Substack is introducing a new feature designed to help users identify content potentially generated by artificial intelligence, specifically targeting what the platform terms ‘Claudefishing.’ This tool will scan various forms of content, including posts, comments, notes, and replies, to provide an estimation of the proportion of text that might be AI-written.
According to a blog post published on Tuesday, Substack's new AI detection capability is powered by Pangram, an AI detection company. The tool is currently rolling out across the web and iOS application, with an Android launch anticipated "soon." Readers can access this feature by selecting the "Scan for AI text" option from the three-dot menu found in the top-right corner of a post, applicable to content exceeding 100 words.
Substack co-founder and CEO Chris Best stated that the integration of Pangram aims to enhance transparency on the platform, especially as AI-generated content becomes increasingly prevalent across social media. Best clarified, “The core problem is not people using AI, or the quality of its output. The problem is when there is a mismatch between a reader’s expectation and reality, especially when they unwittingly invest their attention in something with no human thought on the other end. That’s Claudefishing.”
In conjunction with this new detection tool, Substack will also empower creators to offer readers insight into their writing process through a dedicated “How I make this” statement. Writers will similarly have the ability to scan their drafts using Pangram and can report any inaccurate results produced by the tool.
Best emphasized the limitations of the technology, noting 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.” Nevertheless, the primary objective, as articulated by Best, is to enable readers to make informed decisions about where to invest their time. He further stressed the importance of trust in authorship, stating, “When readers have to wonder if what they’re reading is real, it undermines trust in authorship and threatens the livelihood of writers — including those who use AI tools thoughtfully to produce work they believe in. Platforms that reward fakeness will create a race to the bottom.”
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