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,...
Key points
- 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.
- Substack adds an AI detector to help spot blogs written by no one The new tool can pick up on ‘Claudefishing’ across posts, comments, notes, and replies.
- The new tool can pick up on ‘Claudefishing’ across posts, comments, notes, and replies.
What happened
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. Substack adds an AI detector to help spot blogs written by no one The new tool can pick up on ‘Claudefishing’ across posts, comments, notes, and replies. The new tool can pick up on ‘Claudefishing’ across posts, comments, notes, and replies. 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. Best notes that “Pangram can only detect whether AI was used to make the text, not whether great human care went into creating it, nor whether AI tools were used as a source.” But the goal, according to Best, is to make it easier for someone to choose to invest their time reading a blog post.