The post lays out a blunt case of online plagiarism. A site operated by Qontour, a design agency, appears to have republished the full text of The Dictionary of Obscure Sorrows by John Koenig inside an official-looking website, dressed it up with AI-generated artwork and Claude-written copy, and pointed users to the real book through Amazon affiliate links. The core complaint is not subtle model training or style mimicry. It is wholesale copying of a copyrighted book into a search-friendly web property that can siphon traffic, attention, and affiliate revenue while looking more polished than the author’s own presence.
Most people reading it did not buy the idea that this is mainly an "AI story." They saw AI as an accelerant, not the underlying offense. The theft is the 1:1 republication and deceptive packaging. The AI angle matters because it slashes the cost of producing convincing knockoff wrappers around stolen work, whether that is books, software, or indie games. Several people pointed to the same pattern showing up elsewhere, where scraped or
decompiled material gets turned into fake fan sites, unofficial game portals, or relicensed software with just enough remixing to muddy provenance.
The sharpest practical discussion was about enforcement. Some insisted this is exactly what the
DMCA exists for, but the useful detail was that takedowns only really work when the host, registrar, or search engine treats the notice seriously, and when the rightsholder is prepared to sue after a counterclaim. That leaves small creators in a bad spot. Infringement costs are collapsing, while the cost of proving ownership, filing notices, and escalating to court remains stubbornly high. A few commenters pushed back that the system still gives publishers plenty of tools if they move fast, but the broader mood was that legal rights on paper are not the same as practical protection when platforms optimize for scale and risk management.
Another side thread landed on a narrower but revealing point about monetization. The bootleg site linked to the real Amazon listing, not a counterfeit edition, using an
Amazon Associates tag. That made the scam feel less like classic piracy and more like parasitic
SEO. Copy the work, capture search traffic, wrap it in AI slop, then skim referral fees from people who would likely have found the original anyway. That framing made the story feel less exceptional and more like the next cheap growth hack. The comments ended up treating this as a preview of a broader market failure. As copying gets automated, the scarce resource is not content creation but enforceable identity, distribution control, and the budget to defend them.