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VP of Engineering Tim Jurka confirmed LinkedIn now screens all posts distributed beyond immediate connections with classifiers trained on over one million member reports. Generic content loses reach, not visibility.
LinkedIn VP of Engineering Tim Jurka announced on 8 October that the platform's AI-slop classifiers now check every post distributed beyond your immediate network, with 94% precision at detecting generic content.
The change is already measurable. The platform's "seems like AI slop" report button drew over one million uses in its first three weeks, and members are experiencing 40% fewer views on content LinkedIn classifies as AI slop.
This is not a ban on AI-written posts. Jurka defined AI slop as "generic and/or repetitive posts that added no real insight". The distinction matters: content flagged as generic is suppressed in recommendations beyond your first-degree connections, but it is not removed from the platform or hidden from your followers.
LinkedIn uses what it calls a teacher-student setup, training its detection models on feedback from the AI slop report button. Hard cases go to human reviewers, and the system learns from the guidance they provide.
The platform runs AI agents, each guided by a specific policy, that look at factors such as whether a post is promotional, celebrates an achievement, or is timely.
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