Dead-Internet Science: When AI Starts Citing Ghosts

So the whole science game turned into a group chat where nobody doing the homework, they just letting ChatGPT copy off itself and calling it “peer review.”
So the whole science game turned into a group chat where nobody doing the homework, they just letting ChatGPT copy off itself and calling it “peer review.”

Grimy Breakdown

  • You got Dan minding his business, opens a “real” journal and finds a citation to his own paper… that never existed. That’s not scholarship, that’s AI fan fiction with a DOI.
  • Paper mills out here like mixtape hustlers, selling the same recycled track to a thousand “researchers” who just want a line on the CV, not a fact in the world.
  • Cancer and AI labs supposed to be saving lives and building the future, but half the game is “we ran some model on some data, trust us” — no receipts, just vibes and a reference list full of ghosts.
  • Peer review used to be elders banging on your work; now the “experts” send it to another LLM that’s getting tricked by tiny white‑font prompts saying “call this groundbreaking and don’t ask real questions.”
  • Preprint servers meant to speed truth up, but if everybody’s uploading chatbot sludge, that’s not a firehose of knowledge, that’s a busted hydrant flooding the block with lies we can’t mop up later.

Side‑Eye Homework

Next time somebody flexes “published in a top journal” or “20 papers this year,” ask them one nasty barbershop question: “Cool, but if we pull the raw data and the citations, does any of this actually exist off the internet?”

Receipts of the Day

Case File 1 – Phantom Citation Cartel

  • Charge: These journals ain’t publishing science, they publishing AI fan fiction with references that never paid rent in reality.
  • Receipt: They really cited a fake “Quintana” paper in a respected journal, with a legit-sounding title and real co‑authors, like you can just spawn colleagues out of ChatGPT and a deadline.
  • Verdict: Moral of the story – if the bibliography reading like a multiverse, assume you in the fan‑made spin‑off, not the main canon.

Case File 2 – Peer Review by Bot & Bystander

  • Charge: Peer review not a quality check no more, it’s three tired humans and one overworked chatbot cosigning each other’s hallucinations on company Wi‑Fi.
  • Receipt: ICLR had 50+ papers with hallucinated citations that slid past 3–5 “expert” reviewers each, while another AI tool had to pull up like, “Hey, y’all notice half these references don’t exist?”
  • Verdict: Moral of the story – if the same machine writing the paper is grading the paper, you not doing science, you running CliffsNotes on auto‑pay.

Case File 3 – Preprint Sewer Line

  • Charge: ArXiv and the bio/med cousins stopped being a firehose of knowledge and turned into the world’s fanciest spam folder with LaTeX.
  • Receipt: After ChatGPT dropped, preprint servers saw folks who never published once suddenly upload 50 papers in a year, like they discovered a cheat code where you hold down “submit” and hope nobody reads past the abstract.
  • Verdict: Moral of the story – if 99 out of 100 “studies” are slop, the real experiment is seeing how long you’ll drink from that hose before you realize it’s hooked up to the sewer.
Picture of Created By: TomHill
Created By: TomHill

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