AI AND ML<\/p>\n
Or: Shock as users of world’s largest slop repository report lots of slop<\/p>\n
More than 1 million LinkedIn users have clicked the newish \u201cSeems like AI slop\u201d button since the social network launched it at the end of July.<\/p>\n
Hari Srinivasan, LinkedIn\u2019s chief product officer, said that compared to the period before launching the AI slop reporting button, those who copy-paste AI-written posts are seeing around 40 percent fewer views.<\/p>\n
\u201cDespite the progress, we know we have more to do to ensure LinkedIn remains a place where you can find real people and real perspectives… this all remains very top of mind,\u201d he said<\/a>.<\/p>\n No single piece of feedback is used to adjust how widely a post travels, inside or outside a user\u2019s network, he said, and distribution is determined by a range of signals.<\/p>\n Srinivasan added that users will also start seeing messages in their analytics dashboards to understand how viewers are receiving their posts. If people think there\u2019s too much AI use, the platform will relay that to the user.<\/p>\n Any logged-in user can report a post for suspected AI slop using the platform\u2019s three-dot option menu.<\/p>\n The CPO made it clear in his initial announcement<\/a> of the reporting button that there is a difference between AI and \u201cslop.\u201d\u00a0LinkedIn believes people have a right to continue using AI to, ironically, make themselves sound more authentic.<\/p>\n Regardless of what some may think<\/a> about the button being used to train AI itself – rather than LinkedIn\u2019s users – on how to sound more human, the company also wants the white-collar social media tryhards making these posts to get human feedback instead of an automated AI detector.<\/p>\n Srinivasan said that, behind the scenes, LinkedIn is working on an array of automatic detection mechanisms for AI slop content.\u00a0<\/p>\n Prior to launching the slop button, the platform had used these detections to catch hundreds of thousands of AI-slop comments each day, and \u201cbillions of other automation attempts,\u201d such as slop posts and posting at scale, \u201cin the last couple of months alone.\u201d<\/p>\n As part of the war against slop, Srinivasan also announced in July that LinkedIn was removing its AI-driven \u201cenhance your post\u201d feature that made posting slop all the more simple. It replaced the feature with a proofreader.<\/p>\n In announcing \u201cslop\u201d as its word of the year for 2025, Merriam-Webster noted that the term relates to a broad range of lazily compiled content.\u00a0<\/p>\n Fake news can be slop. Social media posts, on LinkedIn and X especially, can be slop. Propaganda spread by the US president<\/a> can be slop. Institutions as treasured as UK pubs stand accused of sloppy practices<\/a>, and pretty much everything in between \u2013 AI slop pervades the modern world.<\/p>\n In the security space, AI slop bug reports<\/a> have been a recurring issue. The nature of the headache, however, has changed.\u00a0<\/p>\n