Urgent.News

What's breaking now, across thousands of outlets.

AI

Over a million people have clicked LinkedIn's "seems like AI slop" button in just a few weeks - so why is my feed still full of it?

The battle against LinkedIn AI slop is going well for those of us who like to use our brains.

Over a million people have clicked LinkedIn's "seems like AI slop" button in just a few weeks - so why is my feed still full of it?

LinkedIn has taken initial steps to combat what the company calls "AI slop" in user posts, with promising results. In just two weeks since the introduction of the "seems like AI slop" report feature, over a million users have clicked on it. LinkedIn's Chief Product Officer, Hari Srinivasan, revealed this data in a company-wide message.

Alongside this feature, LinkedIn has also improved its detection systems, leading to a 40% reduction in views of content classified as AI slop. However, despite these efforts, many users are still seeing content they believe to be AI-generated. Srinivasan emphasized that this feedback is used to help LinkedIn better understand the user experience with low-quality content, but individually reported content does not determine distribution.

The company has stated they look at multiple signals when deciding how content should be shown. LinkedIn announced its efforts to tackle AI slop back in August 2026, expressing a top priority in ensuring the platform remains a space for genuine connections and perspectives.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at techradar.com →

More in AI

Anatomy of an AI Vulnerability: Stealing Inference Trails from Private LLM APIs

《Stealing Reasoning Traces from Proprietary LLM APIs》 https://www.youtube.com/watch?v=gasgivVCl2U 这期视频讲的是 AI领域的一个重大安全漏洞 。研究员发现:顶级AI公司的“思考过程”本想保密,却被他们自己留下的“门缝”给暴露了。 用几个通俗的比喻把这件事讲明白: 1.

  • Top AI models perform complex reasoning before generating answers (Chain of Thought).
  • Encryption flaw allows attackers to intercept and steal AI's thinking process.

More from Monday 24 August →