
RSS co-creator was prosecuted for scraping while Meta does it with little consequence
A blog post compares the criminal case against RSS co-creator Aaron Swartz with Meta's use of vast book datasets for AI training, arguing that the two were treated very differently.
A blog post published on 19 August on quailblog, the personal site of a developer known online as Curious Quail, compares the criminal prosecution of one of the co-creators of the RSS protocol with the scrutiny Meta faces over the use of book data in AI training. The entry, titled "I'm Upset Again About a Co-Creator of RSS Being Prosecuted For Something Meta Is Doing With Little Consequence", is an opinion piece and presents no new documents or court filings.
Two cases, two standards
The author recalls that Aaron Swartz, described in the post as one of the co-creators of RSS, was prosecuted for downloading roughly 70 gigabytes of academic articles from JSTOR. According to the post, the charges were so heavy — up to 35 years in prison, a 1 million US dollar fine and asset forfeiture — that he took his own life rather than face the court process and the prospect of financial ruin.
Meta, the post continues, torrented 80 terabytes of books to train its AI models "with virtually no consequences other than a court case" that the writer expects to end in some form of financial penalty while the models keep generating revenue.
Intent and scale
The central argument rests on intent. In the author's reading, Swartz's purpose was the dissemination and archiving of knowledge, while Meta's is to power its own proprietary AI systems. "I never met Aaron but I get mad on his behalf so often and I don't know what to do with it other than get more radicalized," the post says.
The entry is part of the writer's Blaugust series of daily posts and carries tags including #aaron swartz, #ai and #the luddites were right.
Why the comparison circulates
Because the text is a personal essay rather than reporting, it adds no new legal facts to either case. Its argument — that an individual faces far heavier consequences for sharing knowledge than a corporation does for using data at a vastly larger scale — remains a recurring theme in developer and open-web communities.
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