The Scraper Who Became an Ally: How One AI Researcher Went From Raiding Art Platform Cara to Building Protection

Photographer Jingna Zhang and a volunteer team have spent more than a year building Cara, an artist-friendly social platform designed as an alternative to Instagram—one where creators won't find their work automatically harvested for AI training. The platform has grown to roughly 1.5 million users seeking protection from unauthorized data scraping. But in mid-August, Cara suffered three separate mass data harvesting incidents that exposed the fundamental difficulty of defending any platform from determined scrapers.

The Scraping Campaign#

The first incident came when a programmer using the handle MandarinDawnPoppy994 posted a 12-terabyte archive containing 12 million images—essentially Cara's entire publicly available collection—on Reddit's r/DefendingAIArt forum. In a since-deleted post, the scraper described it as "a fun project" costing less than $10, unwittingly sparking waves of copycat attacks. Two additional scrapers soon followed, pulling millions of links and uploading them to platforms like Hugging Face and Academic Torrents, some including sensitive user metadata like personal bios and usernames.

The incidents overwhelmed Cara's modest infrastructure and prompted Zhang to launch a GoFundMe seeking $120,000 for legal strategies—a campaign that has raised over $100,000 as of publication. Many devastated artists deleted their entire portfolios from the platform entirely.

The Unlikely Reconciliation#

What makes this story unexpected is that the original scraper experienced a profound shift in perspective. After confronting him and making clear the emotional harm his action caused, Zhang found he was genuinely remorseful. The programmer, who uses the pseudonym "Heft" and requested anonymity due to threats, revealed he had never intended to make the dataset public and was shocked by the panic attacks and portfolio deletions his Reddit post provoked. In direct conversations with affected artists, he came to understand how personally meaningful their work was and how deeply they valued ownership.

"I missed the consequences that this would have beyond causing a bit of anger," Heft told WIRED. He has since joined Cara's Discord server as a troubleshooter, explaining to Zhang and her team precisely where technical defenses fail.

Lantern: A Post-Facto Solution#

Rather than pursue punitive measures, Heft and Zhang have begun collaborating on Lantern, an open-source tool that represents an acceptance of an uncomfortable truth: no website can be made truly unscrapable. Instead of blocking scrapers—an essentially impossible task—Lantern takes a different approach. It creates a "one-way fingerprint" for each artwork without storing the image on Cara's servers, then regularly scans publicly available AI datasets. When an artist's work is discovered in a training dataset, the tool notifies them with a link so they can request removal or file a takedown notice.