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New OpenAI tool renews fears that “AI slop” will overwhelm scientific research

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On Tuesday, OpenAI released a free AI-powered workspace for scientists. It’s called Prism, and it has drawn immediate skepticism from researchers who fear the tool will accelerate the already overwhelming flood of low-quality papers into scientific journals. The launch coincides with growing alarm among publishers about what many are calling “AI slop” in academic publishing.

To be clear, Prism is a writing and formatting tool, not a system for conducting research itself, though OpenAI’s broader pitch blurs that line.

Prism integrates OpenAI’s GPT-5.2 model into a LaTeX-based text editor (a standard used for typesetting documents), allowing researchers to draft papers, generate citations, create diagrams from whiteboard sketches, and collaborate with co-authors in real time. The tool is free for anyone with a ChatGPT account.

“I think 2026 will be for AI and science what 2025 was for AI in software engineering,” Kevin Weil, vice president of OpenAI for Science, told reporters at a press briefing attended by MIT Technology Review. He said that ChatGPT receives about 8.4 million messages per week on “hard science” topics, which he described as evidence that AI is transitioning from curiosity to core workflow for scientists.

OpenAI built Prism on technology from Crixet, a cloud-based LaTeX platform the company acquired in late 2025. The company envisions Prism helping researchers spend less time on tedious formatting tasks and more time on actual science. During a demonstration, an OpenAI employee showed how the software could automatically find and incorporate relevant scientific literature, then format the bibliography.

But AI models are tools, and any tool can be misused. The risk here is specific: By making it easy to produce polished, professional-looking manuscripts, tools like Prism could flood the peer review system with papers that don’t meaningfully advance their fields. The barrier to producing science-flavored text is dropping, but the capacity to evaluate that research has not kept pace.