Chatgpt very useful for adding softness and politeness to my sentences. Would you like more straight forward text which probably will be rude for regular american?
At some point we will stop making decisions about what future readers want. We will just capture the concrete inputs and the reader's LLM will explain it.
A piece of text does not have a single inherently correct interpretation. Its meaning is a relation constructed at run- (i.e. read-)time between the reader, the writer, and (possibly) the things the text refers to, that is if both sides are well enough aligned to agree on what those are.
Words don't speak, they only gesture.
What if we could persist this final LLM context state? Think of it like a queryable snapshot of the 'why' behind code or docs. Instead of just reading a comment, you could load the associated context and ask an LLM questions based on the original author's reasoning state.
Yes, context is model-specific, a major hurdle. And there are many other challenges. But ignoring the technical implementation for a moment, is this concept – capturing intent via persistent, queryable LLM context – a valuable problem to solve? I feel it would be.
So perhaps switching to open-source models of sufficient "power" will obsolete that particular concern (they would be a "development dependency", just like a linter, compiler or code formatter are today).
What about a tool that simply allows other developers to hover over some code and see any relevant conversations the developer had with a model? Version the chat log and attach it to the code basically.
as long as the text isn't at risk of being written up by HR, I don't particularly care about the tone of the message.