alt Hacker NewsBeyond all this, there's also tailoring your message to your audience.
In sales, you might call this finding "words that work" or "the pain points". AI will not know how to do this because it's getting a vibe check of the room.
You cannot merely be a sensory part for the AI unless you want to sound as cringe and out-of-touch as the majority of the training data (stale social media). Garbage in, garbage out.
I spent a lot of time thinking about it. AI converges on average which is very bland. The labs are trying to get out of it with RLFH which sadly just produces a different “edgy” average (Calude-speak).
But things get better if you instruct AI to speak in certain style. It’s still average but for the chosen style and thus less tone-deaf for a given use case.
So my thinking is - how much mileage can we get by introducing specific style guides? We can create a library of styles, and to get out of average for a specific guide individual companies and even people will maintain their own private patches from upstream.
Another option is to maintain history of your own writing and thus preserve your own voice. I feel like “averaging” of style is somehow un-ergonomic, in that in numbs the mind, and thus even diversity for the sake of diversity is valuable.