mbjorkegren

Intelligent large language models like OpenAI's GPT-3 can be used to improve Pol.is in several ways, enhancing the platform's capabilities and user experience. Here are some potential improvements:

1. Statement generation: Language models can generate high-quality, relevant, and diverse statements or questions based on the conversation topic. This can help stimulate more engaging and informative discussions among participants.

2. Summarization: Language models can automatically summarize conversation threads, identifying key points and areas of agreement or disagreement. This can make it easier for users to understand the overall flow of the conversation and track its progress.

3. Sentiment analysis: Language models can analyze the sentiment of participants' responses, providing insights into the emotional tone of the conversation. This can help organizers identify potential areas of contention or support and address them more effectively.

4. Moderation: Language models can help in automating content mode

mbjorkegren

// 1. Create your own gist in another tab, and add a JSON object as the contents, like this
//    { "name": "Mike" }

// 2. Save the gist, and click <> and copy the url, then hit your back button.

// 3. In Chrome dev tools, open the console (hit esc), and create a variable to store the url.
var url = "https://gist.github.com/mbjorkegren/6236844/raw/78e11f7afe3303f860bc35ef9d94316b66349d50/gistfile1.txt";

mbjorkegren

{"name": "Fluffy2"}

mbjorkegren

asdfasdf

mbjorkegren

{
  color: "blue"
}

mbjorkegren

{
  "color": "blue"
}