What you describe sounds like a mix of personal knowledge base that seats on the top of existing search engines, public and maybe even private databases. Major difference is here:
* when you make a query to this knowledge base, it has a history of your prev searches / preferences (not google)
* it can propose variants of suggestions on what is your intent in this particular query - and make much more detailed queries (auto include/exclude keywords websites etc) to multiple sources (not only google, maybe anonymously)
* it can parse results from these sources and re-arrange them (use own rank system) according to the your preferences. In this system, you can explicitly say - I hate that, and I like that, and this will affect the behavior. Yes this is 'information bubble' but it is controlled by you and not by google!
* finally, this system may work in background and handle 'research' search queries. What I mean here: currently, Google is about instant search - it gives you results in milliseconds, and that's all. It cannot spend much computations for more precise, more intellectual check of content in links from the search results - it cannot do reasoning - and you have to do that by yourself: open links from 1-st page, and close most of them immediately b/c they are not relevant for you, go to 2-nd page and so on. It would be cool if most of this could be automated - with modern natural language processing approaches and old-school prolog-like reasoning this is real and not a fantastic from sci-fi.
My vision that this kind of search assistant cannot be SaaS / closed source. It is about the freedom - and thus this should be open source / self-hosted app that can be deployed on PC or on cloud VM - but hosting should be controlled by end-users, not companies.
I don't know if something like this ever exist. If not, maybe its time to create it.
* when you make a query to this knowledge base, it has a history of your prev searches / preferences (not google)
* it can propose variants of suggestions on what is your intent in this particular query - and make much more detailed queries (auto include/exclude keywords websites etc) to multiple sources (not only google, maybe anonymously)
* it can parse results from these sources and re-arrange them (use own rank system) according to the your preferences. In this system, you can explicitly say - I hate that, and I like that, and this will affect the behavior. Yes this is 'information bubble' but it is controlled by you and not by google!
* finally, this system may work in background and handle 'research' search queries. What I mean here: currently, Google is about instant search - it gives you results in milliseconds, and that's all. It cannot spend much computations for more precise, more intellectual check of content in links from the search results - it cannot do reasoning - and you have to do that by yourself: open links from 1-st page, and close most of them immediately b/c they are not relevant for you, go to 2-nd page and so on. It would be cool if most of this could be automated - with modern natural language processing approaches and old-school prolog-like reasoning this is real and not a fantastic from sci-fi.
My vision that this kind of search assistant cannot be SaaS / closed source. It is about the freedom - and thus this should be open source / self-hosted app that can be deployed on PC or on cloud VM - but hosting should be controlled by end-users, not companies.
I don't know if something like this ever exist. If not, maybe its time to create it.