With the rationale that "Science shapes nearly every part of daily life—from the medicines we rely on, to the energy that powers our homes, to the systems that keep us safe", OpenAI expressed concern that the tools used by scientific researchers were out of date, not having changed in decades. So, Prism embedded ChatGPT into the scientific writing process. Prism supports unlimited collaborators—no seat limits or access barriers.
Because it’s cloud-based, there’s no local LaTeX installation or environment management required, making it easier for teams to collaborate in a shared workspace. It promises to reduce version conflicts and manual merging, allowing research teams to spend less time on file management and more on their actual work.
Will Douglas, writing in MIT Technology Review, calls it vibe coding science. "The idea is to put ChatGPT front and center inside software that scientists use to write up their work in much the same way that chatbots are now embedded into popular programming editors. It’s vibe coding, but for science."
Although he thinks that OpenAI developed Prism after studying user behavior, particularly given how much of scientific research depends on coding, it could also be seen as an attempt to "lock in" the scientific community, now that there are so many chatbots on the market. Chatbots and LLMs are already in use within not only science, but other disciplines as well, for assistance in drafting their articles, summarizing other articles, manage citations (hopefully to eliminate hallucinated ones), create equations and diagrams, and brainstorm.
Some worry that Prism will encourage more "AI slop". Benj Edwards is one. At Ars Technica, he writes "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."
Outsell Inc’s CEO, Anthea Stratigos, considered in her blog what Prism might mean for scholarly publishing. By positioning Prism "upstream" from the value that scholarly publishers have long touted, that they bring discovery, evaluation, and operational workflows to the process, it can usurp that value proposition and fundamentally change the information industry. It moves the conversation beyond adding AI features to a potential inability to control content, ownership, and user access.
Whether Prism will enhance scientific research, lead to more poor quality published materials, or do damage to traditional scholarly publishing companies, it’s clear that scholarly communication librarians will need to assess the advantages and disadvantages of Prism because the researchers who consult them will have questions and may already be using OpenAI’s tool.