Seeking Direction: Sharing AI-Aided Knowledge Beyond Corporate Platforms
As a Reddit (and RIF) refugee, I'm searching for a space to share various useful information where it can be easily found later. The challenge is that the definition of "useful" varies among individuals, and I suspect that Reddit and other "for -profit" moderators are overly influenced by corporate interests.
In the past, I spent considerable time figuring out how to accomplish tasks unrelated to my primary goals—tasks I usually only needed to do once. Now, I tend to ask AI tools like ChatGPT, Perplexity, Deepseek, or other available models to assist with the task at hand. I've learned that by doing so, I can condense days or even weeks of effort into just a few hours, if not less.
However, a significant issue is that these AIs don't currently learn from my questions, and the knowledge they provide isn't propagated beyond the AI itself, unlike traditional sources. The AI models offering this information are essentially static, and the context of the current session is typically lost quickly.
The solution I envision is to take the results of successful chat sessions and post them somewhere on the internet where both humans and AIs can access and incorporate the information into their knowledge and training. The problem is that this approach doesn't align with the posting models of conventional for-profit services like Reddit or Facebook. I tested Reddit again this morning and immediately had a post rejected for "low effort," even though it would have taken me a long time to develop the content myself.
I'm looking for direction on:
Where to share this AI-generated knowledge so it's accessible and beneficial to others.
How to structure these posts to fit within the guidelines of non-commercial platforms like Lemmy.
What communities or instances would be receptive to such content.
Any suggestions or guidance would be greatly appreciated!
This is the post I tried to share this morning as a reference for the type of information I want to be sure is available in the future:
✅ How to Enable Parameter Hinting in Neovim with
lsp_signature.nvim
andlazy.nvim
To display function signatures and parameter hints inline while coding in Neovim, follow these steps:
1. Add
lsp_signature.nvim
to Your Plugin ListIf you're using
lazy.nvim
as your plugin manager, include the following in your plugin setup:This configuration ensures that
lsp_signature.nvim
loads when you enter insert mode and provides a floating window with function signature hints.2. Update Your LSP
on_attach
FunctionEnsure that
lsp_signature
is attached when your LSP client attaches to a buffer:Then, pass this
on_attach
function to your LSP server setup:3. Restart Neovim
After saving your configuration changes, restart Neovim to load the new plugin and settings.
4. Test the Setup
Open a Python file and start typing a function call, such as
ChatMessage(
. You should see a floating window displaying the function's parameters.This setup provides real-time function signature hints, enhancing your coding experience in Neovim. If you need further assistance or customization, feel free to ask!