Study Warn AI May “Flood” Literature With Synthetic Research - 1

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Study Warn AI May “Flood” Literature With Synthetic Research

  • Written by Kiara Fabbri Former Tech News Writer
  • Fact-Checked by Sarah Frazier Former Content Manager

AI is enabling the mass production of near-identical scientific papers that slip past plagiarism checks, raising concerns about the surge of low-quality academic publications.

In a rush? Here are the quick facts:

  • Researchers found 400+ redundant AI-generated papers in 112 journals since 2021.
  • ChatGPT and Gemini can rewrite studies to evade plagiarism detection.
  • Experts warn paper mills may exploit AI to mass-produce fake studies.

In a preprint posted on Nature , researchers revealed that 112 journals published more than 400 duplicate papers throughout the last 4.5 years.

These copycat studies, based on the US National Health and Nutrition Examination Survey (NHANES), reused the same data to report nearly identical findings.

“If left unaddressed, this AI-based approach can be applied to all sorts of open-access databases, generating far more papers than anyone can imagine,” says Csaba Szabó, a pharmacologist at the University of Fribourg in Switzerland.

“This could open up Pandora’s box [and] the literature may be flooded with synthetic papers,” Szabó added, as reported by Nature.

The researchers demonstrated how easy it is to misuse AI: they asked ChatGPT and Gemini to rewrite three redundant NHANES studies. “We were shocked that it worked straight away,” says co-author Matt Spick of the University of Surrey. The AI-written manuscripts evaded plagiarism detectors used by publishers.

“This shouldn’t be happening, and it doesn’t help the health of the scientific literature,” adds Spick.

Editors are worried that companies selling fake papers, also known as paper mills, could exploit this loophole. “These are completely new challenges for the editors and the publishers,” says Igor Rudan at the University of Edinburgh.

Publishers have started to implement new measures to address this issue. Frontiers flagged 32% of the identified papers saying these studies were published before their new integrity policies took effect. Springer Nature, whose journals carried 37% of the papers, vowed investigations.

“We take our responsibility towards maintaining the validity of the scientific record very seriously,” says Richard White, editorial director for Scientific Reports.

“AI-driven redundancy, in general, poses a serious and ongoing challenge to publishers,” says Elena Vicario, Frontiers’ head of research integrity.

Nvidia To Invest $100 Billion In OpenAI To Build Data Centers - 2

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Nvidia To Invest $100 Billion In OpenAI To Build Data Centers

  • Written by Andrea Miliani Former Tech News Expert
  • Fact-Checked by Sarah Frazier Former Content Manager

Nvidia and OpenAI announced a new partnership to build and deploy AI data centers on Monday. Nvidia will invest up to $100 billion in OpenAI for at least 10 gigawatts of capacity as the new NVIDIA systems are deployed.

In a rush? Here are the quick facts:

  • Nvidia and OpenAI announced a new partnership to build and deploy AI data centers.
  • Nvidia will invest up to $100 billion in OpenAI for at least 10 gigawatts of capacity.
  • The deal was also facilitated by meetings in the United Kingdom.

According to Nvidia’s announcement , the companies submitted a letter of intent for the new deal, and the first phase is expected to go online in the second half of 2026.

“This investment and infrastructure partnership mark the next leap forward—deploying 10 gigawatts to power the next era of intelligence,” said Jensen Huang, founder and CEO of NVIDIA

The new infrastructure is expected to accelerate AI development and strengthen the companies’ alliance, although the location for the new facilities has not yet been disclosed. OpenAI will prioritize Nvidia’s computing service and advanced hardware to develop its AI technology and groundbreaking models.

“Compute infrastructure will be the basis for the economy of the future, and we will utilize what we’re building with NVIDIA to both create new AI breakthroughs and empower people and businesses with them at scale,” said Sam Altman, cofounder and CEO of OpenAI.

According to CNBC , the agreement was reached after “a series of hurried negotiations” with no bankers involved, as reported by sources familiar with the matter. Huang described the deal as “monumental in size” and noted that Nvidia has agreed to invest $10 million at a time.

The deal was also facilitated by meetings in the United Kingdom during President Donald Trump’s visit, where both parties had the opportunity to discuss the project with key stakeholders. During the visit, Nvidia and OpenAI also announced new investments in the region .

“You should expect a lot from us in the coming months,” said Altman to CNBC. “There are three things that OpenAI has to do well: we have to do great AI research, we have to make these products people want to use, and we have to figure out how to do this unprecedented infrastructure challenge.”

Both companies are betting on the rapid adoption of AI and the potential of ChatGPT to expand with the support of the new AI supercomputing facilities.