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This article focuses on Substack's integration of an AI detection tool by Pangram to address transparency issues regarding human versus AI-generated content. While the feature involves a consumer platform, its primary subject is the emerging societal and trust-related implications of generative AI in professional writing ecosystems. The rollout highlights how industry leaders are grappling with "Claudefishing" and maintaining authorship integrity as LLMs become ubiquitous tools for creators.
Substack adds an AI detector to help spot blogs written by no one
Substack will now help users determine whether what they're reading may have been written by AI. A new tool coming to the platform can scan posts, notes, replies, and comments to provide an estimate of how much text could be AI-generated or written with AI assistance, according to a blog post published on Tuesday. The tool is powered by an AI detection company called Pangram and is rolling out across the web and the iOS app, with an Android launch coming "soon." Readers can analyze content longer than 100 words by choosing the "Scan for AI text" option from the three-dot menu in the top-right corner of a post. Substack cofounder and CEO Ch … Read the full story at The Verge.
is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO. Substack will now help users determine whether what they’re reading may…
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