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 open-source Chrome extension named Slop Mop has been created to help users identify and flag low-quality writing on LinkedIn. Created by AI enthusiast Tom Frazier, the extension relies on nine indicators derived from research by SEO firm Graphite Growth to detect AI-generated content and other types of low-value writing. These signs include posts that stop users from scrolling, use hype words, make empty promises, contain overly flowery language, and employ other rhetorical tricks that are commonly used in AI-generated writing.
The extension also poses two additional questions to ensure that quality content is not unfairly flagged. With no signup or cost required, Slop Mop aims to identify and hide posts that don't meet a quality threshold, whether they were written by humans or AI. Despite its name, the extension is not an AI detector but rather a filter for eliminating low-quality content.
Frazier's primary motivation for creating Slop Mop was to experiment with Jev, a new probabilistic decision AI model from TypeSafe. With no restrictions on the number of posts that can be analyzed per day, Slop Mop could become a cost-effective solution for improving the quality of LinkedIn content.
Written by urgent.news from The Register's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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