Or AI to rank and filter out the things you need based on public indexing. Preferably there’d be several AI assistants to choose from. Things seem to be moving in that direction anyway.
While this is true (and a problem with current engines like Google), I could see having a local LLM doing the filtering for you based on your own criteria. Then you could do a wide-open search as needed, or with minimal filtering, etc.
When I’m searching for technical stuff (Android rom, Linux commands/how it works), it would be really helpful to have some really capable filtering mechanisms that have learned.
When I want to find something from a headline, then it needs to be mostly open (well, maybe filtering out The Weekly World News).
But it really needs to be done by my own instance of an LLM/AI, not something controlled elsewhere.
Or AI to rank and filter out the things you need based on public indexing. Preferably there’d be several AI assistants to choose from. Things seem to be moving in that direction anyway.
With your own customization, done locally.
The problem is that personalization of search results tends to information bubbles. That is the reason why I prefer DDG over Google.
While this is true (and a problem with current engines like Google), I could see having a local LLM doing the filtering for you based on your own criteria. Then you could do a wide-open search as needed, or with minimal filtering, etc.
When I’m searching for technical stuff (Android rom, Linux commands/how it works), it would be really helpful to have some really capable filtering mechanisms that have learned.
When I want to find something from a headline, then it needs to be mostly open (well, maybe filtering out The Weekly World News).
But it really needs to be done by my own instance of an LLM/AI, not something controlled elsewhere.
Ai won’t help since it’ll be programmed to show only what it’s owners want us to see