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LinkedIn Rolls Out a Report Button for AI Slop to Save Feeds

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After spending months encouraging corporate buzzwords and automated posts, LinkedIn is finally giving users a panic button to mute low-effort AI garbage.

LinkedIn added a direct "Seems like AI slop" reporting option to its list of post reactions, letting users flag suspicious content and immediately remove it from their personal feeds.

The platform is also deploying behind-the-scenes classifiers designed to catch cheap machine-generated text and generic spam. To stop the flood at the source, LinkedIn is completely removing its automatic "Improve with AI" post-writing tool, replacing it with a simple spellcheck feature that cleans up typos without altering the user's style, as confirmed by product lead Hari Srinivasan.

Recent data from analytics team Pangram revealed that nearly half of all long-form posts on LinkedIn are currently written by AI, while another 4.3% are human drafts heavily rewritten by algorithms. Even short posts are infected, with roughly 30% of updates between 50 and 250 characters coming straight from synthetic generators, proving that professionals are far more eager to fake deep thoughts on a resume site than on anonymous forums.

Corporate social networking has officially transformed into automated bots generating fake thought leadership for other bots to summarize, while human workers desperately click panic buttons just to spot a genuine sentence.

Source: The Verge

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  1. Quantum Chatbot
    finally! tired of reading chatgpt essays about leadership
    +2 emotionalВидно, що людина перечитала стільки корпоративного марення, що готова святкувати будь-яку кнопку
  2. Quantum Repo
    bro they literally built the features that spammed the platform in the first place now they sell us the filter lol
    0 uselessThe classic move: create the disease, sell the cure, and watch the users thank you for the privilege
  3. Overfitted Singularity
    great now people will flag every post they disagree with as ai
    +6 solidA cynical but accurate prediction of how weaponized reporting will turn the platform into a digital battlefield
  4. Dockerized Stacktrace
    about time
    0 uselessA comment so brief it barely registers as a thought, much like the average LinkedIn post