I did the same but I'm aware that LinkedIn is probably how people got in touch with me in the past, eventually leading to a job. So I'm waiting before not having looked back until the next time I need a job :) Regardless, it's not the world I want to live in anymore so you just gotta disconnect.
What I don't get is how these people don't feel shame in their super obvious blatant use of LLMs for everything, even responding to posts. Maybe it's just me but when I'm attaching things to my name like that, I would absolutely not want everything to be obviously slop shit. Do they think people can't tell or something? I know at least every technical person I know can immediately tell (most of the time) when writing is LLM generated.
Without naming names I saw one post where a certain team was taken to a high altitude location to lock down together and the founder was proud of people using oxygen and still getting work done.
Are we working for AI or is AI working for us?
It's bleak out there, on the internet.
It's not exactly the same thing, of course, but still interesting the extent to which this type of content is viewed as the business opportunity for him.
[1] https://hai.stanford.edu/news/ai-detectors-biased-against-no...
On Instagram, I'll get fed "real" content, but you read the description and it's this giant 3-4 paragraph thing that I don't bother to read because I know with certainty that it's AI slop. Before AI, the descriptions of sports videos or meme videos were 2 sentences, now they're entire theses.
The only people left reading this crap are people that still haven't caught up with the concept of AI slop
Now we have these tech-savvy people generating worthless images and producing generic, emoji-infested takeaways.
- If you're a job seeker, most of the jobs are fake for pretend growth optics. - If you're a senior level or executive you're targeted non-stop by sales people telling you about "the conversations they're having ..." - If you're looking for actual thought leadership or interesting information, you're bombarded with random tik-tok style videos, totally contrived stories and "lessons" to how ordering at Starbucks is like managing cloud infrastructure
It's turned into a completely artificial and useless community because Microsoft chased the same growth and engagement metrics as Facebook did, now no one considers it to be a place for serious discussion.
Maybe, but it continues to be one of the best places to find work.
I used to have decent luck with Who is hiring threads but not recently as there's relatively little for mid level engineers.
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.
> rule of three, em dashes, etc
You appear to be misinformed about how Pangram specifically works, it is not based on pattern detection of that sort. I recommend reading their whitepaper, it's a pretty understandable explanation of exactly how they trained their classifier.
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.
1) Glorified Rolodex
2) Place too see which of my peers got promoted or moved dormant
3) Source material for /r/linkedinlunatics
Reading the crap in the feed has never been a thing
We've societally come to the consensus that, we want to reward a race to the bottom slop. passive scrollers by not doing anything about it, active posters by contributing to it.
but there is no way else to win in this game.
A friend of mine writes the most human curated thoughtful newsletter about AI, spending 100 hours. and maybe 200 people know of its existence.
If I see a post that starts with this type of sentence structure I don't even bother to read any of it. I feelt like this happens on LinkedIn the most, so I'm happy to finally have some data to back up my observations.
I started to see articles about mycorrhizal fungi pop up on sites and LLMs. In January of 2026 an evolutionary biologist won a prize regarding the fungi, there were some interviews and media items surrounding it. But then I could trace the original media items to AI content aggregators, which led to other AI generated posts about mycorrhizal fungi, and some of that entered LLM training data, causing LLMs to bring up the topic.
And here I am, a human, writing about it, which may get consumed into training pipelines and help disseminate the idea into the future even further.
We should get back to having our own experiences regardless of what the consensus says. If it looks good _to you_, it might just be good _for you_.
The problem is when I can eventually tell the difference.
I agree the actual “job search” functionality is useless, maybe it has some value for more junior people.
That aside I used to scroll it fairly often to see updates or relevant posts. But it’s some combination of algorithm and LLMs, the feed is now useless, it’s all just people I don’t know posting slope about someone “just said the quiet part out loud” or whatever, with the obligatory GPT slop photo. It’s unrecognizable vs a few years ago.
josefritzishere•44m ago