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Chronicles

The story behind the story

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Google's Search Generative Experience seems like an “AI plagiarism engine” that cobbles together snippets of text from a variety of sites, often word-for-word

The Search Generative Experience seems more like a text-copying experience.  —  Search has always been the Internet's most important utility.

Tom's Hardware Avram Piltch

Context & Ripple Effects

Tom's Hardware's 'plagiarism engine' charge lands one week after The Verge's hands-on with SGE found slow answers, a cluttered UI, and error messages on simple queries — so the criticism targets both how Google builds its AI answers (verbatim snippet assembly) and whether they work at all. The stakes sit with publishers: by December, some estimated SGE could cut their referral traffic by 20% to 40%, meaning word-for-word copying isn't just an attribution gripe but a direct threat to the search-referral economy.

First-order effects

  • Sites whose text is lifted verbatim into SGE answers lose the click-through that currently compensates them for the content, while bearing the hosting and reporting costs of producing it.
  • Google faces a credibility problem on two fronts at once: the copying allegations give critics an attribution argument to pair with the usability failures already documented in early reviews.

Second-order effects

  • The 20%-to-40% referral-loss estimate gives publishers leverage to demand licensing deals, opt-out controls, or traffic guarantees before SGE ships broadly — turning content syndication terms into a negotiation rather than a default.
  • Rivals building AI answers face pressure to differentiate on sourcing transparency, since 'cobbled-together snippets' becomes the attack line against any answer engine without clear citation practices.

Third-order effects

  • If the pattern holds through later moves like Google's experiment replacing news headlines with AI-generated ones, the endpoint is search presenting machine-assembled summaries of journalism while the underlying outlets shrink — a structural transfer of value from content creators to the interface layer.
  • Attribution and compensation for training-and-surfacing content hardens into a regulatory and standards question for all answer engines, not just Google, as the copying complaint generalizes beyond one product.

The trend: Search is shifting from ranking links to generating answers from publishers' own text, and the unresolved fight over who pays for those words will define the next era of the open web.

Discussion

  • @tponl @tponl on x
    This is how how Artificial Intelligence integrated in Google Search will completely destroy the internet as we know it. If you are a publisher or site owner, read and weep. And be afraid. Be very afraid: https://www.tomshardware.com/ ...
  • @smashdawg Jeremy Kaplan on x
    Well put indeed, ⁦@geekinchief⁩!! “Until the bot grows a pair of hands and opens its own lab space, it will never test CPUs. Until it opens a kitchen, it will never have its own family recipes. The only thing it can cook up is a plagiarism stew.” https://www.tomshardware.com/ ...
  • @textually Emily Turrettini on x
    If Google follows through with its current iteration of SGE, it will damage the quality of its own service. Eventually, users would start looking for a better service. But by that time, the damage done to the entire web info ecosystem could be irreparable. https://www.tomshardwar…
  • @neilturkewitz Neil Turkewitz on x
    “Instead of highlighting links to content from expert humans, SGE uses an AI plagiarism engine that grabs facts & snippets of text from a variety of sites, cobbles them together (often word-for-word) & passes off the work as its creation.” —@geekinchief https://www.tomshardware.c…