In a recent LinkedIn post, Jason Feifer discusses the platform’s ongoing efforts to combat low-quality artificial intelligence-generated content, often referred to as ‘AI slop.’ Feifer highlights new features LinkedIn has introduced to allow users to report such posts and provide feedback to creators.
Feifer notes that LinkedIn is taking more significant steps to manage the influx of AI-generated content that can dilute the user experience. He explains the rationale behind these changes, emphasizing that the platform aims to curate a more human and connective environment.
“Slop is hard to define and the definition changes; this lets us tune our models and make better feeds.”
This new reporting mechanism, accessible via a three-dot menu on posts, is designed to help LinkedIn refine its AI models in identifying and reducing the reach of undesirable content. Feifer points out that this move signifies a more active approach by LinkedIn to address user complaints about the quality of content on the platform.
Addressing Creator Feedback
Beyond user reporting, Feifer highlights that LinkedIn is also implementing a system to privately inform creators when their work is flagged as potential ‘AI slop.’ This feature, integrated into their analytics, aims to provide creators with actionable feedback.
As Jason Feifer writes:
“If your work is accused of being slop, you’ll now get a private message about that in your analytics, so you can adjust.”
This direct feedback loop is intended to help creators understand how their content is perceived and encourage adjustments toward more original or higher-quality contributions, rather than simply penalizing them without recourse.
Refining AI Tools for Content Creation
Feifer also draws attention to LinkedIn’s adjustments to its AI-powered features. The company has retired the ‘enhance your post’ tool, which used AI to rewrite content, and replaced it with a simpler proofreading function.
According to Feifer, this shift indicates that LinkedIn’s objective is not to ban the use of AI altogether. Instead, the platform seeks to differentiate between generic, low-quality AI output and content where AI has been used as a tool to augment unique human insights.
Navigating the Complexities of AI
Feifer acknowledges that the company’s approach to AI content is a complex issue with no easy answers. He observes that user sentiment towards AI is often divided, with many embracing its utility while simultaneously expressing frustration with its overuse or misuse by others.
“There’s no perfect solution to this. People have always gamed social feeds, and their use of AI will constantly evolve.”
In Feifer’s view, the situation underscores the dynamic nature of social media platforms and the constant need for adaptation. He suggests that platforms like LinkedIn are in a continuous process of learning and evolving to foster genuine human connection amidst technological advancements.
He concludes by stating that while LinkedIn may not achieve perfection in its AI content moderation, its efforts to adapt and improve are noteworthy. Feifer emphasizes the ongoing quest to create the most human and connective online conditions possible.
📝 About This Content
This article is based on insights shared by Jason Feifer on LinkedIn.
📅 Originally posted on July 31, 2026 | View original post on LinkedIn →