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The rise of 'conspicuous waiting': The 19th-century economic theory that explains why Gen Z posts their place in line

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Tim Cook signed off on his final Apple earnings call with a warning about a ‘100-year flood’ in memory chip pricing

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He worked 100-hour weeks to save a nearly bankrupt boat company. At 83, he’s just turned down $400 million for it—and gave it all to charity instead
CybersecurityLinkedIn

LinkedIn adds a ‘seems like AI slop’ button after blocking billions of automated comment attempts in the last few months

Marco Quiroz-Gutierrez
By
Marco Quiroz-Gutierrez
Marco Quiroz-Gutierrez
Reporter
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Marco Quiroz-Gutierrez
By
Marco Quiroz-Gutierrez
Marco Quiroz-Gutierrez
Reporter
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July 31, 2026, 6:32 PM ET
LinkedIn is also removing its “enhance your post” tool, replacing it with a feature that proofreads posts without changing a user’s voice, while reinforcing profile and page verifications.
LinkedIn is also removing its “enhance your post” tool, replacing it with a feature that proofreads posts without changing a user’s voice, while reinforcing profile and page verifications. Klaudia Radecka—NurPhoto via Getty Images
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While the rest of the online world is increasingly being shaped by AI, LinkedIn is making it easier to flag any low-quality “AI slop” that has crept its way onto the platform.

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On Thursday, the professional networking platform added a “Seems like AI slop” button, which will appear when a user clicks on the options button on a post, and will help users flag posts they believe are low-quality or overreliant on AI.

“Slop is hard to define and the definition changes; this lets us tune our models and make better feeds,” said LinkedIn chief product officer Hari Srinivasan in a post announcing the feature.

The company is also removing its “enhance your post” tool, replacing it with a feature that proofreads posts without changing a user’s voice, while reinforcing profile and page verifications. In addition, LinkedIn has stepped up its bot detection. 

Srinivasan said the company detects and blocks hundreds of thousands of automated slop comment attempts every day, and has prevented “billions of other automation attempts (posting at scale, slop) in the last couple months alone.”

At the same time, he clarified that using AI isn’t always bad, noting that many people refine their thoughts with AI and that the new “AI slop” tool would also let users know when their post sounds “inauthentic.” 

“AI slop is a top priority for all of us. We really care about this,” Srinivasan said in his post Thursday.

LinkedIn’s new feature comes as AI-written content has proliferated online since the release of ChatGPT in 2022. A recent study by AI text detection tool Pangram found 40% of long-form posts and 30% of short form posts on LinkedIn were flagged as fully AI-generated.

When reached for comment, a LinkedIn spokesperson directed Fortune to Srinivasan’s public post.

Cracking down on AI slop

Other companies have started cracking down on AI-generated content as well. 

Snapchat on Friday announced it would no longer recommend fully AI-generated videos through its Spotlight feature, which highlights videos from users across the app. The new restriction will not apply to videos that were edited or enhanced using Snapchat’s own AI creative tools, though these videos will include transparency indicators, the company added.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company said in a statement. 

Other companies have gone in a different direction. Meta has leaned into AI-generated content by developing its own family of generative media models. 

Earlier this month, the Facebook and Instagram parent launched Muse Image, which can create AI-generated images based on a variety of references, “including people, objects, clothing, styles, and environments,” the company said in an announcement. 

Alongside Muse Image, it also released a preview of Muse Video, which allows users to create AI-generated video. Images created with Muse Image include an invisible watermarking system called “Content Seal” to identify them even if they are cropped, resized, or screenshotted. The company plans to extend its “content seal” system to Muse Video soon, it said in an announcement.

During Meta’s second-quarter earnings call this week, CEO Mark Zuckerberg said Muse Image and Muse Video would “dramatically expand the universe of content that people can discover across our platform.”

“This is going to make our services a lot more useful and engaging for people,” he said during his prepared remarks.

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