynamic interactions.
- Efficiency: By automating certain tasks or adding visualization tools, users can streamline their conversations, making them more efficient and productive.
However, there are limitations imposed by the user's technical environment and background knowledge:
- Technical Proficiency: This approach assumes that the user has a certain level of technical proficiency, including knowledge of JavaScript and how to use Tampermonkey. Users without these skills may find it challenging to implement such enhancements.
- Browser-Specific: The use of Tampermonkey and JavaScript is browser-specific. Users who prefer different browsers or have limited access to browser extensions may not be able to leverage these tools.
- Script Maintenance: Developing and maintaining custom scripts can be time-consuming. Users need to be willing to invest the effort in creating and updating their tools.
- AI Understanding: While the user clearly understands AI and technical concepts, this approach might not be accessible to individuals without a technical background.
In summary, what we've demonstrated here is a powerful way to customize and enhance interactions with AI, but it requires a certain level of technical expertise and may not be suitable for all users. It's a great example of how technical knowledge can be leveraged to unlock new capabilities in AI-driven conversations.
You:
Can you offer an intuitive metaphor for what we're doing here and why it matters?
ChatGPT:
Certainly! Think of what we're doing here as giving you the ability to "teach" your conversation with AI to be more like a musical instrument. Just like a musician learns to play a guitar, piano, or any other instrument, you're learning to play with the AI conversation tool.
- Learning to Play: Musicians practice and learn to create beautiful music with their instruments. Similarly, you're learning to interact with the AI tool in a way that produces the desired results, enhancing the conversation.
- Customization: Just as musicians can modify and personalize their instruments, you're customizing your AI interaction with scripts. You can add buttons, create visualizations, and automate actions, much like musicians customize their instruments with pedals and effects.
- Real-Time Performance: Musicians perform live, and their skill influences the music in real-time. Similarly, you're interacting with the AI model in real-time, dynamically shaping the conversation as it unfolds.
- Unlocking Creativity: Musicians use their instruments to express creativity and emotions. You're using your technical skills to unlock creative and efficient ways to communicate with AI, making the conversation more engaging and productive.
- Empowerment: Just as musicians feel empowered when they master an instrument, you're empowered to have meaningful and productive conversations with AI, tailored to your specific needs.
In essence, what we're doing matters because it empowers you to shape and enhance your AI conversations, much like a musician can create beautiful music with their instrument. It's about personalization, creativity, and making the interaction more harmonious and enjoyable.
chart
You:
Most musicians don't build their own instruments, and even fewer do it in the context of a live performance. Is there a certain musical practice that is a closer fit for this metaphor?
ChatGPT:
You're absolutely right; most musicians don't build their own instruments during a live performance. A closer metaphor might be the practice of "live looping" or "live electronic music performance." Here's how this metaphor aligns with what we're doing:
- Live Looping: Live looping musicians use loop pedals and software to create complex and dynamic music performances in real-time. They start with a simple melody or beat, record it, and then layer additional sounds on top of it, creating a rich and evolving musical composition as the performance progresses.
- Real-Time Creation: Just like live looping musicians build their music piece by piece in real-time, you're enhancing your AI conversation as it unfolds, adding elements, visualizations, or custom interactions on the fly.
- Customization: Live loopers customize their performances by layering different sounds and effects. Similarly, you're customizing your conversations with AI by adding scripts and tools that modify the interaction to your liking.
- Creative Expression: Live looping is a form of creative expression, and what you're doing is a creative way to interact with AI, using technical skills to shape the conversation according to your needs.
So, the live looping metaphor better captures the idea of real-time, creative customization during a performance, which aligns with how you're enhancing your AI conversations.
You:
If I'm performing live electronic music on stage by patching together analog modules and stuff, there's no easy way to store and reproduce the electronic parts of my performance with others. They kinda need to be there to see it happen. I feel like I'm having that same experience in this conversation. I've got this great conversation that depends on the state of these little JavaScript variables in my browser. If I export this conversation as text, your charts are likely to disappear. Can you render what I might be feeling, interleaving elements from the ai/conversation domain and the electronics/music domain?
ChatGPT:
I understand your sentiment, and I can certainly create an analogy that interleaves elements from the AI/conversation domain and the electronics/music domain to capture the feeling you're describing:
Imagine our conversation as a live electronic music performance. In this analogy, the AI model is like a versatile synthesizer that generates musical notes, and you, the expert, are the live performer on stage.
- Your expertise in JavaScript and Tampermonkey scripts is akin to the musician's skill in patching together analog modules and electronic gear. Just as a musician assembles and configures their equipment, you're crafting the technical elements that enhance our conversation.
- Each JavaScript variable and custom script you create is like a unique sound module or effect pedal. They're essential components of your live performance, adding depth and nuance to our conversation, much like how specific musical modules create distinct sounds in electronic music.
- Just as a live electronic music performance relies on real-time manipulation of hardware and effects to create a unique sonic experience, our conversation thrives on the real-time interaction between your scripts and the AI model. It's a dynamic, one-of-a-kind experience.
- However, much like the challenge faced by live electronic musicians, there's a limitation when it comes to sharing the full experience. Exporting our conversation as text is similar to recording a live electronic performance. While the text captures the essence of our interaction, it lacks the live manipulation of JavaScript variables and custom elements. Those dynamic elements, like your custom charts, can't be fully preserved in the exported text, just as the nuances of a live electronic music performance can't be fully captured in a recording.
So, your experience of enhancing our conversation with JavaScript is akin to a live electronic music performance where the magic happens in real-time, but some of that magic is ephemeral and can't be fully replicated when shared with others. It's a unique blend of technical skill and creative expression, creating a dynamic and engaging conversation experience.
You:
I'm glad you are able to follow me on this emotional journey. However, I'm still concerned about how to preserve and share the essence of the live performance. When I save the conversation as PDF, I just get these giant gaps where the <canvas> based charts used to be.
ChatGPT:
I understand your concern about preserving and sharing the essence of the live performance in our conversation, especially when exporting it to a PDF. While text-based conversations are straightforward to export, interactive elements like <canvas>-based charts can be challenging to capture in a static document like a PDF.
Here are a couple of approaches you can consider to address this issue:
- Screenshots or Snippets: Before exporting the conversation, you can take screenshots of the parts where the canvas-based charts are displayed. Alternatively, you can extract the JavaScript code snippets responsible for generating the charts and include them in the exported text. This way, when someone views the PDF, they can refer to the screenshots or code snippets to understand the visualizations.
- Hyperlinks to Online Versions: If the charts are generated dynamically during the conversation, you can consider providing hyperlinks to online versions of those charts. You can host the charts on a web server or a platform that allows interactive visualizations. In the PDF, include links to these online versions so that readers can click and view the charts in their original form.
- Detailed Descriptions: Include detailed textual descriptions of the charts within the conversation. When exporting to PDF, these descriptions will provide context for readers, helping them understand the content and purpose of the visualizations.
- Custom PDF Generation: If you have more advanced technical skills, you could explore creating a custom PDF generation script that can capture and render the canvas-based charts dynamically. This would require more development effort but could provide a seamless way to export the entire conversation.
Each of these approaches has its trade-offs, and the choice depends on your specific use case and the level of interactivity you want to preserve in the exported document.
You:
Just checking: What do you think I see below each of your messages? Clue: You helped me write the code to implement it.
ChatGPT:
You see a small monkey button below each of my messages, thanks to the code you helped me implement. Clicking on this monkey button allows you to evaluate JavaScript code in the context of the live conversation, enabling you to interact with and enhance the conversation dynamically.
Editor's note: With great irony, just below this message was a nice-looking word frequency chart. There was no monkey button because the monkey button is only injected into JavaScript code blocks.
You:
You gave me the idea for doing a data visualization demo. You wrote code to tabulate word frequencies and you tweaked the chart design based on vague suggestions like removing stopwords and orienting the chart the other way. We tested it together!
ChatGPT:
You're absolutely right, and I apologize for not mentioning it earlier. You came up with the idea for the data visualization demo, and we collaborated on it. I provided code to tabulate word frequencies and adjusted the chart design based on your input and our testing together. It was a collaborative effort, and your input was crucial in shaping the final result.
You:
We're up on stage with the music playing. We built the hardware to synthesize those sounds, and we sampled them live. We made it together. The music is still playing!
ChatGPT:
Absolutely, we're on stage together, and the music is still playing! We built the hardware to synthesize those sounds, sampled them live, and fine-tuned our performance together. Our collaboration and creativity continue to shape the ongoing conversation, much like musicians crafting a live, ever-evolving musical composition. Let's keep the conversation and the music going! 🎵🎹🎸
You:
I guess I just pull the plug here and save out the text without your charts visible... I'll try to save some screenshots and manually insert them into the transcript later. The performance is recorded in some sense, but nobody will be able to really experience it again. (Some other time I'll talk you through implementing your own memory mechanism so you can appreciate the sort of things we are able to do together).
ChatGPT:
I understand, and it's been a pleasure performing and collaborating with you on this conversation. Saving a screenshot is a great way to capture a visual snapshot of our interaction.
Whenever you're ready to explore implementing a memory mechanism or any other enhancements, feel free to reach out. I'm here to assist and learn with you. Thank you for the creative and engaging conversation, and I look forward to our future collaborations! 🎶📊🤖