In the piece “Breaking Medium’s Source Code,” Sriram uncovers the troubling issue with Medium’s algorithm and AI detection tools, which are mistakenly flagging legitimate human-written content as machine-generated. The story centers around Dr. Mehmet Yildiz, who shared a shocking revelation about his doctoral thesis from the 1990s being flagged as 92% AI-generated by an AI detection tool. This sparked outrage among writers, who have experienced similar issues, with their hard work unfairly marked as spam or AI-created, despite being 100% human-written.
The piece delves into the mysteries of Medium’s algorithm, which combines AI tools and proprietary methods to detect AI-generated content. However, no detection system is flawless, and many writers are suffering from the algorithm’s failure to accurately differentiate between human and machine-made work. Examples like Dr. Yildiz’s farewell story, which was flagged as AI-written, highlight the growing frustration among contributors. The issue extends to other writers, including Mike Broadly, whose heartfelt post was flagged as AI-generated, leading to further disillusionment with Medium’s system.
Sriram raises important questions about Medium’s reliance on these flawed detection tools, which undermine trust between writers and the platform. The story calls for greater transparency in how Medium’s algorithm operates and advocates for a shift in how content is evaluated. With a growing community of writers speaking out, the article encourages creators to take a stand and demand better treatment for their hard-earned work, urging Medium to make meaningful changes to its AI detection systems.
You can read the details of this story on Medium.
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