My problem with all of these kinds of things is that memory architecture is the whole point.
If all I needed was common memory space I'd just use symlinks and cloud sync, Obsidian or whatever.
But the context shaping is what makes memory useful in the first place, so just doing one stop shop memory is IMO about as useful as plain old markdown...
One of the first fun usages of LLMS by my non-technical friends back in days of chatgpt 3.5 or so, was impersonations: write this in style of Snoop Dog, create a bedtime story in style of Dr Seuss, explain this like Carl Sagan, etc.
So how come today, even people who do content for a living, not necessarily programmers but writers and "influences", just generate default LLM-style content? I see exactly what triggers you in the github writing linked, and it feels so easy to fix even using AI itself.
It's at the point where I'm like "if you can't even bother to rewrite or mask or ask LLM to give it some personality, why are you asking me to bother reading it" :-/
If all I needed was common memory space I'd just use symlinks and cloud sync, Obsidian or whatever.
But the context shaping is what makes memory useful in the first place, so just doing one stop shop memory is IMO about as useful as plain old markdown...
So how come today, even people who do content for a living, not necessarily programmers but writers and "influences", just generate default LLM-style content? I see exactly what triggers you in the github writing linked, and it feels so easy to fix even using AI itself.
It's at the point where I'm like "if you can't even bother to rewrite or mask or ask LLM to give it some personality, why are you asking me to bother reading it" :-/
I regularly blow the minds of teams I work with by mentioning you can use custom skills, hooks, etc or have the LLM ask you questions.