With the release of Prism, they’ve taken an exciting new step. This new collaboration space will harness state-of-the-art artificial intelligence to inform and develop researchers’ work to fruition. It sparks creativity and promotes a collaborative environment between humans and AI to deliver better results.
Prism is also fully embedded with OpenAI’s most advanced GPT-5.2 model. This incredible new tool helps users identify claims, improve their prose, and find relevant prior research. Our goal with Prism is to augment human ingenuity and creativity in the service of science. It is not meant to be used to do independent research.
Executives at OpenAI have high expectations for how Prism can accelerate the efforts of scientists. What makes this tool unique is its innovative approach to making the research process more equitable and inclusive. Developers have likened it to coding interfaces such as Cursor and Windsurf.
It’s a big deal During a press call, Kevin Weill, Vice President of OpenAI for Science, introduced the new tool. Most importantly, he underscored its vital role in advancing human-AI collaboration across research. He stated, “I think 2026 will be for AI and science what 2025 was for AI and software engineering.” This apples-to-oranges comparison does a good job of illustrating the transformative impact OpenAI expects Prism to have on the scientific community.
Now, for the first time, OpenAI has made Prism available free of charge to anyone with a ChatGPT account. Such accessibility allows a vast array of scholars to pursue new and exciting research. The nonprofit hopes to bring more scientific researchers aboard more quickly. Second, they provide a more intuitive and cleaner interface tailored to those researchers’ needs.
Prism combines the best AI model capabilities with strict context stewardship. This dynamic duo makes sure that users have the tools they need to work smarter and keep the integrity of their research intact. In a recent blog post, OpenAI touted the remarkable performance of Prism. Getting scientists to think differently about the way they approach their writing and research tasks was its biggest selling point.
“Software engineering accelerated in part because of amazing models,” – Kevin Weill, VP of OpenAI for Science.