AI content is everywhere on social media, especially LinkedIn

Pangram doesn't work, and I wish people would stop treating it as gospel (but the AI/anti-AI grift is real). Here's a fun paradox: I can literally tell ChatGPT: "Say X" and it will say "X"—so that's a case where content is both AI generated and not. What if it changes a few words? Moves some sentences around? Where does something go from human- to AI-generated? (This is the classic Sorites paradox.)

Pangram tries to look for common patterns (rule of three, em dashes, etc.) but these are heuristic methods and not to be taken as gospel. There is no provable method to make a distinction between AI and human-generated other than the fact that AI-generated text tends to reek of pseudo-intellectual undergrad with a thesaurus.

money/power will not be involved in the next election? Not sure if I completely follow your comment.

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Product and service reviews are completely useless now too, and have been for a while. Restaurant ratings are pure noise, everything is 4 stars and there is absolutely no correlation to the quality of food or service. None of it is real.

It's bleak out there, on the internet.

My feeling is that it interferes a lot with "the social media algorithms" and hence with the "infinite wall of random stuff from people you don't know".

In the last few years I have been going back to RSS feeds, subscribing to blogs I like. What I lose there is that I don't get suggestions for blogs I don't already know.

I genuinely wonder if there could be an opportunity for webrings there. Like blogs could have an RSS feed of "blogs I follow" by the author, and I could choose to follow them or at least visit them and selectively subscribe.

The thing is that many times, there is one article I like in a blog but not necessarily the rest. So more than "blogs I follow", it could be "articles I liked". So that if I subscribe to the RSS feed of someone, I get exposed to articles they "bookmarked", and eventually it can help me discover blogs I want to subscribe to.

Or maybe it all exists already. Or used to exist, probably.