Mop the slop from your LinkedIn feed with a new open-source Chrome extension
Jev-powered Slop Mop demonstrates another great use case for probabilistic, non-chatty AI model
A new Chrome extension called Slop Mop, created by AI enthusiast Tom Frazier, aims to help users navigate the overwhelming amount of low-quality writing on LinkedIn. Frazier released the extension on Tuesday and made its code available on GitHub for those who want to modify it.
The extension uses nine telltale signs of AI-generated content, derived from research by SEO firm Graphite Growth, to identify low-value writing, which could be written by either AI or humans. These signs include posts that stop users from scrolling, use hype words, contain no-catch promises, and employ flowery language. Frazier notes that the extension does not solely focus on AI-generated content, but also flags poor human content equally.
The extension does not require any signup and is completely free. It relies on a probabilistic decision AI model called Jev, which was released last week by TypeSafe. Frazier sees Slop Mop as a way to experiment with Jev and its capabilities in decision-making and context-aware analysis. The extension currently allows users to analyze up to 250 posts per day, and Frazier has implemented daily post caps to prevent his API key from being overused.
While it cannot definitively distinguish AI-generated content from human-written content, Slop Mop aims to filter out low-quality posts, whether AI-generated or not. The extension can be installed from the Chrome Web Store or directly from Frazier's GitHub repository.
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