V2 - Algorithmically Free Content Consumption Proposal (I will not promote except my own thoughts)

So here’s a very high level (yet to be implemented in any serious manner) idea that’s been on my mind. What do you think about a content consumption platform based on manual content curation and promotion? As a possible alternative to the ongoing platform enshittification phenomena?  The idea is that instead of a feed of content recommendations by a recommender engine, a platform can be designed in such a way that **incentivizes professional content curation by humans** who can better distinguish between good and bad content in the age of AI enshittification and furthermore the idea here is that as a third party, they’re also less susceptible to click bait headlines and other such promotion tactics that are systemic to algorithmic recommender engines.  (Although such claims would be based on what the users themselves self-select for.) For instance I remember back in the good old days there was this AI themed YouTube channel based on crappy TTS that some people actually liked. But then YouTube cracked down on TTS (at least the blatant obvious ones) which forced this channel to move to a more realistic voice that then killed the whole theme of the channel. A human would know enough to distinguish the good from the bad.  In general the idea is that these professional curators manually broadcast content to their subscribers feed, and then the platform decides how to best rank such suggestions in some context sensitive manner to accommodate between different types of information roles (such as for work related content consumption or for simple entertainment). On the UI/UX side of things, as a general software researcher I’d love to see some innovation on the presentation side of content recommendation, since if its going to be manually promoted, it may as well have some quality to it. For instance as someone who’s personally experimented with a multitude of ideas in note taking tools, my guiding principle thereto was to present vast information in as compact a manner possible, to utilize all available space in an adaptive manner which required a better markup format than mere markdown. While the notes themselves were ordered and organized hierarchically in such a manner that is as quickly navigable as possible. (I was also very much concerned about aesthetic appeal but I digress.) Overall this is where recommender engines fall flat. Although I can’t share links on here, rest assured there’s probably room on the presentation side of content recommendations.  Overall, the idea is for that **classic publication quality appeal** but for self-organizing the torrent of information on the internet, in a manner that is imperviousness to enshittification.  As they say, “Network hubs dominate system flows.” Such that some nodes will always have a disproportionate influence in the network. This platform just formalizes the whole gig.  At a personal note, as someone who’d love to build a platform that benefits writers by luring in their audience with the prospect of easy content consumption, IMO now is the time to build a platform that can **uniformly accommodate content of multiple modalities**, as a **single centralized distribution system**. Especially since greater centralization permits for content that is most effectively monetized.  **Also at a high-level, what other details are missing from the picture that I'm trying to paint?** I will not promote