Ideas for Next-Generation Writing Platforms, using LLMs

Being Wrong on the Internet: The LLM generates a flawed forum-style comment, such that the thing you've been wanting to write is a knockdown response to this comment, and you can get a "someone"-is-wrong-on-the-internet drive to make the points you wanted to make. You can adjust how thoughtful/annoying/etc. the wrong comment is.

Target Audience Personas: You specify the target audience that your writing is aimed at, or a few different target audiences. The LLM takes on the persona of a member of that audience and engages with what you've written, with more explicit explanation of how that persona is reacting and why than most actual humans would give. The structure could be like comments on google docs.

Heat Maps: Color the text with a heat map of how interested the LLM expects the reader to be at each point in the text, or how confused, how angry, how amused, how disagreeing, how much they're learning, how memorable it is, etc. Could be associated with specific target audiences.

I'd mention my Nenex. A good phrase here is "Photoshop for text": https://interconnected.org/home/2024/05/31/camera

It would be a good idea to just look at what existing LLM writing services like Sudowrite or NovelAI do offer now. ChatGPT/Claude-3 may be the most convenient & powerful LLMs to use, but they are obviously not going to be the best for writing: their interfaces are simple and not the focus of their companies, and the RHLF/assistant-tuning devastates their creative writing ability.

Predictive Clustering: Whenever your writing is predictable (for example, when responding to something or after the first few sentences of a new post), an LLM could vaguely predict the points you might make. It could cluster these points, allowing you to point and click on the relevant cluster. For instance, in a political piece, you might first click, "I [Agree | Disagree | Raise Interesting Other Point | Joke]." You then select "Raise interesting point," and it presents you with 5-20 points you might want to raise, along with a text box to add your own. Once you add your point, you can choose a length.

This seems like something that is very likely to come into existence in the near future, but I hope does not. Not only does it rob people of the incredibly useful practice of crafting their own arguments, I think putting better words in the user's mouth than the user planned to say can influence the way the user actually thinks.

I also use LLMs (Claude, mostly) to help with writing and there are so many things that I find frustrating about the UX. Having to constantly copy/paste things in, the lack of memory across instances, the inability to easily parallelize generation, etc.

I'm interested in prototyping a few of these features and potentially launching a product around this — is that something you'd want to collaborate on?